Optimization & A/B Testing Statistics
Optimization & A/B Testing Statistics, available at $29.99, has an average rating of 3.25, with 21 lectures, based on 189 reviews, and has 1631 subscribers.
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Summary
Title: Optimization & A/B Testing Statistics
Price: $29.99
Average Rating: 3.25
Number of Lectures: 21
Number of Published Lectures: 21
Number of Curriculum Items: 21
Number of Published Curriculum Objects: 21
Original Price: $27.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Whether you've got a lean startup or a fat Fortune 500, the faster you learn the faster you'll grow. Optimization and a/b testing is at the heart of learning fast.
I guarantee you will learn something in this course that will raise your skill level. With the 30-day money-back guarantee, you can't lose.
We start with the basics, then cover the 8 steps of running a solid a/b test. Next we dive deep into the statistics behind hypothesis testing. In the long-run you will save your organization headaches by setting up tests correctly and analyzing them with the right statistical rigour.
There is double and triple digit ROI around optimization for companies that figure it out. Start now and impress your colleagues on Monday morning.
Topics include:
Examples of a/b tests
Hypothesis testing
Measurement as risk reduction
Selecting a KPI or success metric
8 Steps for Running an A/B Test
Selecting from amongs a/b test and MVT test designs
Lift Threshold
Null Hypothesis
Statistical significance
Sample size estimates
confidence interval
test statistic
t-tests
standard error of the mean
chi-square
Fischer Exact test
Statistical Power
Type I error
Type II error
p-values
How to choose what statistical test to run
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: What Can It Do?
Lecture 3: A/B Test Examples
Lecture 4: Key Terminology
Lecture 5: Correlation & Causation
Chapter 2: Goals & Test Designs
Lecture 1: Select the KPI
Lecture 2: Multiple KPIs
Lecture 3: Test Designs
Lecture 4: Measurement
Chapter 3: Testing in 8 Steps
Lecture 1: 8 Steps to A/B Testing
Lecture 2: Step 1 In Depth
Lecture 3: Step 2 In Depth
Lecture 4: Step 3 In Depth
Chapter 4: Statistical Tests
Lecture 1: One Sample T-Test
Lecture 2: Two Sample T-Test
Lecture 3: Standard Error & Confidence Intervals
Lecture 4: Select Stat Test (part 1)
Lecture 5: Select Stat Test (part 2)
Lecture 6: Chi Square (part 1)
Lecture 7: Chi Square (part 2)
Chapter 5: Wrap-Up
Lecture 1: Conclusion
Instructors
-
Jared Waxman
The Marketer's Mythbuster: A/B Testing & beyond
Rating Distribution
- 1 stars: 17 votes
- 2 stars: 29 votes
- 3 stars: 61 votes
- 4 stars: 43 votes
- 5 stars: 39 votes
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