[{"run_id":"20260906T231458-5fdd2fff","semester":"1272","observed_at":"2026-09-06 23:14:58.172943+00:00","record_version_id":"a878229b868eeba6e8114e9c0ccaa8fb91780b023b1f7d70588c779445e17aef","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"20260907T155543-ce3781c4","semester":"1272","observed_at":"2026-09-07 15:55:43.033547+00:00","record_version_id":"a878229b868eeba6e8114e9c0ccaa8fb91780b023b1f7d70588c779445e17aef","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-03b0bbb9723907cf3d1b41cf0bb34837dc398e42","semester":"1262","observed_at":"2025-04-16 05:20:33.104844+00:00","record_version_id":"621a9991d736d463a8bf1baf9ff7fcf7f664441ed869b712e5a14a3a24c4894e","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-0837245627eb714ae6bb0375f7abe8f41042011f","semester":"1262","observed_at":"2025-04-16 05:20:33.104844+00:00","record_version_id":"621a9991d736d463a8bf1baf9ff7fcf7f664441ed869b712e5a14a3a24c4894e","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-08c92e359bbbc110b0778b7e0b15d6f40000e6b1","semester":"1262","observed_at":"2025-08-21 07:05:14.730696+00:00","record_version_id":"1cac618cdd2ac732f2a8ca3b1fac63b83b48009e9dfdf478c53673d6cfbab341","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-0944d76440dc778fbb89626058c10451009ce9c6","semester":"1262","observed_at":"2025-05-21 03:36:18.194118+00:00","record_version_id":"a0879e659c88d508dc2b3527a65df626fd97e6976127f5d61cb600b79ddd2fba","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-0a7f4bce29c816ef4d3d71b4eb8a2a3e15e33cc1","semester":"1262","observed_at":"2025-06-18 20:04:02.695444+00:00","record_version_id":"aa2d0920f6a7ef69839af10b7dd3142193d35fafdcb46b19b000c2974acad799","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-0ab917f827a7de22ebdc1087114d377a31c4687b","semester":"1262","observed_at":"2025-05-22 02:11:02.531191+00:00","record_version_id":"95180324e34d03143b1cedda95f8ac42f89f31d5029fa821a78bc49da596eaca","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-0c40ecab4b6db9333d1f18aef816e3ee659e300c","semester":"1262","observed_at":"2025-05-25 18:02:34.797617+00:00","record_version_id":"876d0936e37e30a9eff2c8c498af8ab7c16cd9f192b75f2822761f889680dbf6","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-0cb4d29a588ec7f11c7e00b7cf5dc3a0d23d0349","semester":"1266","observed_at":"2026-01-22 01:00:26.555427+00:00","record_version_id":"8b2bad6264d5945265c4426d071f53ccfb76b9de3b77fd767ada3a4ce26c9f9f","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-11c30ec39e91498cbfcf3a923c53a4b03e387280","semester":"1262","observed_at":"2025-07-20 04:58:26.847117+00:00","record_version_id":"91cb4ef339f62f3abb2d4c5b7cf7444eebaa19fbfbb51ca64b5d8354260301a1","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-13cd500edf2587e9a3428f326253738fbea965ea","semester":"1264","observed_at":"2025-12-14 04:50:04.653658+00:00","record_version_id":"fa59574530c528e562694401d3174f434b44115105c6b22c0e321fb8005ddc44","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-1da08b2de39f05e6bc877c189fc2fd6eeda563f5","semester":"1262","observed_at":"2025-07-01 00:03:56.707251+00:00","record_version_id":"02ecd98abab26571f5375c86d068a4a9e5b6d0f631800a388259e797bba6497d","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-2031af47efe133b0e7877f433286ff07385afc41","semester":"1262","observed_at":"2025-07-02 20:16:45.749584+00:00","record_version_id":"7b83805dc362384370ff1241ec41e5f63fd9ef120cb171574db09d7a07d3cbfc","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-238eba6f32fbc30407f616dd0628ff02a2a824dd","semester":"1262","observed_at":"2025-08-17 