skill PathFundamental Math for Data Science
Learn the mathematical framework necessary to pursue advanced technical data science work. In this Skill Path, you will learn the fundamental probability, statistics, linear algebra, and calculus skills.
Includes
Probability, Descriptive Statistics, Linear Regression, Matrix Algebra, Calculus, Hypothesis Testing, and more...
Experience
Beginners welcome
For those who want to
- Improve your ability to think through and solve more complex problems.
- Build the mathematical foundation necessary to pursue technical work.
- Better prepare for more advanced data science material.
Earn
Certificate of Completion
What will you be able to do?
Here are just a few things you’ll be able to do with this skill.
What will you be able to do?
Here are just a few things you’ll be able to do with this skill.
QUANTIFY UNCERTAINTY
Learn the rules of probability to help you quantify uncertainty in a dataset.
APPLY MATH TO PROBLEMS
Represent data science problems with matrix algebra.
OPTIMIZE MODELS
Optimize data science problems using differential calculus.
You really feel like there's nothing you can't learn, which in turn builds so much confidence in your skills and gives the momentum to keep learning.
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