4. Skills of Data Scientists
● Collecting, querying data
● Math and Statistics
● Programming, scripting
● Domain-specific expertise
● Communicating data insight
● Curiosity
6. Types of questions
● Descriptive: What happened?
● Exploratory: See patterns in variables
● Inferential: Estimating variables population
● Causal: Does x affect y?
● Predictive: Predict values for another object
Image : http://www.gs.washington.edu/academics/courses/akey/56008/lecture/lecture1.pdf
8. Why A/B Testing?
● Randomization experiment
● Confirming which idea is better
● Only some users will be tested
● Development effectivity
● Know the significance of the change
● Utilizing traffic
Image : http://www.gs.washington.edu/academics/courses/akey/56008/lecture/lecture1.pdf
9. Growth Sprint
1. Set Goals for 2-3 months
2. Do the growth hacking process
3. Learn and iterate
10. Test on every funnel: AARRR
http://www.slideshare.net/dmc500hats/startup-metrics-for-pirates-long-version
11. Test on every platform
http://techblog.weddingwire.com/blog/posts/the-matrix-a-quick-guide-to-cross-browser-compatibililty-testing
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12. Case Study: Acquiring App Users
Display banner with simple but informative design increase CTR by +34%
13. Case Study: Prevent exiting checkout
Confirmation popup on mobile web to prevent users leaving checkout page improve conversion rate +32.5%