Data Visualization and Business Analytics
November 20 2019
Course: COMM414
Audience: BCOMM Students
Learning Objectives
- Understand basic business analytics terminologies.
- Know real-world business analytics examples across multiple industries.
- Be able to perform terabyte-size (1 000 000 megabytes) data queries and aggregations with Google BigQuery.
- Be able to create effective data visualizations with Tableau.
- Be able to build and estimate regression and basic machine learning models, and perform data simulations and optimizations with R.
- Generate business insights from business analytics outcomes.
Key Modules
- Business Analytics Overview
- Data Economics
- Numbers and Insights
- BigQuery & SQL Basics
- Descriptive Analytics
- Summary Statistics
- Dimensions and Segmentation
- Time Series and Trends
- Spatial Data
- Predictive Analytics
- Introduction
- Regression
- Logistic Regression
- Machine Learning
- Prescriptive Analytics
- Introduction
- Simulation
- Optimization
- Industry Applications