05:15:07.788352+00:00","record_version_id":"c4c4e90ca401c79175c57c153a94d6b36259514c609c4924979d230776bd41d5","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-25f0ff56bc4d80f8a8afa1a0bcce8dae6fddb5e5","semester":"1262","observed_at":"2025-05-25 17:20:25.942090+00:00","record_version_id":"1fdab43ce2e6819ad6d9a897d3bb68099f2b6fa1cddf71975af5354e6cde0c5a","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-2923f91826ce253b7aeefa9f75b4a39fe4c80ff0","semester":"1262","observed_at":"2025-08-10 05:10:25.938416+00:00","record_version_id":"028d83c45e84d67861b338d68c0452fed6cdf68334e46bbf7fa06cb7e82d7e50","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-2a05214a4023e0157fa6f7d188c85308f714176c","semester":"1262","observed_at":"2025-09-07 04:56:38.255315+00:00","record_version_id":"c025042f23286d563ad7c8c8021029a2e315135812df1704c7bb530495bcd57f","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-2b1b8e39131de92b94620b25c5bbb25690efed4c","semester":"1262","observed_at":"2025-06-01 07:54:53.913454+00:00","record_version_id":"30baa0bcef47bd1a05d157c76fbc682591113597b17cda0b344f056900f1c20d","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-33a1225644e5a5855d60f66e65413946e72fedf4","semester":"1262","observed_at":"2025-06-22 01:52:05.152650+00:00","record_version_id":"e40022f15641350bdafe97f18771513502f2c640a88d1102e95399c840e1d693","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-3b89c83dbf5208e13756184de1f2b2d0c09af35f","semester":"1262","observed_at":"2025-06-30 06:40:10.235522+00:00","record_version_id":"a148471a426b98025b15a6040cf3f0dc82ba9de1cfbe8236cd7bdab0bc3a0fdf","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-3c3eebf7f35c39364b445a2fa5a112ce28dbb4a1","semester":"1262","observed_at":"2025-06-01 17:03:59.062985+00:00","record_version_id":"9188036c544af79f95f0e4cb8680a956dcf52c8335ca287f268834410962cbf9","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-3fa4dd71391f1c9cf4ab2216680bbc428689f92d","semester":"1262","observed_at":"2025-05-25 01:15:58.180530+00:00","record_version_id":"4ced7895add7a98e069dc07605e2195597d67b9bd9a9fc49f04d267a033e6574","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-4040aa216da722a34483f68fc1e129ea571ae08d","semester":"1262","observed_at":"2025-06-01 07:27:39.695506+00:00","record_version_id":"4273d9589dbfdb56761c40f48d7464771c6dd908fa235f4ef2e40a29644829a3","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-454d53cd690294459f8ad0793cc3ed562060e56c","semester":"1262","observed_at":"2025-05-25 01:34:00.536004+00:00","record_version_id":"d1e067422c39e349a1a89c46df60ed55480b6034e1a3d4b2d4d3d53e283fc000","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-486f091e051fdb4ccdb80ee7b4fb0a5814510324","semester":"1264","observed_at":"2025-11-16 05:32:31.273726+00:00","record_version_id":"e2ee66828943bb09efd81436cf98ecbd7dba3503936e9fb0691f04dfe1a542fd","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-50393cfc5fd5598d4f4731ef1919f2ff53af07d9","semester":"1262","observed_at":"2025-06-30 06:05:57.438846+00:00","record_version_id":"8136cad03d40a684dbd5766476721786031cbde3632491425a0c0a18bd010c60","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-50f6947786b208c800db8bbd0cec84a8f0f187d2","semester":"1262","observed_at":"2025-06-02 03:49:42.915428+00:00","record_version_id":"9c91703dab930775cae51f1fcbe5aa8e8989b79917b125ce1a4dfbcc6f36d495","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-51d86ed4082dced3803c295419b0ec8440942016","semester":"1264","observed_at":"2025-11-12 04:50:41.141307+00:00","record_version_id":"c4c962c9cbaa9786b5cfb9b3f78c14413fd7391c062c7d1f32d5c6b08874a8f4","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-53101bd1c10db0d00d094e4c9154d4c244ff23d9","semester":"1262","observed_at":"2025-10-05 