vcc.ca
MGMT 1009: Business Statistics
Effective date
September 2019
Department
Business Mgmt PD Diploma
School
Hospitality, Food Studies and Applied Business
Description
In the business world, it is important to turn ever-increasing amounts of data into useful information that can be easily seen and understood. In this course students will learn the fundamental principles and practices of business data analysis and how to communicate business intelligence in visual formats. Working with a variety of data sources and software, students will learn make sense of quantitative business data by discerning meaningful patterns, trends, relationships and exceptions that reveal business performance, potential problems and opportunities.
Credits
3.0
Year of study
1st Year Post-secondary
Prerequisites
None
Corequisites
None
Course Learning Outcomes
Upon successful completion of this course, students will be able to:
- Explain the value of data analytics and visualization for business organizations.
- Compare and contrast data visualization tools and software for business analytics.
- Analyze data and visualizations for comprehension and accuracy.
- Use custom calculations to create interactivity and enhanced data analysis.
- Apply a variety of statistical methods for explaining, summarizing and presenting data and interpreting results.
- Discuss the key concepts of probability theory and statistical techniques.
- Perform inference to test the significance of common measures, such as means and proportions.
- Use simple linear regression and correlation analysis.
Prior Learning Assessment & Recognition (PLAR)
None
Hours
Lecture, Online, Seminar, Tutorial: 45
Total Hours: 45
Total Hours: 45
Instructional Strategies
Lectures, lab work, data analysis projects
Grading System
Letter Grade (A-F)
Passing grade
C
Evaluation Plan
|
Type |
Percentage |
Assessment activity |
|
Participation |
10 |
|
|
Assignments |
30 |
|
|
Midterm Exam |
25 |
|
|
Project |
35 |
Data visualization project |
Course topics
- 1. Introduction to Statistics and Data Analytics
- 2. Organizing data and creating visualizations
- 3. Measures of location and variation
- 4. Correlations and regression
- 5. Probability
- 6. Discrete Distributions
- 7. Normal Distribution
- 8. Sampling Distribution
- 9. Estimation
- 10. Hypothesis testing
Notes:
- Course contents and descriptions, offerings and schedules are subject to change without notice.
- Students are required to follow all College policies including ones that govern their educational experience at VCC. Policies are available on the VCC website at:
https://www.vcc.ca/about/governance--policies/policies/. - To find out if there are existing transfer agreements for this course, visit the BC Transfer Guide at https://www.bctransferguide.ca.