# GENBUS 206: Beginning Data Analysis for Business | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/GENBUS_206)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

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### observed at

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### built at

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### courses

8951

### current instructors

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### limited

false

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### term

1272

### departments

| subject   | count |
| --------- | ----- |
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| GREEK     | 27    |
| HDFS      | 41    |
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| INTEGART  | 7     |
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| NEURODPT  | 11    |
| NEUROL    | 7     |
| NEURSURG  | 4     |
| NTP       | 11    |
| NURSING   | 111   |
| NUTRSCI   | 65    |
| OBS\&GYN  | 18    |
| OCCTHER   | 39    |
| ONCOLOGY  | 14    |
| OPHTHALM  | 5     |
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| PATH      | 34    |
| PATH-BIO  | 29    |
| PEDIAT    | 26    |
| PHARMACY  | 31    |
| PHILOS    | 77    |
| PHMCOL-M  | 11    |
| PHMPRAC   | 45    |
| PHMSCI    | 60    |
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| PORTUG    | 33    |
| PSYCH     | 101   |
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| PUBAFFR   | 54    |
| PUBLHLTH  | 23    |
| RADIOL    | 11    |
| REALEST   | 41    |
| RELIGST   | 90    |
| RHABMED   | 9     |
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| RP\&SE    | 102   |
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| SOC       | 149   |
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| SRMED     | 21    |
| STAT      | 94    |
| STDYABRD  | 52    |
| STS       | 8     |
| SURGERY   | 25    |
| SURGSCI   | 33    |
| THEATRE   | 91    |
| URBRPL    | 60    |
| UROLOGY   | 5     |
| ZOOLOGY   | 89    |

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

2026-09-07 15:55:43.033547+00:00

### record version id

133ede092a42bd9bfe979ec920761593cd1fbafa7d92bb65282f6a6177a88ea2

### course id

GENBUS 206

### course uid

course\_da82143735bb474d94fc0ac0

### catalog version id

75451ca4156d5e7a3deb2b965700a3ab31cc9e7a7f7a3a7a93a1a9aa9b733d9e

### course number

206

### subjects

* GENBUS

### title

BEGINNING DATA ANALYSIS FOR BUSINESS

### description

Learn basic business statistical skills to comprehend business reports, and to calculate statistical findings from business data using Excel. Understand simple probability calculations and how to apply probability to specific business uncertainties. Build capability to use simple statistical models and tests to estimate business variables of interest, and learn about predictive relationships between variables. Become comfortable using Excel for data manipulation, data analytics, and data visualization. Apply statistical analysis to address business issues.

### requirements text

MATH 112and (GEN BUS 106or concurrent enrollment)

### credits min

3

### credits max

3

### credit offering ids

* 1272:231:026374

### llm job id

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### llm output id

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### llm model

nvidia/Qwen3.6-35B-A3B-NVFP4

### llm model revision

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### llm task version

14

### llm search status

valid

### llm summary

GENBUS 206 teaches basic business statistical skills, probability, and Excel-based data analysis to address business issues.

### llm topics

* Simple probability calculations and business uncertainties
* Statistical models, tests, and predictive relationships
* Excel data manipulation, analytics, and visualization

### llm skills

* Business statistical skills and Excel calculation
* Probability calculations for business uncertainties
* Statistical models and tests for business variables
* Excel data manipulation, analytics, and visualization
* Applying statistical analysis to business issues

### llm assumed background

* Foundational business analysis skills and Excel proficiency
* College-level algebra and problem-solving skills

### llm search phrases

* business statistics Excel
* data analysis business
* probability business uncertainty
* predictive relationships variables

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

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#### course id

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#### current instructors

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]
```

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

true

#### profile hash

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#### quick take

Recent recorded grades — Spring 2024: 3.00 GPA, 36.4% A/AB (n=44 letter grades); Spring 2025: 3.34 GPA, 53.7% A/AB (n=41 letter grades); Fall 2025: 3.25 GPA, 71.4% A/AB (n=42 letter grades).

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#### student experience

None recorded.

#### task hash

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#### teaching history

RICHARD CRABB is recorded teaching in Spring 2023, Spring 2025, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

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```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
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```

#### notes

* GEN BUS 106 in requirements\_text maps to linked course GENBUS 106.

#### root

n0

#### status

parsed

### instructors

