Probability and Statistics in Data Science using Python

edX Probability and Statistics in Data Science using Python

Platform
edX
Provider
University of California, San Diego
Effort
10-12 hours/week
Length
10 weeks
Language
English
Credentials
Paid Certificate Available
Course Link
Overview
The job of a data scientist is to glean knowledge from complex and noisy datasets.

Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning.

In this course, part of the Data Science MicroMasters program, you will learn the foundations of probability and statistics. You will learn both the mathematical theory, and get a hands-on experience of applying this theory to actual data using Jupyter notebooks.

Concepts covered included: random variables, dependence, correlation, regression, PCA, entropy and MDL.

What You Will Learn
  • The mathematical foundations for machine learning
  • Statistics literacy: understand the meaning of statements such as “at a 99% confidence level”

Taught by
Alon Orlitsky
Author
edX
Views
653
First release
Last update
Rating
0.00 star(s) 0 ratings
Top