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Statistics for Data Science

  • A course from scratch providing a thorough grounding in essential statistical concepts,
    tailored specifically for aspiring data scientists. A blend of theoretical instruction with
    practical application, utilizing real-world data sets for hands-on learning.

Created by Selva Prabhakaran

  • 14 Video Lessons

  • English

  • English captions

What you will learn


Fundamental Principles of Statistics


Data Collection and Analysis Techniques


Application of Descriptive and Inferential Statistics


Hypothesis Testing and Regression Analysis


Hands on reproducible Python Codes


No prior knowledge of statisctics needed

Course Curriculum


  • Courses Page1 Basics of Python
  • Courses Page1 Foundational knowledge of Data Science
  • Courses Page1 High school maths

Who should attend this course?

  • Data Science Aspirants

  • Data Science Professionals

  • Software/Data engineers interested in quantitative analysis

  • Professionals working with large datasets

  • Data analysts, economists, researchers


Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

  • 4.5+Instructor rating

  • 200+ reviews

  • 75K+students

  • 50+ Courses

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