04:58:05.366968+00:00","record_version_id":"793ac4fbaa2e1cdbc1679b81fa4b13cb2bd13faa16d38885d4fb5f537297ea3b","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-58751151c564e11c5cb8aedd3a2d3527c22f73eb","semester":"1262","observed_at":"2025-06-01 06:59:01.536576+00:00","record_version_id":"714ef713e648dc17585f0095d139a93bdfd9e6b01f5b4e32c8b243c118cf310b","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-5c4c8d3701a333ba4ddadef7d0b5dde8440fcdf0","semester":"1262","observed_at":"2025-06-01 01:57:51.256704+00:00","record_version_id":"1c63ec975fcf144ccd8a26daf361eec3b20f675b8f4977f9f97430c654087e6f","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-5d20d9f81651d3c83fcaa2fd10870ce6e5d5a685","semester":"1262","observed_at":"2025-05-21 16:48:48.484741+00:00","record_version_id":"97f5d9d02b799de1ea43345a9a89307786f33272e53bc0e3aa5d4185762ea8c9","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-5feaebf2ab37051c86ad360cc0fa0d7e0e2ea295","semester":"1262","observed_at":"2025-05-24 15:58:23.378859+00:00","record_version_id":"5a9f982ec77eeb9bff939f9f96c189deb4b0410656f3517564e0c7ad5ebb9d57","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-60949965544fce098cc006354e201149005fb77b","semester":"1264","observed_at":"2025-10-26 05:07:14.077864+00:00","record_version_id":"3b15048e6f93d12159f6c0fe3042d8571eea26591919004df0b894ced21152bd","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-639225ac3addf8522f1d30cb4fe26054ea7f8c49","semester":"1262","observed_at":"2025-06-01 08:14:42.497608+00:00","record_version_id":"9576e76e948dd3b67a50952fa41099f2ab8632bdf811d237c5a87304afabc8de","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-64093b17b3a9c67a41aa33eb37adb53ec38df714","semester":"1262","observed_at":"2025-05-22 02:11:02.531191+00:00","record_version_id":"ab8445b5ffa844910fe8f2ff8f60dec20c951549ba46f78810b1101f43457ea9","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-6885b56099f55e08aa0205546369fb0381d50e13","semester":"1262","observed_at":"2025-07-13 04:59:22.367394+00:00","record_version_id":"2f1e62678a37cbb16cab7efdc5cd9e661a39ec60547b13bf20b2587ee5870e6b","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-69d4b2b16e8268f75b6390b3a0e2ce8bf73999da","semester":"1262","observed_at":"2025-06-30 03:21:29.925498+00:00","record_version_id":"94ce4171aba586e58e1dbedb85eaccac3db93af19eb6e4190b8bf6f7a29b499f","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-6b29c3e0673b2f9a736d2363db5409e03d5b3ed4","semester":"1264","observed_at":"2025-12-03 12:33:41.418072+00:00","record_version_id":"bdce8b57eb3edc3fc65965c92b43f261801d70960b15aff95721797291d82188","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-73259984748de484976ef2ad56ad7ab3d4cb4518","semester":"1262","observed_at":"2025-06-26 08:27:56.461216+00:00","record_version_id":"7db188504487615b93274d60cfeb009acd05eb089eb9affa855abead5734b967","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-741602fbc6252c232a0b9e6bc1a9ae3101625f5a","semester":"1262","observed_at":"2025-06-30 22:49:32.522034+00:00","record_version_id":"968a9c0ee96f75f83fd87a1e29779f218e357354e54cbe596e73857b570d3ab3","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-7774f45558276ec29bf626e58fffb4a27bdbb2a9","semester":"1264","observed_at":"2025-11-01 11:49:36.359151+00:00","record_version_id":"cd41e08901423c2543d5b30e783b78d122869d691109d7ef65f6b1116df34b1b","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-7ab7c5e783fc8ebef8b8ee8cea019ee37a72ce74","semester":"1262","observed_at":"2025-09-28 