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Fundamental Math for Data Science

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Overview

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Build the mathematical skills you need to work in data science. Includes **Probability**, **Descriptive Statistics**, **Linear Regression**, **Matrix Algebra**, **Calculus**, **Hypothesis Testing**, and more.

Syllabus

  • Welcome to Fundamental Math for Data Science
    • Overview of material in the Fundamental Math for Data Science Skill Path
  • Descriptive Statistics
    • Learn how to summarize quantitative variables categorical variables in Python using numerical summary statistics.
  • Probability
    • Learn the fundamentals of probability by investigating random events.
  • Inferential Statistics
    • Learn about hypothesis testing and implement binomial and one-sample t-tests in Python.
  • Linear Algebra
    • Learn about linear algebra and how to perform operations with matrices and vectors.
  • Differential Calculus
    • Learn about calculus and how to analyze functions using limits and derivatives.
  • Final Problem Set
    • Assess your knowledge with a final problem set.
  • Next Steps
    • Next steps to take in your math and data science journey!

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