```json
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### offerings

```json
[
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    "source_subject_id": "231",
    "title": "Beginning Data Analysis for Business",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
```

### sections

```json
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    "start_date": "2026-10-26 05:00:00+00:00",
    "end_date": "2026-12-20 06:00:00+00:00"
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]
```

### grade instructors

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    "source": "enrollment",
    "source_instructor_id": "rcrabb",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Richard Crabb",
    "email": "RCRABB@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
      "review_count": 69,
      "quality": 4.51,
      "difficulty": 3.25,
      "quality_count": 69,
      "difficulty_count": 69,
      "profile_id": "rmp:2130030",
      "source_url": "https://www.ratemyprofessors.com/professor/2130030",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:10:03.315943+00:00",
      "courses": {
        "course_801a8dc807b21e1c6c93cc3f": {
          "review_count": 31,
          "quality": 4.48,
          "difficulty": 3.13,
          "quality_count": 31,
          "difficulty_count": 31
        },
        "course_969e3f1b5c6d33d8965c5c9b": {
          "review_count": 1,
          "quality": 5,
          "difficulty": 2,
          "quality_count": 1,
          "difficulty_count": 1
        }
      },
      "bayesian_quality": 4.318918153605977,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "instructor_url": "/instructors/RICHARD_CRABB"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "GENBUS 206",
    "course_uid": "course_da82143735bb474d94fc0ac0",
    "term_id": "1234",
    "term_name": "Spring 2023",
    "instructors": [
      "Richard Crabb"
    ],
    "a": 8,
    "ab": 2,
    "b": 8,
    "bc": 3,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 1,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 22,
    "source_aliases": [
      "GENBUS 206"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "GENBUS 206",
    "course_uid": "course_da82143735bb474d94fc0ac0",
    "term_id": "1244",
    "term_name": "Spring 2024",
    "instructors": [
      "CLINT HARRIS"
    ],
    "a": 7,
    "ab": 9,
    "b": 14,
    "bc": 9,
    "c": 4,
    "d": 0,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 44,
    "source_aliases": [
      "GENBUS 206"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "GENBUS 206",
    "course_uid": "course_da82143735bb474d94fc0ac0",
    "term_id": "1254",
    "term_name": "Spring 2025",
    "instructors": [
      "Richard Crabb"
    ],
    "a": 14,
    "ab": 8,
    "b": 16,
    "bc": 2,
    "c": 0,
    "d": 0,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 41,
    "source_aliases": [
      "GENBUS 206"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "GENBUS 206",
    "course_uid": "course_da82143735bb474d94fc0ac0",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "Richard Crabb"
    ],
    "a": 20,
    "ab": 10,
    "b": 5,
    "bc": 1,
    "c": 2,
    "d": 0,
    "f": 4,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 2,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 44,
    "source_aliases": [
      "GENBUS 206"
    ]
  }
]
```

### statistics

#### gpa

3.216

#### graded

148

#### counts

* 49
* 29
* 43
* 15
* 6
* 0
* 6

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_da82143735bb474d94fc0ac0-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_da82143735bb474d94fc0ac0-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_da82143735bb474d94fc0ac0-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_da82143735bb474d94fc0ac0-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_da82143735bb474d94fc0ac0-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_da82143735bb474d94fc0ac0-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.2162162162162162

#### count

148

#### university

##### size

2961

##### gpa Percentile

8

##### count Percentile

68

##### median Count

91

##### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 14    | false   |
| 2.8–3.2 | 195   | false   |
| 3.2–3.6 | 783   | true    |
| 3.6–4.0 | 1968  | false   |

#### departments

```json
[
  {
    "subject": "GENBUS",
    "comparison": {
      "size": 40,
      "gpaPercentile": 5,
      "countPercentile": 49,
      "medianCount": 164,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 2,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 8,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 30,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1234

