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via Udemy |
Go to Course: https://www.udemy.com/course/ultimate-ab-testing-course-with-python-coding/
Certainly! Here is a comprehensive review and recommendation for the Coursera course titled "Ultimate AB Testing Course with Python Coding": --- **Course Review: Ultimate AB Testing Course with Python Coding** The "Ultimate AB Testing Course with Python Coding" on Coursera is a highly practical and comprehensive introduction to AB testing, designed for aspiring data scientists and professionals seeking to master this essential skill. Led by a former Google data scientist, the course offers a wealth of knowledge through over 70 lessons and 5 hours of engaging video content, complemented by practice questions and bonus material such as mock interview videos and real-world case studies. **What the Course Offers** This course excels in covering all foundational aspects of AB testing, from framing a business problem to interpreting statistical results. Key topics include defining business goals and KPIs, selecting appropriate metrics, formulating hypotheses, designing experiments with correct statistical parameters, and ensuring the validity of results by checking for biases and confounding factors. The hands-on coding component is a major highlight, allowing participants to analyze AB testing data using Python tools like Pandas, Matplotlib, and Statsmodels. This practical approach not only solidifies theoretical concepts but also prepares learners for real-world scenarios, especially in product and data science roles. **Strengths** - Clear, plain English explanations make complex concepts accessible. - Real-world case studies based on major tech companies (FAANG) provide valuable context. - A practical focus with coding exercises helps build tangible skills. - Bonus content for interview preparation enhances the course's value for career advancement. - Designed by industry professionals, offering insights into how top companies approach AB testing. **Recommended Audience** This course is ideal for aspiring data scientists, product managers, analysts, or anyone interested in mastering AB testing. It is particularly valuable for those preparing for technical interviews or seeking to implement rigorous testing frameworks in online platforms. **Final Thoughts** I highly recommend the "Ultimate AB Testing Course with Python Coding" for anyone looking to develop a solid foundation in AB testing with a practical, real-world focus. Whether you are new to data science or looking to refine your skills for career advancement, this course provides the tools and insights necessary to think like a top-tier data scientist. The combination of theory, practical coding, and industry insights makes it a well-rounded choice to enhance your data science toolkit. --- **Takeaway:** If you want to learn AB testing from a seasoned industry expert with a focus on practical skills and career readiness, this course is an excellent investment. Join now and elevate your data science expertise!
Welcome to Ultimate AB Testing Course with Python Coding This is a course that will give you a hands-on experience in AB testing with Python. It's designed to help you think like a data scientist at top companies like Google, Amazon and much more. Taught by a former data scientist at Google, the course contains 70+ lessons and 5 hours of video lectures and practice questions designed to teach you everything you need to know about the foundation of AB testing. Plus, the course contains bonus content including mock interview videos and practice cases based on interview questions seen in actual AB testing rounds.What You Will LearnThe course is packed with core lessons on AB testing including:Framing the Business Problem - how to define the business goal and KPIs of an experiment? Defining the Metrics - What's the set of metrics to consider in an AB test? What about the North Star Metric, Primary Metric, Secondary Metric and Guardrail Metrics?Stating the Business Hypothesis - How do you define the business and statistical hypothesis of an experiment?Designing the Experiment - How do you set the experiment parameters including the significance level, statistical power, sample size and such?Running the Experiment - What's the overview of infrastructure on how experiments run in large online platforms? Checking for Validity - How do you assess whether the experiment result is valid or not? How do you check and address the Novelty Effect, Day of the Week Effect, SUTVA and much more?Running Statistical Inference - What statistical tests do you use to assess the experiment result?Interpret the Result - How do you make sound decisions based on AB testing results?Hands-on Coding - You will get a chance to apply your learning with Python. Analyze a sample AB testing result with Matplotlib and Pandas and analyze results with Statsmodels.How This Course Will Help YouYou will learn the foundation of AB testing based on real-world casesYou will see how a practitioner approaches AB testing problemsYou will get a chance to practice interview cases for product data science rolesThis is a course I wish I had when I became a data scientist in 2016. I am confident that you find this course helpful in learning AB testing. I take the approach of explaining concepts in plain English and giving you illustrations based on actual cases seen in FAANG companies.So, join the course now to become a data science pro.