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Python for Data Analytics - Beginner to Advanced

Learn Python for Data Analytics. Learn how to analyze and visualize different data types and do projects with them.

Python for Data Analytics - Beginner to Advanced is a beginner-level online course from Udemy in Data Analytics. It is structured in 13 modules with 5 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 3.6/5 from 369 ratings on Udemy, with 22.5K enrolled.

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

★★★★☆3.6(369 reviews) 22.5K learners English

Course highlights

Provider Udemy
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 3.6★ (369 reviews)
Learners 22.5K
Price Free Free

What you’ll learn

Learn how to analyze data
Learn how to do a data analysis project
Learn how to visualize data
Learn (or repeat) the basics of statistics and python
Learn the analysis of time series data

Level and time commitment

Udemy lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.

Skills you’ll gain

Thing

What this course covers

13 modules

The 13-part outline Udemy publishes for this course.

Module 1 · Helpful statistics concepts (optional)
Module 2 · Introduction to Coding
Module 3 · Pandas for Data Analysis
Module 4 · Time Series Analysis
Module 5 · Numpy
Module 6 · Matplotlib
Module 7 · Seaborn
Module 8 · Project 1
Module 9 · Project 2
Module 10 · Project 3
Module 11 · Project 4
Module 12 · How to build a project by yourself and share it
Module 13 · Bonus Section

What learners rate it

3.6
★★★★☆
369 ratings

Rated 3.6/5 by 369 learners on Udemy (checked 25 Aug 2026).

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

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 Udemy 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
Python for Data Analytics - Beginner to Advanced This Udemy 3.6★ Free Free — and still gives a certificate
Introduction to Data Analytics Coursera 4.8★ Check price 11h 38m Highest rated (4.8★ from 20.8K reviews)
AWS Cloud Practitioner Essentials Coursera 4.8★ Check price 35h 48m Beginner-friendly · 35h 48m
ChatGPT Advanced Data Analysis Coursera 4.8★ Check price 10h 52m Quickest to finish (10h 52m)
See all Data Analytics courses →

Where Data Analytics leads

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

Data Analyst

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

Common questions

Is Python for Data Analytics - Beginner to Advanced free?

Yes. Udemy lists it as free to enrol. A certificate is available on completion — providers often charge separately for the certificate even when the course itself is free, so check the fee on the provider page before you count on it.

Does Python for Data Analytics - Beginner to Advanced come with a certificate?

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

Is Python for Data Analytics - Beginner to Advanced suitable for beginners?

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

What does Python for Data Analytics - Beginner to Advanced cover?

It is organised into 13 modules, starting with Helpful statistics concepts (optional) and going on to Introduction to Coding, Pandas for Data Analysis, Time Series Analysis, Numpy, among others. The full outline is on this page.