Reading user and session data from Google Analytics using R
Pie charts, box plots, histograms, density plots, scatter plots
Why is segmentation of data important? Slicing and dicing data to demystify user behavior
Advanced exploration and visualization techniques
Introduction to Online Experimentation and A/B Testing
Why A/B testing or multi-variate testing is needed?
Looking at some interesting A/B tests
Understanding concepts of A/B and multi-variate testing
Statistical fundamentals for A/B testing
Some common pitfalls of A/B testing
Setup a landing page
Hook up Google analytics with the landing page
Setup an A/B test on a landing page (could be as simple as two different colors of buttons on the page)
Seed it with some social media advertising budget
Analyze user behavior using the exploration and visualization techniques we learned on day 1
Analyze any differences in user behavior between A and B versions
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