Data Driven Development: A/B Testing for Product Engineers
Data Driven Development: A/B Testing for Product Engineers, available at $74.99, has an average rating of 4.55, with 95 lectures, 1 quizzes, based on 16 reviews, and has 140 subscribers.
You will learn about What A/B tests are and how to use them Build an A/B testing tool from scratch Learn how to implement A/B tests on your website How to find things to test on your site Learn the math and statistics used in A/B testing How to choose the right metric for your A/B test A/B testing best practices How to interpret the results of A/B tests Gotchas and things to watch out for when A/B Testing This course is ideal for individuals who are This class is for intermediate programmers and web designers. It is particularly useful for This class is for intermediate programmers and web designers.
Enroll now: Data Driven Development: A/B Testing for Product Engineers
Summary
Title: Data Driven Development: A/B Testing for Product Engineers
Price: $74.99
Average Rating: 4.55
Number of Lectures: 95
Number of Quizzes: 1
Number of Published Lectures: 95
Number of Published Quizzes: 1
Number of Curriculum Items: 96
Number of Published Curriculum Objects: 96
Original Price: $24.99
Quality Status: approved
Status: Live
What You Will Learn
- What A/B tests are and how to use them
- Build an A/B testing tool from scratch
- Learn how to implement A/B tests on your website
- How to find things to test on your site
- Learn the math and statistics used in A/B testing
- How to choose the right metric for your A/B test
- A/B testing best practices
- How to interpret the results of A/B tests
- Gotchas and things to watch out for when A/B Testing
Who Should Attend
- This class is for intermediate programmers and web designers.
Target Audiences
- This class is for intermediate programmers and web designers.
How do you know if your website’s interface is leading to the best outcomes for your key performance metrics? What if you’re leaving money on the table?
By adding A/B testing to your development process, you can be absolutely sure that every element on the page is performing at its peak.
With A/B testing you can have the freedom to take big swings at major design changes, without fear of hurting your key performance metrics. Lower your risk and increase your rewards by limiting your exposure through A/B testing.
In this class you’ll learn the foundations of A/B testing by building a basic system and using it to implement the real tests that I’ve had the biggest successes with over the years. Learn how we did the analysis that told us what to test all the way through the coding patterns and best practices that I’ve developed after years of working with these systems.
Using the techniques you’ll learn in this class, you’ll be able to quantify the value of your work — down to a dollar level — and improve the efficiency of the traffic your site already has.
For developers who are ready to take their career to the next level, this is the way to get there.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Who This Class Is For
Lecture 3: Data Driven Development
Lecture 4: Confident Choices
Lecture 5: The 80/20 Rule of A/B Testing
Lecture 6: What to Test
Lecture 7: Types of A/B Tests
Chapter 2: Your First A/B Test
Lecture 1: Intro To The Store
Lecture 2: Dev Environment Setup
Lecture 3: Redux Crash Course
Lecture 4: React Router Crash Course
Lecture 5: The First A/B Test
Chapter 3: Building an A/B Testing System
Lecture 1: Creating Our Server
Lecture 2: Enabling Post Requests
Lecture 3: Saving Events
Lecture 4: Passing Data with Events
Lecture 5: Counting Purchases and Getting Data
Lecture 6: Getting Results
Lecture 7: Statistical Significance
Lecture 8: Running the Chi2 Test Manually
Lecture 9: Adding a StatSig Library
Lecture 10: Experiment Names
Lecture 11: Quick Review
Lecture 12: Setting Up Experiments
Lecture 13: Setting Up Variations
Lecture 14: Running Experiments
Lecture 15: Experiment Activation
Lecture 16: Targeting
Lecture 17: Experiment Organization
Chapter 4: The Add to Cart Modal Test
Lecture 1: Iteration
Lecture 2: Setting up the Test
Lecture 3: Scaffolding the Modal
Lecture 4: Recommendations
Lecture 5: Styling the Modal
Lecture 6: Closing the Modal
Lecture 7: Setting Up the Test
Lecture 8: Choosing the Right Metric
Lecture 9: Interpreting the Results
Chapter 5: The Long Gallery Test
Lecture 1: Behavioral Analysis …in Python
Lecture 2: The Long Gallery Test
Lecture 3: Test Setup Best Practices
Lecture 4: The Long Gallery Setup
Lecture 5: Adjusting the Page Structure
Lecture 6: Review
Chapter 6: The Checkout Success Test
Lecture 1: No Dead Ends!
Lecture 2: The Checkout Success Test
Lecture 3: Setting Up Our Metric
Lecture 4: Scaffolding Our Test
Lecture 5: The Data Decides
Lecture 6: The Vote Card
Lecture 7: Styling the Vote Card
Lecture 8: The Data File
Lecture 9: Last Step and Review
Chapter 7: Challenges
Lecture 1: Best Reviews Challenge
Lecture 2: Best Reviews Solution
Lecture 3: Product Name Challenge
Lecture 4: Product Name Solution
Lecture 5: Mouse Over Challenge
Lecture 6: Mouse Over Solution
Lecture 7: Only A Few Left Challenge
Lecture 8: Only a Few Left Solution
Chapter 8: Wrap Up
Lecture 1: Wrap Up
Chapter 9: Appendix: How I Made the Demo Store
Lecture 1: Store 01
Lecture 2: Store 02
Lecture 3: Store 03
Lecture 4: Store 04
Lecture 5: Store 05
Lecture 6: Store 06
Lecture 7: Store 07
Lecture 8: Store 08
Lecture 9: Store 09
Lecture 10: Store 10
Lecture 11: Store 11
Lecture 12: Store 12
Lecture 13: Store 13
Lecture 14: Store 14
Lecture 15: Store 15
Lecture 16: Store 16
Lecture 17: Store 17
Lecture 18: Store 18
Lecture 19: Store 19
Lecture 20: Store 20
Lecture 21: Store 21
Lecture 22: Store 22
Lecture 23: Store 23
Lecture 24: Store 24
Lecture 25: Store 25
Lecture 26: Store 26
Lecture 27: Store 27
Lecture 28: Store 28
Instructors
-
Seamus James
Developer in San Francisco
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 4 votes
- 5 stars: 11 votes
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