Introduction to Business Analytics

What if everyday decisions were guided by evidence, not hunches? This course teaches business analytics through practical ways to source, govern, analyze, and visualize data, then expands what you’ve learned with AI and machine learning for forecasting and automation. Learn to build and integrate data sources across departments and use descriptive, predictive, and prescriptive analytics for strategic insights. Explore the use of pivot tables and dashboards to communicate trends effectively and make your findings clear and actionable. Harness the power of AI to automate data tasks, forecast business outcomes, and mitigate bias in analytics. Learn how to predict customer churn and optimize marketing campaigns with analytics-driven strategies. Drawing on real-world experiences building scalable data products, this course emphasizes clarity, repeatability, and impact and teaches you how to turn raw data into confident, defensible decisions.

Learning objectives
Think like a data professional to solve business problems with clarity and logic.
Translate raw data into strategic insights that drive better decisions.
Select appropriate analytics methods for each use case.
Build and integrate data sources across departments to uncover broader insights.
Apply basic statistics, pivot tables, and dashboards to extract and communicate trends.
Use AI tools to automate data tasks, forecast outcomes, and mitigate bias.