04:58:07.340658+00:00","record_version_id":"69d82e52bb95c198bc19a84207f4cf8dc34180867c554e26cdd8d3829ac56056","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-7b2f22d83ea05055ab90dcb77dc802382cccc6f7","semester":"1262","observed_at":"2025-05-21 17:56:46.096741+00:00","record_version_id":"d222b49e6e7aff1d5359fa3f587390403a93255329bebfcc2d94d31d40c1a02c","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-7ca1175502be18eb51f7b016818a884a43fd4ebb","semester":"1262","observed_at":"2025-07-29 06:28:23.644795+00:00","record_version_id":"105369599933123f7b1256f94aa6acf9aa5abe2bd579c552053f1d5ce65c1d9e","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-7d8cee5e42602ad9ba5dc0322085af2fa0dffaac","semester":"1262","observed_at":"2025-05-22 01:15:19.291664+00:00","record_version_id":"318c28c6c73db54c235001245c43c1d3c4b5e515f52df13d2c5ff117e2673cd8","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-81a0d6a7f668c98c59bd05fa988aa079c5ad1f68","semester":"1262","observed_at":"2025-05-31 07:49:50.419452+00:00","record_version_id":"5b0e8c113cbb167efcbdd1f7db7cd271da914d652ea8edaacd7a90a5fd0477db","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-82f31c08c746a214872494cde6ecaeb9330441b4","semester":"1262","observed_at":"2025-06-17 21:26:08.547156+00:00","record_version_id":"d3f3ba0bc2f06ab3eb6ba704af51f79984b67b7401daac54c7ad42776752dc74","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-84c248343c5a99ab42c5616c594812a5e3e31cbb","semester":"1262","observed_at":"2025-07-04 06:00:07.487827+00:00","record_version_id":"600ba9a57908017839b31a49f728c997eeb09b4d67c2ae5579b8e6126da964eb","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-86334e7275e315853287e8580c35456c68df800b","semester":"1262","observed_at":"2025-05-22 06:53:03.336354+00:00","record_version_id":"e2d9fc439c59799f9bc73603551b28ee194c1ecc81552467a706fddc46f6b73b","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-8686dc1664f93a6c05f50321410961b39b12f91b","semester":"1262","observed_at":"2025-05-28 10:17:41.595894+00:00","record_version_id":"a6afa6aecf0e4ab684598b4e25b2474191a6e2078850d3da732408f796cace10","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-86d941366886c9a14a2581c04e20d0bdd25e1b02","semester":"1262","observed_at":"2025-08-31 04:54:14.656039+00:00","record_version_id":"ae14f483307cdfd2f451f04c9fbae8d434320672ff26144abea363707bff39e1","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-8ba1d2e6cfbb1525b4f9f769ec164fb6ad0f237a","semester":"1262","observed_at":"2025-06-02 05:22:45.010398+00:00","record_version_id":"625e0c8caa89de1fa408381e7040383cef51a2cdec5579fe518180263e22a613","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-90e5aa456689a3b222016c05c319bbcd0bddd453","semester":"1262","observed_at":"2025-05-25 02:00:10.037905+00:00","record_version_id":"6e7b669bc30a97ecffcb7afaff5233df6861c0cb612e305e792c47f2f49af4c4","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-92d960aa7e4cd6e4c9ac8b2e232092904038e9e4","semester":"1262","observed_at":"2025-06-08 01:50:46.451351+00:00","record_version_id":"e3accfc06c8c4ccd4e0983cc16cb2646f9aebcb6db7489341d43f64dd18734dd","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-94002ae588a8f71eca6d64105f2e603e8587293b","semester":"1262","observed_at":"2025-05-21 09:01:16.021508+00:00","record_version_id":"07e6fee62f8ab02675c6454064b560cc0c197dd188698caeb0c79f61a6055c6d","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-9dd575e013c5c6e000ab3ad2d1288cc1dd9c96dc","semester":"1264","observed_at":"2025-12-21 04:47:46.589081+00:00","record_version_id":"7be515a99d510dbd74710ee36e34842e1532d70daaa78a7aa7be3bba6d8dee57","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-a1ea26ed78cbd6e94bc3221e50a6ed9b6bf43871","semester":"1262","observed_at":"2025-05-25 