YoVDO

Probability and Statistics in Data Science using Python

Offered By: University of California, San Diego via edX

Tags

Data Science Courses Statistics & Probability Courses Jupyter Notebooks Courses Probability Courses Entropy Courses Correlation Courses

Course Description

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.


Taught by

Alon Orlitsky

Tags

Related Courses

Statistical Molecular Thermodynamics
University of Minnesota via Coursera
Thermodynamics
Indian Institute of Technology Bombay via edX
Introduzione alla fisica sperimentale: meccanica, termodinamica
Politecnico di Milano via Polimi OPEN KNOWLEDGE
Statistical Thermodynamics: Molecules to Machines
Carnegie Mellon University via Coursera
Engineering Thermodynamics
Indian Institute of Technology Kanpur via Swayam