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Statistics Fundamentals with Python

Statistical knowledge is key to evaluating, interpreting, and reporting findings from your data. With these courses, you will learn to confidently evaluate statistical models, simulate data, and draw conclusions from a wide variety of data sets.

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1
Python
Statistical Thinking in Python (Part 1)

Build the foundation you need to think statistically and to speak the language of your data.

3 hours

Justin Bois Headshot

Justin Bois

Lecturer at the California Institute of Technology

2
Python
Statistical Thinking in Python (Part 2)

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

4 hours

Justin Bois Headshot

Justin Bois

Lecturer at the California Institute of Technology

3
Python
Introduction to Linear Modeling in Python

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

4 hours

Jason Vestuto Headshot

Jason Vestuto

Data Scientist, University of Texas at Austin

4
Python
Statistical Simulation in Python

Learn to solve increasingly complex problems using simulations to generate and analyze data.

4 hours

Tushar Shanker Headshot

Tushar Shanker

Data Science Manager at Uber

5
Python
Case Studies in Statistical Thinking

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

4 hours

Justin Bois Headshot

Justin Bois

Lecturer at the California Institute of Technology

6
Python
Statistics Fundamentals with Python

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