Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.
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What you need before starting this Probability and Statistics in Data Science using Python course:
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This course is designed for absolute beginners. No prior knowledge needed.
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Everything you need to know about this online course, from duration to certification
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.
Difficulty Level
Advanced
Prior experience recommended
Subject Category
Data Analysis & Statistics, Math, Computer Science
Part of our Data Analysis & Statistics, Math, Computer Science curriculum
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Comprehensive Program
Professional training from $350
Pricing may vary. Check the course provider for current promotions and exact pricing.
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