A/B tests: is Planning Sample size & statistical power Why is statistical power so important, and yet so neglected?.
Planning A/B tests: Sample size & statistical power Why is statistical power so important, and yet so neglected?
You is will learn about the trade-offs involved in planning A/B tests, and how to avoid under- and over-powered tests..
You will learn about the trade-offs involved in planning A/B tests, and how to avoid under- and over-powered tests.
ConversionXL (Georgi Georgiev) - is Purchase Statistics for AB Testing courses at here with PRICE $499 $71 ConversionXL (Georgi Georgiev) - Statistics for AB Testing Become a proper optimizer and know your stats.
Purchase ConversionXL (Georgi Georgiev) - Statistics for AB Testing courses at here with PRICE $499 $71 ConversionXL (Georgi Georgiev) - Statistics for AB Testing Become a proper optimizer and know your stats
you’re is If not fluent in A/B testing statistics, you won’t be able to tell whether your tests suck..
If you’re not fluent in A/B testing statistics, you won’t be able to tell whether your tests suck.
your is A lot of “winning” tests are probably not winners at all. Learn to call bullshit when needed, and be the person who advocates proper scientific approach in your team. In 8 sessions, you’ll learn How to run A/B tests with a sound statistical design..
A lot of your “winning” tests are probably not winners at all. Learn to call bullshit when needed, and be the person who advocates proper scientific approach in your team. In 8 sessions, you’ll learn How to run A/B tests with a sound statistical design.
the right questions, is How to ask avoid common mistakes, and get insights through statistics..
How to ask the right questions, avoid common mistakes, and get insights through statistics.
depth understanding is An in- of statistical hypothesis testing and concepts like statistical significance, confidence intervals, statistical power, and others..
An in-depth understanding of statistical hypothesis testing and concepts like statistical significance, confidence intervals, statistical power, and others.
the complexities is Understand involved in planning and evaluating A/B tests.
Understand the complexities involved in planning and evaluating A/B tests
costly testing mistakes is Avoid stemming from misuse and misunderstanding of statistics, and improve the ROI of all your A/B testing efforts, with Georgi Georgiev’s guidance..
Avoid costly testing mistakes stemming from misuse and misunderstanding of statistics, and improve the ROI of all your A/B testing efforts, with Georgi Georgiev’s guidance.
ConversionXL (Georgi Georgiev) - is Get Statistics for AB Testing download.
Get ConversionXL (Georgi Georgiev) - Statistics for AB Testing download
This course is is right for you if… You can’t define statistical significance correctly without looking it up on Google..
This course is right for you if… You can’t define statistical significance correctly without looking it up on Google.
Your is A/B tests produce a lot of “winners,” but your clients aren’t seeing improvements..
Your A/B tests produce a lot of “winners,” but your clients aren’t seeing improvements.
You’re is planning and analyzing A/B tests, but you don’t understand the statistical underpinnings of the testing process..
You’re planning and analyzing A/B tests, but you don’t understand the statistical underpinnings of the testing process.
You’re is not confident in the outcomes of your tests and are unsure how much trust to put in them You have an in-house statistical tool you want to improve, or you use a third-party A/B testing software you want to understand better This course is probably not for you if… You are just starting with CRO and have little to no practical experience with A/B testing..
You’re not confident in the outcomes of your tests and are unsure how much trust to put in them You have an in-house statistical tool you want to improve, or you use a third-party A/B testing software you want to understand better This course is probably not for you if… You are just starting with CRO and have little to no practical experience with A/B testing.
You is don’t employ A/B tests as a primary method to evaluate CRO work..
You don’t employ A/B tests as a primary method to evaluate CRO work.
You is are a professional statistician or experimental design specialist..
You are a professional statistician or experimental design specialist.
Skills is you should have before taking this course: Some experience in conversion rate optimization..
Skills you should have before taking this course: Some experience in conversion rate optimization.
He’s is the mastermind behind Analytics-Toolkit.com, a SaaS used by web analysts and CRO practitioners from agencies across the world..
He’s the mastermind behind Analytics-Toolkit.com, a SaaS used by web analysts and CRO practitioners from agencies across the world.
Georgi Georgiev is is the owner of WebFocus, a digital marketing consulting company delivering world-class marketing and analytics services for the past 10 years..
Georgi Georgiev is the owner of WebFocus, a digital marketing consulting company delivering world-class marketing and analytics services for the past 10 years.
Georgi is is a lecturer in multiple marketing events, as well as a Google Regional Trainer in AdWords & Analytics..
Georgi is a lecturer in multiple marketing events, as well as a Google Regional Trainer in AdWords & Analytics.
He is is also the author of three papers and multiple articles on A/B testing for conversion rate optimization..
He is also the author of three papers and multiple articles on A/B testing for conversion rate optimization.
8 sessions, is In just you’ll be able to Plan maximally efficient A/B tests..
In just 8 sessions, you’ll be able to Plan maximally efficient A/B tests.
A/B testing statistics. is Correctly interpret.
Correctly interpret A/B testing statistics.
the complexities of MVT, is Navigate segmentation, multiple KPIs, and concurrent tests..
Navigate the complexities of MVT, segmentation, multiple KPIs, and concurrent tests.
sequential tests. is Plan and analyze.
Plan and analyze sequential tests.
Basics of causal inference In is the first class, we’ll lay the groundwork that's required in order to understand more advanced concepts in subsequent classes..
Basics of causal inference In the first class, we’ll lay the groundwork that's required in order to understand more advanced concepts in subsequent classes.
