Classical Statistical Inference and A/B Testing in Python

The Most-Used and Practical Data Science Techniques in the Real-World

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Course Data

Lectures: 28
Length: 3h 34m
Skill Level: All Levels
Languages: English
Includes: Lifetime access, certificate of completion (shareable on LinkedIn, Facebook, and Twitter), Q&A forum

Course Description

The premise of this course is quite simple.

I asked myself: What is the most practical data science technique?

What do I use in the real-world most often?

Methods like neural networks and recommender systems are pretty application-specific, but statistical inference can be used for nearly everything.

  • Website owners: which web page design leads to the highest engagement or revenue?
  • Copywriters: which sales copy leads to the highest conversion rate?
  • Online advertising platforms: which ads lead to the highest click-through rate?
  • Clinical researchers and drug testers: which treatments, drugs, or therapies work best?
  • Machine learning engineers and data scientists: which models have the best performance?

This course has 3 main parts:

  • Maximum likelihood estimation review
  • Confidence intervals
  • Hypothesis testing

Each section prepares you for the next section, to yield maximum understanding and intuition.

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