Statistics for Data Science using Python

Data Science

Expected learning & outcomes

  • 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.

Course details

Topic: Statistics

Duration: 10 hours

Level: Any Level

Certification: Available

Created by: Shan Singh

Language: English

Provider: Udemy

About this course

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
2020-10-05 12:25:15+00:00
4.6 (16 ratings)