Complete Course on A/B Testing with Interview Guide
Complete Course on A/B Testing with Interview Guide, available at $64.99, has an average rating of 4.44, with 28 lectures, 3 quizzes, based on 858 reviews, and has 4773 subscribers.
You will learn about How companies like Google, Facebook, Amazon use Experimentation to launch successful products Ace Experimentation & A/B Testing interviews A/B Testing, Multivariate Testing & Multi-armed Bandit Testing Hypothesis testing, including inferential statistics, significance level, type I and II errors, p-values, statistical significance and statistical power End to end process from hypothesis generation & design to implementation & analysis Real world examples from Amazon, AirBnb, Square, Uber Relevance of statistics and how each statistical concept fits in the big picture of A/B testing Sample size calculation and test results analysis using R Use experimentation to optimize websites and app Sample size calculation using online calculators Use experimentation to increase conversion on landing pages or in-app campaigns Templates & Cheatsheet to generate, prioritize and analyze A/B tests This course is ideal for individuals who are Analytics or Data Science practitioners who want to master Product Experimentation or A/B Testing or Product Managers interested in learning A/B Testing or If you work in Product Development as a Product Manager, Engineer, Data Scientist or Analyst or If you are looking to be hired in big tech or If you are trying to break into data science or If you are looking to make a career switch into a role in Product Experimentation It is particularly useful for Analytics or Data Science practitioners who want to master Product Experimentation or A/B Testing or Product Managers interested in learning A/B Testing or If you work in Product Development as a Product Manager, Engineer, Data Scientist or Analyst or If you are looking to be hired in big tech or If you are trying to break into data science or If you are looking to make a career switch into a role in Product Experimentation.
Enroll now: Complete Course on A/B Testing with Interview Guide
Summary
Title: Complete Course on A/B Testing with Interview Guide
Price: $64.99
Average Rating: 4.44
Number of Lectures: 28
Number of Quizzes: 3
Number of Published Lectures: 27
Number of Published Quizzes: 3
Number of Curriculum Items: 33
Number of Published Curriculum Objects: 32
Original Price: $84.99
Quality Status: approved
Status: Live
What You Will Learn
- How companies like Google, Facebook, Amazon use Experimentation to launch successful products
- Ace Experimentation & A/B Testing interviews
- A/B Testing, Multivariate Testing & Multi-armed Bandit Testing
- Hypothesis testing, including inferential statistics, significance level, type I and II errors, p-values, statistical significance and statistical power
- End to end process from hypothesis generation & design to implementation & analysis
- Real world examples from Amazon, AirBnb, Square, Uber
- Relevance of statistics and how each statistical concept fits in the big picture of A/B testing
- Sample size calculation and test results analysis using R
- Use experimentation to optimize websites and app
- Sample size calculation using online calculators
- Use experimentation to increase conversion on landing pages or in-app campaigns
- Templates & Cheatsheet to generate, prioritize and analyze A/B tests
Who Should Attend
- Analytics or Data Science practitioners who want to master Product Experimentation or A/B Testing
- Product Managers interested in learning A/B Testing
- If you work in Product Development as a Product Manager, Engineer, Data Scientist or Analyst
- If you are looking to be hired in big tech
- If you are trying to break into data science
- If you are looking to make a career switch into a role in Product Experimentation
Target Audiences
- Analytics or Data Science practitioners who want to master Product Experimentation or A/B Testing
- Product Managers interested in learning A/B Testing
- If you work in Product Development as a Product Manager, Engineer, Data Scientist or Analyst
- If you are looking to be hired in big tech
- If you are trying to break into data science
- If you are looking to make a career switch into a role in Product Experimentation
Have you always wondered how companies like Google, Facebook, Amazon use experimentation and AB Testing to launch successful products?
Do you want to apply online experimentation at your start-up or your current role?
Or maybe you are interviewing for a role in big Tech and wondering how to succeed in those interviews?
With the rise of smartphones, online controlled testing has really come to the forefront. If you do a google search for Experimentation or A/B testing, you will come across thousands of blogs and articles that discuss this topic. Unfortunately, most of them are either full of inaccuracies and misinterpretation of mathematical concepts Or they are too difficult to understand. This is not surprising. A/B testing is a deep area – there are many nuances involved throughout the process from conceptualization & design all the way to implementation & analysis. This course addresses this. I have designed this course to go deep into important statistical concepts but in a way that is easy to understand using everyday examples.
In just two hours, you will learn –
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What product experimentation is and how to do it right
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What is AB Testing, Multivariate Testing and Multi-armed Bandit Testing
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What is the relevance of statistics in AB testing
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What do statistical concepts such as confidence intervals, Type 1, Type 2 errors, p-value, statistical significance and statistical power mean And how do they fit in the big picture
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And how to calculate sample size and duration for a successful AB test
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How to excel in AB testing interviews through real interview questions
All these concepts will be reinforced with real world examples from companies such as Amazon, AirBnb, Square and Uber. I will also provide you with templates and cheat sheets that have really helped me in my career. In 2 hours, you can master product experimentation and immediately start applying it in your job or interviews . See you in the course!
Course Curriculum
Chapter 1: Welcome to the course on Product Experimentation!
Lecture 1: Overview of the course
Chapter 2: Product Experimentation Overview
Lecture 1: Welcome to the section!
Lecture 2: Introduction
Lecture 3: Types of Experiments
Lecture 4: Multi-armed Bandit Testing
Lecture 5: A/B Testing vs Multi-armed Bandit Testing
Lecture 6: Process of Testing
Chapter 3: Statistics & A/B Testing
Lecture 1: Welcome to the section!
Lecture 2: Importance of Statistics in A/B Testing
Lecture 3: Sampling Error
Lecture 4: Confidence Intervals
Lecture 5: Null Hypothesis & Statistical Significance
Lecture 6: Type 1 & Type 2 Errors
Lecture 7: Statistical Significance & p-value
Lecture 8: Statistical Power
Lecture 9: AB Testing Statistics Cheat Sheet
Chapter 4: Sample Size & Duration
Lecture 1: Welcome to the section!
Lecture 2: Sample Size & Duration
Lecture 3: Other Considerations
Chapter 5: Start to Finish Example in R and Interview Preparation Guide
Lecture 1: Welcome to the section!
Lecture 2: Resources for this section
Lecture 3: Decco – Part 1
Lecture 4: Decco – Part 2
Lecture 5: A/B Testing Interview Questions
Lecture 6: Mock A/B Testing Interview – Robinhood
Lecture 7: Mock A/B Testing Interview – Doordash
Lecture 8: Course Completion
Instructors
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Preeti Semwal
Data Science & Analytics Leader
Rating Distribution
- 1 stars: 13 votes
- 2 stars: 15 votes
- 3 stars: 93 votes
- 4 stars: 305 votes
- 5 stars: 432 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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