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skill track

Statistics Fundamentals with Python

Statistical knowledge is key to evaluating, interpreting, and reporting findings from your data. In this skill track, you'll learn the four fundamentals of statistics using Python, including: ✓ Summary statistics and probability ✓ Statistical models such as linear and logistic regression ✓ Techniques for sampling ✓ How to perform hypothesis tests and draw conclusions from a wide variety of data sets By the end of this track, you'll be ready to apply your statistical skills in Python to analyze data, implement and evaluate statistical models, and draw conclusions from hypothesis test results!

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Introduction to Statistics in Python

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

4 hours

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Maggie Matsui

Curriculum Manager at DataCamp