ACCT 2004: Data Analysis and Databases
Effective date
September 2025
Department
Accounting 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 been easily seen and understood. In this course students learn the fundamental principles and practices of data analysis and how to communicate business intelligence in visual formats. Working with a variety of data sources and software, students learn to make sense of quantitative business data by discerning meaningful patterns, trends, relationships and exceptions that reveal business performance, potential problems and opportunities. Students will also learn to manage relational databases, using queries, and create, edit, and delete tables using SQL or other query languages.
Year of study
2nd Year Post-secondary
Prerequisites
MGMT 1001, MGMT 1021, MGMT 1020.
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
- Analyze data and create data visualizations and forecasts using advanced excel features
- Use data analysis techniques to asses the financial health of organizations
- Enhance visualizations with custom formatting, labels and annotations
- Use data analysis to create financial modeling projections
- Combine data from multiple sources and databases to create a unified source of information
Prior Learning Assessment & Recognition (PLAR)
None
Hours
Lecture, Online, Seminar, Tutorial: 45
Total Hours: 45
Instructional Strategies
Lectures, Lab work, Group Work, Data Analysis Projects
Grading System
Letter Grade (A-F)
Evaluation Plan
|
Type
|
Percentage
|
Assessment activity
|
|
Participation
|
10
|
|
|
Assignments
|
30
|
|
|
Project
|
35
|
Data Visualization Projects
|
|
Final Exam
|
25
|
|
Course topics
- Introduction to Data Analytics and Business Intelligence
- Creating Visualizations and Dashboards
- Foundational to Advanced Analytics
- Row-Level and Aggregate Calculations
- Table Calculations
- Formatting Visualizations
- Telling a Data Story with Dashboards
- Adding Value to Analysis - Trends, Distributions and Forecasting
- Advanced Techniques
- Presenting Data Stories
- Data analysis and financial modeling
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.