Here are the links to the rendered versions of the course materials:
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Lesson 1 - Getting Into Data
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Lesson 2 - Loading Data
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Lesson 3 - Data Wrangling
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Lesson 4 - Exploratory Data Analysis
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Lesson 5 - Intermediate programming for data science
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Lesson 6 - Introduction to probability and random variables
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Lesson 7 - Fundamental Concepts of Supervised Machine Learning
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Lesson 8 - Overview of Tidy Models for Supervised Machine Learning
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Lesson 9 - Introduction to Statistics for Data Science
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Lesson 10 - Ethical Considerations in Data Science
Assignments for the course are available at this repository.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.