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