Introduction to Data Anlytics

Course Dates: Saturday, April 22nd and Saturday, April 29th

Course Times: 9:00 A.M.- 5:00 P.M.

Certificate Hours: 14

Location: TBD 


Why should I take this 2-day intensive?

Excellent understanding of data analytics is the core foundation of any good business or marketing decision. Explore topics such as: introduction to descriptive statistics, inferential statistics, and statistical modeling; customer segmentation using K-means clustering; linear regression to forecast marketing outcomes; recency, frequency, and monetary (RFM) analysis; and A/B Testing to optimize results. Learn how to analyze historical data for continuous improvement, optimize current marketing efforts using customer behavior, and forecast marketing effectiveness as well as evaluate marketing methods. 

By the end of this course, students will be able to:

  • Know the importance of data analytics

  • Explain Descriptive Statistics (mean, median, standard deviation) and their use cases

  • Understand basic concepts from Inferential Statistics

  • Use historical data to plan for marketing strategy

  • Segment a population into different audiences using cluster analysis

  • Use linear regression to forecast marketing outcomes

  • Explain how A/B testing works to optimize marketing efforts

  • Explain what measurement tools are and how companies like Facebook, Twitter, Google use measure tools

  • Understand issues in attribution

  • Understand the basics of Google Analytics