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Udemy - The Data Science Course 2020 Q2 Updated - Part 1
TORRENT SUMMARY
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Building on the Foundation: Binomial & Normal Distribution, CRISP DM, Anova, Matrices, Coordinate Geometry, Calculus
What you'll learn
You will understand the concept of Binomial Distribution using examples
You will learn more on Continuous Random Variables
You will learn what Normal Distribution is using examples
You will understand the Z table Distribution
You will get clarity on Central Limit Theorem - CLT and how CLT is used.
You will understand what Decision Making is and how it is used
You will learn on CRISP DM Framework
You will learn the concept of Test of Hypothesis- TOH and Statistical methods
You will learn what is Anova- Analysis of variance and its application
You will also learn the basics of Matrices, Coordinate Geometry, Calculus & Algebra
Requirements
No prior experience is required. We will start from the very basics. You will benefit by going through our part 2 course which lays the foundation
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[ FreeCourseWeb.com ] Udemy - The Data Science Course 2020 Q2 Updated - Part 1.zip
