Fundamental Math for Data Science
Build the mathematical skills you need to work in data science.
Includes Probability, Descriptive Statistics, Linear Regression, Matrix Algebra, Calculus, Hypothesis Testing, and more.
Time to complete5 weeks
Certificate of completionYes
About this skill path
Data scientists use math as well as coding to create and understand analytics. Whether you want to understand the language of analytics, produce your own analyses, or even build the skills to do machine learning, this Skill Path targets the fundamental math you will need. Learn probability, statistics, linear algebra, and calculus as they are applied to real-world data analysis!
Skills you'll gain
- Speak the language of data science
- Perform hypothesis tests
- Use code to do mathematics
Syllabus8 units • 16 lessons • 8 projects • 9 quizzes
Welcome to Fundamental Math for Data Science
Overview of material in the Fundamental Math for Data Science Skill Path
Learn the fundamentals of probability by investigating random events.
Learn how to summarize quantitative variables categorical variables in Python using numerical summary statistics.
Learn about hypothesis testing and implement binomial and one-sample t-tests in Python.
Learn about linear algebra and how to perform operations with matrices and vectors.
Learn about calculus and how to analyze functions using limits and derivatives.
Final Problem Set
Assess your knowledge with a final problem set.
Hands-on learningDon't just watch or read about someone else coding — write your own code live in our online, interactive platform. You'll even get AI-driven recommendations on what you need to review to help keep you on track.
Projects in this skill path
Detecting Product Defects with ProbabilityDetermine the number of defective products made at a factory on a given day. Apply concepts from the Poisson distribution, including random variables, the probability mass function, the cumulative distribution function, and expected values.
Sampling Distributions Dance Party!Investigate sampling distributions of Spotify data!
Central Tendency for Housing DataIn this project, you will use your knowledge of mean, median and mode to make conclusions about three boroughs in New York City: Manhattan, New York City, and Queens.
Reviews from learners
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- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
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What's included in skill paths
Practice ProjectsGuided projects that help you solidify the skills and concepts you're learning.
AssessmentsAuto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
Certificate of CompletionEarn a document to prove you've completed a course or path that you can share with your network.
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