Data Science Essentials - Crash Course in A/B Testing with Case Study

In this applied Data Science Crash Course, we cover everything you need to know about A/B testing, from the concepts to the practical details they can apply in business. The course merges in-depth statistical analysis (think hypothesis testing, significance levels, and the nitty-gritty of pooled estimates, test statistics, p-values, and assessing statistical significance) with the kind of data science theories big tech firms rely on, all alongside practical Python tutorials for real-world test implementation. Plus, there's a real-life case study thrown in to help you understand the concepts more.
✏️ Course created by Tatev Karen Aslanyan.
More from Tatev here: lunartech.ai/
⭐️ Contents ⭐️
⌨️ (0:00:00) Video Introduction
⌨️ (0:03:49) Introduction to Data Science and A/B Testing
⌨️ (0:05:38) Basics of A/B Testing in Data Science
⌨️ (0:07:06) Key Parameters of A/B Testing for Data Scientists
⌨️ (0:09:24) Formulating Hypotheses and Identifying Primary Metrics in Data Science A/B Testing
⌨️ (0:19:55) Designing an A/B Test: Data Science Approach
⌨️ (0:37:56) Resources for A/B Testing in Data Science
⌨️ (0:39:22) Analyzing A/B Test Results in Python: Data Science Techniques
⌨️ (1:01:00) Data Science Portfolio Project: Case Study with AB Testing
⌨️ (1:04:38) Reintroduction to A/B Testing in the Data Science Process
⌨️ (1:21:07) Data Science Techniques: Loading Data with Pandas for A/B Testing
⌨️ (1:29:19) Data Science Visualization: Using Matplotlib and Seaborn for A/B Test Click Data
⌨️ (1:38:38) Data Science Power Analysis: Understanding A/B Test Model Parameters
⌨️ (1:44:25) Data Science Calculations: Pooled Estimates and Variance for A/B Testing
⌨️ (2:06:48) Computing A/B Test P-Values: Data Science Methods for Statistical Significance
⌨️ (2:12:42) Practical Significance in A/B Testing: A Data Science Perspective
⌨️ (2:29:07) Conclusion: Wrapping Up A/B Testing in Data Science
🎉 Thanks to our Champion and Sponsor supporters:
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👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama
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[@restlesscrow4680]

perfect timing! Im working on a Stats Machine Learning project right now, hah.

[@rachitsingh4913]

Now this is what i was looking for❤️ thankyouuuu

[@julianvelez6563]

Awesome work ❤❤

[@brandon_wallace]

Excellent video.

[@ronak5392]

Can you provide CSV File and Colab Notebook?

[@geraldjunior4235]

(Confirm on essential)

[@museumofplaylists]

Data is the new oil.

[@virat0650]

Hi sir fan your teaching in app development

[@coff3andprograming]

Seria genial que implementen una app con django y ciencia de datos ❤

[@ojasvisingh786]

👏👏

[@cosmicsoftae]

Can someone please let me know if someone new to Python can also learn this course? Do we have any prerequisites?

[@LunarTech_ai]

Hi there, in this Course basic Python is a prerequisite - please check of our "Python for Beginners" free UA-cam course

[@GoatzAreEpic]

I wouldn't say AB testing is advanced statistics. more like introductory

[@Buy_YT_Views.447]

the best content creator for me so far.

[@pawanhamal1]

I change the world with iphone 6 from nepal

[@ThanQRadu]

What a beautiful golden-ratio-based face :)
Glory to the Creator.
heliwave