A/B Testing in Python
Master A/B Testing in Python: Drive business growth and improve user experience with data-driven decisions
$99.00
Lifetime access
What you get:
- 3 hours of content
- 9 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
A/B Testing in Python
$99.00
Lifetime access
What you get:
- 3 hours of content
- 9 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
$99.00
Lifetime access
$99.00
Lifetime access
What you get:
- 3 hours of content
- 9 Downloadable resources
- World-class instructor
- Closed captions
- Q&A support
- Future course updates
- Course exam
- Certificate of achievement
What You Learn
- Master A/B testing concepts and their technical applications under the guidance of a proven industry expert
- Gain the ability to define, start, analyse, and measure the success of A/B tests
- Learn how to effectively run multiple A/B tests at the same time to iterate faster
- Acquire valuable experiment design know-how for digital products
- Excel in A/B testing data science interviews and launch a successful career in data science
- Boost your career prospects by mastering A/B testing, a highly in-demand technical skill
Top Choice of Leading Companies Worldwide
Industry leaders and professionals globally rely on this top-rated course to enhance their skills.
Course Description
The A/B Testing in Python course gives you a rare opportunity to learn a skill that’s invaluable to all data scientists. Your instructor, Anastasia Kuznetsova, is a proven expert who works in one of the largest music streaming platforms in the world. In this course, she touches on several practical examples that not only allow you to learn the mechanics of A/B testing but also reinforce your understanding of how these concepts are applied in a real-life working environment.
Learn for Free
1.1 Welcome to the course: meet your instructor
4 min
1.2 What is A/B testing and why is it so important?
9 min
1.3 The key characteristics of an A/B test
4 min
1.4 How to create an A/B test? Who does it?
3 min
1.5 How to know if an A/B test was successful? Defining KPIs and metrics
8 min
1.6 Calculation of metrics in practice: Kittengram
3 min
Interactive Exercises
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Curriculum
- 2. Setting up and executing A/B tests in practice11 Lessons 101 Min
In this part of the course, we will go through a complete practical example that shows you how a fictional company called Kittengram can benefit of A/B testing and which are some of the metrics they will use to monitor business performance.
Data instrumentation and tracking9 minHow to calculate metrics from raw datasets13 minDesigning the experiment12 minHow to set up the A/B test7 minWhat is statistical significance?8 minCalculating the sample size of an A/B test13 minExample of significance power calculator4 minA/B test - start & analysis7 minHow to present the results of an A/B test8 minA/B test analysis process11 minComparing the activity between the groups9 min - 3. Advanced A/B testing considerations and interview prep2 Lessons 16 Min
This section covers some important considerations on advanced A/B testing situations such as how to run multiple A/B tests simultaneously and how to ensure your A/B test is ethical from a user privacy perspective.
Advanced A/B testing considerations11 minHow to A/B test ethically5 min - 4. Interview preparation7 Lessons 25 Min
The course instructor will share with you how to pass successfully the A/B test part of the data science interview. This section will prove invaluable to those of you who are looking for their first job in the field of data science.
Introduction1 minQuestion 13 minQuestion 22 minQuestion 34 minQuestion 44 minQuestion 53 minHow to prepare for the interview8 min - 5. Conclusion1 Lesson 4 Min
A final lecture to congratulate you on the progress you have made and recommend the next steps on your journey to become a data scientist.
Conclusion4 min
Topics
Course Requirements
- Highly recommended to take the Statistics and Intro to Python courses first
- You will need to install the Anaconda package, which includes Jupyter Notebook
Who Should Take This Course?
Level of difficulty: Beginner
- Aspiring data analysts and data scientists
- Current data analysts and data scientists who are passionate about growth and want to boost their A/B testing skills
- Business owners and startup founders
Exams and Certification
A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.
Meet Your Instructor
Anastasia is an experienced data scientist who has worked in tech, banking, game development, and research. In one of her prior jobs, she helped improve player experience through A/B testing for popular games like Candy Crush Saga. She has earned two Master’s degrees in Business Intelligence and Computer Science. One of her passions is sharing career-related knowledge with other people interested in the data science field. If you haven’t done it already, you should definitely take a look at Anastasia K’s popular YouTube channel which has over 35k subscribers.
What Our Learners Say
365 Data Science Is Featured at
Our top-rated courses are trusted by business worldwide.
