Statistics for Data Science using Python

What you'll learn

Understand the fundamentals of statistics
Understand the Stats concepts needed for data science using Python
Distinguish and work with different types of distributions
Calculate the measures of central tendency, asymmetry, and Skewness in Data
Under-stand Hypothesis Testing & its use-cases too
Get hands-on stats
if you do have a math background, you’ll definitely enjoy this fun, hands-on method too.

Requirements

There is no pre-requisite of this course ,we just want dedication.
We will start from the basics and gradually build up your knowledge.

Description

If You want to be a Data Scientist or Data Analyst then brushing up on your statistics skills is something you need to do.

But it's just hard to get started with Data Science in most of the course you will find theoritical knowledge on stats not having practical knowledge

I have explained Each topic in a easiest way as well as its implementation in Python from Scratch (most demanding language of Data Science Industry)

That's exactly why I have created this course for you!

Here you will quickly get the essential stats knowledge for a Data Scientist or Analyst.

I have included real-world use-cases of business challenges to show you how you could apply Stats knowledge to boost your career.

At the same time you can master topics such as Descriptive Stats, distributions, z-test, the Central Limit Theorem, hypothesis testing, & many more!

So what are you waiting for?

Enroll now and & get a transition into Data Science

Who this course is for:

People who want a career in Data Science whether from Technical as well as non-Technical domain
People who want to start learning statistics For Data Science
Anybody who wants to get hands-on experience with stats