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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