##### term

1234

##### gpa

3.357142857142857

##### count

21

##### departments

| subject | comparison |
| ------- | ---------- |
| GENBUS  |            |

#### 1244

##### term

1244

##### gpa

3

##### count

44

##### university

###### size

1241

###### gpa Percentile

4

###### count Percentile

28

###### median Count

65

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 2     | false   |
| 2.4–2.8 | 9     | false   |
| 2.8–3.2 | 151   | true    |
| 3.2–3.6 | 373   | false   |
| 3.6–4.0 | 706   | false   |

##### departments

```json
[
  {
    "subject": "GENBUS",
    "comparison": {
      "size": 19,
      "gpaPercentile": 6,
      "countPercentile": 17,
      "medianCount": 100,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 4,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 5,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 10,
          "current": false
        }
      ]
    }
  }
]
```

#### 1254

##### term

1254

##### gpa

3.341463414634146

##### count

41

##### university

###### size

1289

###### gpa Percentile

20

###### count Percentile

23

###### median Count

66

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 17    | false   |
| 2.8–3.2 | 128   | false   |
| 3.2–3.6 | 379   | true    |
| 3.6–4.0 | 765   | false   |

##### departments

```json
[
  {
    "subject": "GENBUS",
    "comparison": {
      "size": 28,
      "gpaPercentile": 19,
      "countPercentile": 30,
      "medianCount": 83,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 1,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 11,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 16,
          "current": false
        }
      ]
    }
  }
]
```

#### 1262

##### term

1262

##### gpa

3.25

##### count

42

##### university

###### size

1320

###### gpa Percentile

13

###### count Percentile

24

###### median Count

70

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 8     | false   |
| 2.8–3.2 | 133   | false   |
| 3.2–3.6 | 381   | true    |
| 3.6–4.0 | 797   | false   |

##### departments

```json
[
  {
    "subject": "GENBUS",
    "comparison": {
      "size": 27,
      "gpaPercentile": 8,
      "countPercentile": 15,
      "medianCount": 98,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 1,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 9,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 17,
          "current": false
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

2961

###### gpa

3.675002446012273

###### top Share

82.84369387140099

###### count

91

##### GENBUS

###### size

40

###### gpa

3.6871201188279707

###### top Share

83.55284718055529

###### count

164

#### terms

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

###### GENBUS

###### size

17

###### gpa

3.5936021095838138

###### top Share

77.59651261160623

###### count

103

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

###### GENBUS

###### size

19

###### gpa

3.534713725247456

###### top Share

74.84471631838613

###### count

100

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

###### GENBUS

###### size

28

###### gpa

3.642800867856554

###### top Share

80.80715279553331

###### count

83

##### 1262

###### school

###### size

1320

###### gpa

3.628825763035853

###### top Share

80.21118846327654

###### count

70

###### GENBUS

###### size

27

###### gpa

3.655019994289601

###### top Share

82.47740840714685

###### count

98

## instructor Trends

```json
[
  {
    "uid": "instructor_3e23a80516031dcdfe5f613f",
    "name": "RICHARD CRABB",
    "count": 104,
    "terms": [
      {
        "term": "1234",
        "count": 21,
        "sections": 1,
        "gpa": 3.357142857142857
      },
      {
        "term": "1254",
        "count": 41,
        "sections": 1,
        "gpa": 3.341463414634146
      },
      {
        "term": "1262",
        "count": 42,
        "sections": 1,
        "gpa": 3.25
      }
    ]
  },
  {
    "uid": "instructor_14e16c800abecce73b1393c0",
    "name": "CLINT HARRIS",
    "count": 44,
    "terms": [
      {
        "term": "1244",
        "count": 44,
        "sections": 1,
        "gpa": 3
      }
    ]
  }
]
```

## following

| code             | title                                   |
| ---------------- | --------------------------------------- |
| ECON/FINANCE 300 | INTRODUCTION TO FINANCE                 |
| GENBUS 207       | INTERMEDIATE DATA ANALYSIS FOR BUSINESS |
| MARKETNG 310     | MARKETING RESEARCH                      |
