Probability and Statistics in Data Science using Python

About Course

  • 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.
Requirements  
  1. Knowledge of Multivariate calculus & Linear algebra 
  2. Python for Data Science

What I will learn?

  • Machine Learning Mathematical Foundation
  • Literacy
Free
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Material Includes

  • Self-paced learning
  • Video tutorials
  • Recognised certification

Course Detail

  • Modules : 13
  • Hours : 10-12hrs/w
  • Level : Intermediate
  • Price : Free

Platform : Edx

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