09:16:55.180581+00:00","record_version_id":"77b06f4db218029efd8b68cd5d7805a606fdb4a2cae87f4a9dd22b5a6c4f7b60","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-a76a3505853d5ea9c13bb98472b87361d469e2ee","semester":"1262","observed_at":"2025-05-28 18:03:41.793846+00:00","record_version_id":"608686f8d3e1ecd39e2e531954e15bf2440476ce805a57905c990ab07f7a9635","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-b285d591f6acf3aa1910e02edc297664db86eb8c","semester":"1262","observed_at":"2025-06-10 22:48:22.460295+00:00","record_version_id":"eb3a403469ae59cb0e931128b9b60a80b839a8bc7dde3740864b516c745fc77b","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-b79af756e4f00ba98231feb859ed8e98239eb811","semester":"1262","observed_at":"2025-05-22 02:47:56.931581+00:00","record_version_id":"302f09dce253f079f03627ff19126e9223ad8a22ded212fe855fe2d744ed2f05","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-b89e05b94730c6471439082d9279c0a834a4aeec","semester":"1262","observed_at":"2025-08-26 20:25:42.325239+00:00","record_version_id":"558082e37f49d8ca323015c1156ce50ccc71c824f084755b3a7df9ac9b99fcd2","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-b9279a12d1f2688df9e556183c94d41a89e431dc","semester":"1262","observed_at":"2025-07-06 01:49:47.203835+00:00","record_version_id":"ffb32f704dcddeb50b8f27e1ed407242a322e06cb0376ffcbce0407aa27bc0a7","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-bbdc905e96cc681a5e9a8b02c795b682206e36d1","semester":"1262","observed_at":"2025-06-25 08:02:45.445730+00:00","record_version_id":"7b1abdb4085115f2659cae5ab6e016bde447ba9ab2e0ed48aeb704e94ee921b8","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-bde225b5243a13d81827aa173e39c78a652b54a0","semester":"1262","observed_at":"2025-05-23 07:22:33.219345+00:00","record_version_id":"65b43d1518c3f11aba1a2da174bbe489cac1508105622bbd54e033a2d72ca333","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-c1fac4cbfde737f4f4ac02cdf15e6f5a9b5b676d","semester":"1262","observed_at":"2025-05-22 01:15:19.291664+00:00","record_version_id":"318c28c6c73db54c235001245c43c1d3c4b5e515f52df13d2c5ff117e2673cd8","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-c6b62be45f8a13cba109ef2a7741b9cd9a6b8272","semester":"1262","observed_at":"2025-08-24 08:48:09.035112+00:00","record_version_id":"ca921d7b9fbeb6a392f39781a7418d50df2706d0b57e47ba2bdf7971e89ddce2","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-cc83f62cb6db61f39320916d819ad48ce55cd96d","semester":"1262","observed_at":"2025-05-22 00:45:35.735230+00:00","record_version_id":"a38d19d8d8782f5e0c1eafd1e47a107162e1e773839f6f053af5a98551f90ddf","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-d33818a01b6b4c5e2902e704da6e5b713742d4dc","semester":"1262","observed_at":"2025-10-13 10:46:24.251475+00:00","record_version_id":"3add01cd7eae7e09eb9b52e280e29be9722474a6a75a3f0e99bb74d35db9130d","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-d3c17db9832d3064916046caf891dd23f10b1bb9","semester":"1262","observed_at":"2025-08-26 11:30:42.288639+00:00","record_version_id":"fbb55c8ab5d91c0fe698dfa0e9799d3d6c1b86e7760ae6266608f11e8f9087ee","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-d4ee226dc44268e9b6767fb9f5f20343322f494b","semester":"1262","observed_at":"2025-06-15 01:52:23.911697+00:00","record_version_id":"341dc6b71a579a4a7cf1755ba5847fab9b13c627f8213f02cda65d5ef5f65010","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-d8f9fc7f136e2033556d9d65bbdbdf33425dbdc9","semester":"1262","observed_at":"2025-05-28 