Binomial, Normal Distribution, Matrices for Data Science

Building on the Foundation: Binomial & Normal Distribution, CRISP DM, Anova, Matrices, Coordinate Geometry
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Udemy
platform
English
language
Other
category
Binomial, Normal Distribution, Matrices for Data Science
46,441
students
16.5 hours
content
Nov 2020
last update
$19.99
regular price

What you will 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

Screenshots

Binomial, Normal Distribution, Matrices for Data Science - Screenshot_01Binomial, Normal Distribution, Matrices for Data Science - Screenshot_02Binomial, Normal Distribution, Matrices for Data Science - Screenshot_03Binomial, Normal Distribution, Matrices for Data Science - Screenshot_04
Related Topics
3157052
udemy ID
5/22/2020
course created date
6/7/2020
course indexed date
Lee Jia Cheng
course submited by