The ‘Python for Statistical Analysis’ course delves deep into the practical applications of statistics and data science. The course also teaches how to use Python to solve common and complex statistical and Machine Learning-related projects.

This course is designed to position you for success by diving into the real-world of statistics and data science. The course is usually available for INR 2,699 on Udemy but you can click on the link and get the ‘Python for Statistical Analysis’ for INR 499.

Who all can opt for this course?

  • Data scientists who seek to add statistical analysis to their skill set
  • Data scientists who are interested in machine learning but want to understand more about the statistical underpinnings first
  • Students who need to learn applied statistics for their research, academic assignments, or careers

Course Highlights

Key HighlightsDetails
Registration LinkApply Now!
PriceINR 499 (INR 2,69980% off
Duration08 Hours
Student Enrollment53,658 students
InstructorSamuel Hinton
Topics CoveredStatistical Analysis, Python, Hypothesis Testing, Data Analysis
Course LevelIntermediate
Total Student Reviews2,564

Learning Outcomes

  • Learn about Data Analysis
  • Python can be used to handle simple and complex statistics and machine learning projects
  • How to evaluate and visualise results while integrating graphical exploration and output
  • Study hypothesis testing and effective Python test implementation

Course Content

S.No.Module (Duration)Topics
1.Introduction (33 minutes)Introduction
Learning Paths
Live Install and Verification
Coding Editors
Live Coding Editor Comparison
File Management
2.Exploring Data Analysis (02 hours 16 minutes)Loading Data
Loading Data – Practical Example
Dataset Preparation – Practical Example
Dealing with Outliers – Practical Example
1D Distribution Overview
1D Histograms – Practical Example
1D Bee Swarm – Practical Example
1D Box and Violin – Practical Example
1D Empirical CDF and Pandas Describe – Practical Example
Higher Dimensional Distributions Overview
ND Scatter Matrix – Practical Example
ND Correlation – Practical Example
2D Histograms, Contours and KDE – Practical Example
ND Scatter Probability – Practical Example
Exploratory Data Analysis Summary
3.Characterising (53 minutes)Introduction – Why bother characterising?
Mean Median Mode – Practical Example
Widths – Practical Example
Skewness and Kurtosis – Practical Example
Percentiles – Practical Example
Multivariate Distributions – Practical Example
4.Probability (01 hour 46 minutes)Probability Refresher
Introduction to Probability Distributions
Probability Distributions – Practical Example
Probability Functions and Empirical Distributions
Empirical Distributions – Practical Example
Introduction to Sampling and the Central Limit Theorem
Sampling Distributions – Practical Example
Extra Writeup: More resources on sampling distributions
Central Limit Theorem – Practical Example
5.Hypothesis Testing (01 hour 23 minutes)Introduction to Hypothesis Testing
Motivation Loaded Die – Practical Example
Basic Tests
Basic Tests Example – Asteroid Impacts
Introduction to Proportion Testing
Proportion Testing Example – Election Rigging
Pearsons Chi2 Test – Practical Example
Comparing Distributions – Kolmogorow-Smirnow and Anderson-Darling Tests
Extra Writeup: All the ways to do A/B testing!
6.Conclusion (01 hour 45 minutes)Conclusion
Extra: Significance Hunting – What not to do!
Extra: Introduction to Gaussian Processes
Extra Prac – Cosmic Impact
Extra Prac: Car Emission Standards
Extra Prac: Diagnosing Diabetes
Extra Prac: Numerical Uncertainty on Sales

Resources Required

  • Basics of Python

Featured Review

Carlos Andrés Campo González (5/5) : This is just what I needed and what I was looking for, great!


  • Piotr Wi?ckiewicz (5/5) : This is hands-down the best udemy course I have ever done.
  • Amey Kumar Samala (5/5) : I started off as a no brainer in statistical analysis, but I got a very good understanding of the statistical concepts and python packages by the end.
  • Thomas Ortiz (4/5) : The instructor made very good use of Python coding techniques in the examples.
  • Rafael Paranhos Gouvêa Miranda (5/5) : Great way to be introduced to Statistical Analysis using Jupyter Notebooks.


  • Gaurav Shah (1/5) : The nd-scatter and outliers come of nowhere in middle impossible to understand the flow.
  • Mithlesh Patel (1/5) : Went very fast, no real lofe examples, artificially created datasets only
  • Malgorzata Zurek (2/5) : I will try to go through with the course as maybe it gets better later but for now, I am very disappointed.
  • Vikrant Arora (2/5) : This course has been made unnecessarily complicated, the codes used are too long & complicated and instructor does not explain them in detail.

About the Author

The instructor of this course is Samuel Hinton who is a Astrophysicist, Software Engineer and Presenter. With 4.5 Instructor Rating and 4,362 Reviews on Udemy, Instructor offers 4 Courses and has taught 89,802 Students so far.

  • Samuel Hinton is an astronomer, data scientist, software and robotics engineer, astrophysicist, and public speaker
  • Samuel Hinton is committed to raising the level of coding proficiency in the scientific fields and imparting fundamental coding knowledge to any eager student
  • Samuel Hinton has years of experience from the financial software industry to machine learning pipelines classifying objects in the night sky, as well as teaching experience in statistics, software engineering, data manipulation, computational physics, and much more
  • In addition to his research work, he has led national coding courses on topics suitable for everyone from total beginners to research gurus
  • Samuel Hinton is eager to share his expertise and content with a larger audience, and he believes that his straightforward style of instruction will help students learn the fundamentals more quickly and effectively while also reducing their stress levels

Comparison Table

ParametersPython for Statistical AnalysisPython & Machine Learning for Financial AnalysisPython A-Z™: Python For Data Science With Real Exercises!
OffersINR 499 (INR 2,699) 80% offINR 455 (INR 3,499) 87% offINR 455 (INR 3,499) 87% off
Duration8.5 hours23 hours11 hours
Student Enrollments53,65697,125152,290
InstructorsSamuel HintonDr. Ryan Ahmed, Ph.D., MBAKirill Eremenko
Register HereApply Now!Apply Now!Apply Now!

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