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Statistics for Data Science with Python

Statistics for Data Science with Python is a beginner-level online course from Coursera in Data Science. It is structured in 9 modules with 4 stated learning outcomes, over 13h 28m. Learners rate it 4.5/5 from 469 ratings on Coursera.

Part of our Data Science courses collection, where we compare it against 15 other courses.

★★★★★4.5(469 reviews) English

Course highlights

Provider Coursera
Duration 13h 28m
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.5★ (469 reviews)
Price Check price Free

What you’ll learn

Write Python code to conduct various statistical tests including a T test, an ANOVA, and regression analysis.
Interpret the results of your statistical analysis after conducting hypothesis testing.
Calculate descriptive statistics and visualization by writing Python code.
Create a final project that demonstrates your understanding of various statistical test using Python and evaluate your peer's projects.

Level and time commitment

Coursera lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.
Time commitment: 13h 28m.
It is self-paced, so that figure is the material, not a fixed schedule.

Skills you’ll gain

Descriptive StatisticsStatistical AnalysisRegression AnalysisStatistical Hypothesis TestingStatistical ModelingStatistical MethodsData ScienceData AnalysisJupyterStatisticsProbability & StatisticsStatistical Programming

What this course covers

9 modules

The 9-part outline Coursera publishes for this course, across 13h 28m.

Module 1 · Course Introduction and Python Basics
Module 2 · Introduction & Descriptive Statistics
Module 3 · Data Visualization
Module 4 · Introduction to Probability Distributions
Module 5 · Hypothesis testing
Module 6 · Regression Analysis
Module 7 · Project Case: Boston Housing Data
Module 8 · Final Exam
Module 9 · Other Resources

What learners rate it

4.5
★★★★★
469 ratings

Rated 4.5/5 by 469 learners on Coursera (checked 25 Aug 2026).

This rating is collected by Coursera from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Coursera →

How this page is put together

Compiled by the 10courses editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Coursera course pages — we never estimate a price or a rating. Last verified 25 August 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

Compare with alternatives

Same topic, different trade-offs — here's who runs each one and what it's best at.

Course Provider Rating Price Duration Why pick this one
Statistics for Data Science with Python This Coursera 4.5★ Check price 13h 28m Quickest to finish (13h 28m)
Google Data Analytics Professional Certificate Coursera 4.8★ ₹3,999 6 months Highest rated (4.8★ from 181.6K reviews)
Deep Learning Specialization Coursera 4.8★ ₹4,299 3 months For learners past the basics · 3 months
Python for Data Science | Learn Python Online | Udacity Udacity 4.8★ Check price 3 months Beginner-friendly · 3 months
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Where Data Science leads

Roles we map to Data Science on 10courses. This is our own mapping of subject to job, not a placement claim by Coursera.

Data Scientist

Browse every course we track for one of these — courses for data scientists.

Common questions

How much does Statistics for Data Science with Python cost?

Coursera does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.

Does Statistics for Data Science with Python come with a certificate?

Yes — Coursera lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

How long does Statistics for Data Science with Python take?

Coursera lists it at 13h 28m. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.

Is Statistics for Data Science with Python suitable for beginners?

Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.

What does Statistics for Data Science with Python cover?

It is organised into 9 modules, starting with Course Introduction and Python Basics and going on to Introduction & Descriptive Statistics, Data Visualization, Introduction to Probability Distributions, Hypothesis testing, among others. The full outline is on this page.