We're still actively developing this site. If you encounter any issues, please report them! - Report an issue

DATA VISUALIZATION FOR BUSINESS ANALYTICS

GENBUS 720
Course Description

Introduce students to principles of data visualization and provide hands-on experience using data visualization tools and techniques for business applications. Develop proficiency in current visualization software tools, and leverage these tools for data exploration, insight into decision-making, and data presentation. Recommended for students to have general computing skills and familiarity with MS Word, MS Excel and MS PowerPoint; introductory-level exposure to coding in any language; some R experience; basic statistical literacy, equivalent to at least one semester of statistics.

Prerequisites

Graduate/professional standing

Satisfies
Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.87

4.59% from Historical

Completion Rate
100%

0.25% from Historical

A Rate
80%

62.79% from Historical

Class Size
15

-87.16% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

Similar Courses

DATA TECHNOLOGY FOR BUSINESS ANALYTICS

GENBUS 760

Focuses on various technologies needed to perform data analytics. Techniques of extracting structured and unstructured data from databases, applications, or social networks. Transform and combine data with other relevant information and load into targeted systems. How to use programming languages to collect data from the web and leverage libraries for other, more, advanced data analysis.

APPLIED ANALYTICS - CASE STUDIES

GENBUS 884

Project-based applications of statistics, programming, data visualization, and database management.

STATISTICS AND PROGRAMMING FOR BUSINESS ANALYTICS

GENBUS 705

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.

DATA TO DECISIONS

GENBUS 704

Exploration of statistical inference and data analytics tools. Review of relevant foundations of statistics, machine learning and probability theory. Emphasis on applying the resulting concepts to canonical business examples, using both Excel and R.

DATA VISUALIZATION & CLOUD TECHNOLOGIES

GENBUS 883

Provides experience in data visualization and cloud technologies to support business analytics. Create and share compelling data visualizations to enhance decision making. Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.