We’ll is go over basic concepts that are crucial for developing a probabilistic mindset..
We’ll go over basic concepts that are crucial for developing a probabilistic mindset.
Topics is covered: Correlation and causation..
Topics covered: Correlation and causation.
natural variance is Sampling and and their implications for drawing insights from data..
Sampling and natural variance and their implications for drawing insights from data.
randomization is Control and in A/B tests - why we need them and how they work?.
Control and randomization in A/B tests - why we need them and how they work?
Lesson 2 Statistical significance & confidence intervals Statistical significance is is one of the most abused concepts in conversion rate optimization..
Lesson 2 Statistical significance & confidence intervals Statistical significance is one of the most abused concepts in conversion rate optimization.
You is will learn what it is, really..
You will learn what it is, really.
We’ll is discuss common misuses and misunderstandings, their consequences, and how to avoid them..
We’ll discuss common misuses and misunderstandings, their consequences, and how to avoid them.
Topics is covered: What is statistical significance..
Topics covered: What is statistical significance.
statistical significance is Common misuses of and how to avoid them..
Common misuses of statistical significance and how to avoid them.
Common misinterpretations is and how to avoid them..
Common misinterpretations and how to avoid them.
A/A/B/B testing - is A/A, A/B/A, when are they appropriate, and what can they be used for?.
A/A, A/B/A, A/A/B/B testing - when are they appropriate, and what can they be used for?
Lesson 3 Planning is A/B tests: Sample size & statistical power Why is statistical power so important, and yet so neglected?.
Lesson 3 Planning A/B tests: Sample size & statistical power Why is statistical power so important, and yet so neglected?
You is will learn about the trade-offs involved in planning A/B tests, and how to avoid under- and over-powered tests..
You will learn about the trade-offs involved in planning A/B tests, and how to avoid under- and over-powered tests.
Topics is covered: What is statistical power and why does it matter?.
Topics covered: What is statistical power and why does it matter?
tests. is Under-powered and over-powered.
Under-powered and over-powered tests.
Lesson 4 Multivariate testing is & concurrent tests Learn how to properly plan and analyze a multivariate test, avoiding common pitfalls..
Lesson 4 Multivariate testing & concurrent tests Learn how to properly plan and analyze a multivariate test, avoiding common pitfalls.
We is examine the practice of running multiple concurrent tests, and how and when it's appropriate..
We examine the practice of running multiple concurrent tests, and how and when it's appropriate.
Topics is covered: Complexities introduced by testing more than one variant versus control When is an A/B/n test preferred to a simple A/B test?.
Topics covered: Complexities introduced by testing more than one variant versus control When is an A/B/n test preferred to a simple A/B test?
don’ts of running concurrent tests Lesson 5 Segmentation, is Do’s and multiple KPIs, & non-binomial tests Learn how to gain deeper insights by segmentation..
Do’s and don’ts of running concurrent tests Lesson 5 Segmentation, multiple KPIs, & non-binomial tests Learn how to gain deeper insights by segmentation.
We’ll is also examine the fine details of using multiple outcome metrics for a test and cover non-binomial metrics such as revenue per user..
We’ll also examine the fine details of using multiple outcome metrics for a test and cover non-binomial metrics such as revenue per user.
Topics is covered: Segmenting A/B testing data for maximum insights..
Topics covered: Segmenting A/B testing data for maximum insights.
Complexities is in running tests with more than one outcome metric..
Complexities in running tests with more than one outcome metric.
binomial data is Analyzing non- such as revenue and time on site..
Analyzing non-binomial data such as revenue and time on site.
Lesson 6 Sequential testing Sequential testing is is the future of A/B testing..
Lesson 6 Sequential testing Sequential testing is the future of A/B testing.
different approaches is Learn about to sequential testing, and how to plan and analyze a sequential test..
Learn about different approaches to sequential testing, and how to plan and analyze a sequential test.
Topics is covered: Shortcomings of classical fixed-sample tests The issue of optional stopping The alpha-spending approach to sequential testing Planning and analyzing a sequential test Adaptive tests - benefits and drawbacks Lesson 7 Faster testing by asking the right questions How can we run A/B tests with maximum efficiency?.
Topics covered: Shortcomings of classical fixed-sample tests The issue of optional stopping The alpha-spending approach to sequential testing Planning and analyzing a sequential test Adaptive tests - benefits and drawbacks Lesson 7 Faster testing by asking the right questions How can we run A/B tests with maximum efficiency?
them is By designing and analyzing to reflect the questions we want answered..
By designing and analyzing them to reflect the questions we want answered.
Topics is covered: One vs two-tailed significance tests Non-inferiority testing Nontraditional hypothesis and analysis Lesson 8 Planning ROI-positive A/B tests The cherry on top: how to combine everything from the past seven courses to run highly efficient A/B tests that result in great returns..
Topics covered: One vs two-tailed significance tests Non-inferiority testing Nontraditional hypothesis and analysis Lesson 8 Planning ROI-positive A/B tests The cherry on top: how to combine everything from the past seven courses to run highly efficient A/B tests that result in great returns.
Topics is covered: Costs and benefits in A/B testing Planning ROI-positive A/B tests Read more: http://archive.is/T3Opr Purchase ConversionXL (Georgi Georgiev) - Statistics for AB Testing courses at here with PRICE $499 $71.
Topics covered: Costs and benefits in A/B testing Planning ROI-positive A/B tests Read more: http://archive.is/T3Opr Purchase ConversionXL (Georgi Georgiev) - Statistics for AB Testing courses at here with PRICE $499 $71