16:48:12.400438+00:00","record_version_id":"2f9deabcdf5169931ca3a233a5772b048bb3365f8fbb75e071cb30c58acd6aac","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-dbbc9739c616c3846b2e796e00a36fa41225f7d8","semester":"1262","observed_at":"2025-06-01 17:47:19.325144+00:00","record_version_id":"68ec85a77df32cb0139a75bfcf707e5af0e02251626c00b5be14604c5e836623","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-dbe5f2d24b48c3177297a3d69c553cc9d1194bac","semester":"1262","observed_at":"2025-09-14 05:00:27.366070+00:00","record_version_id":"701187c2232586e1bebb03c57fc3aa61db4b4a000665db14c70c473728652e83","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-dd357dc2758e9e282c30988a527ce37de92593b9","semester":"1264","observed_at":"2025-10-19 01:39:41.951404+00:00","record_version_id":"41e4a6f53c11ef267ba920bfe51660dcbc4a2f751d2a03aa29c8654e672c4427","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-de74de559e409a3fe668685e28043b888d2e6841","semester":"1262","observed_at":"2025-06-27 07:38:50.882897+00:00","record_version_id":"12516a1d9bc69776b931d49be7bf170c8d6c95c728ce6bb052f2f4ef9b33ca81","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-deca7188cf536ade3203cd88b52a45e92a059617","semester":"1262","observed_at":"2025-06-27 00:37:46.087071+00:00","record_version_id":"797a685a64ced6a362cb62cd30c4b075612fa0737338cf681eb7cc43ff5de9cc","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-df60fa9ac3931c5612b0fa641b7a6f5fbec86fab","semester":"1262","observed_at":"2025-05-24 06:36:37.554678+00:00","record_version_id":"79ae89a0b805082251990983e6135249bbcc4b9c559d48f2d04920cc239844ff","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-e339da2d849aaf8bb4dceca07a84728af23cf755","semester":"1262","observed_at":"2025-07-23 08:49:22.748925+00:00","record_version_id":"414800ce373b8bbb4268e9e2dab403f37b9d67ffd57b7a0050529e840eaa168f","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-e934b1784835f5d36ae9b7ef0992b11e72c39142","semester":"1262","observed_at":"2025-06-01 06:21:25.219533+00:00","record_version_id":"583b71c47937ecf878c2f214c378ab04dfccb1b7a8dc79eaff79e778a0ba19d5","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-ef471690c082448deebd2687eab84b0b78813c36","semester":"1262","observed_at":"2025-06-29 01:47:56.317645+00:00","record_version_id":"280e86879815c7c2b978dc37bf3d4149bb58712f47882e95e4d00cedd3b2a71f","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-efc4e8e2cd7c3f68e059a308990c00c77c7611eb","semester":"1264","observed_at":"2025-10-16 05:48:13.935141+00:00","record_version_id":"0afe2897344e1da80d18db87235e6a252a1dc41ab0eb6fe7d8bc7adb9c109054","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"},{"run_id":"legacy-f18b7749725097d41f69c60779ff38cf073b93b3","semester":"1262","observed_at":"2025-05-21 19:52:03.259353+00:00","record_version_id":"82cf473d0eb4c9239a351a3d6e640e0a9e347b5c364e724a473c84c4536a2c52","course_id":"GENBUS 705","course_uid":"course_0426d660e13ba1ab81baa246","catalog_version_id":"c1e0b7425dca184296febfba5735ad0bf60e28425fba8cf187a5047b9b8f9329","course_number":705,"subjects":["GENBUS"],"title":"STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS","description":"A compact primer in statistics and an introduction to programming as a foundation for data-driven business analyses. The first part covers elementary concepts such as random variables, probability distributions, estimation, and ordinary least-squares regression. In the second part, the course exposes students to Python and R programming, including numerical and statistical packages that are relevant for practical applications in business.","requirements_text":"Graduate/professional standing"}]