Learn Python 2
Learn the basics of the world's fastest growing and most popular programming language used by software engineers, analysts, data scientists, and machine learning engineers alike.
Learn Python 2 is a beginner-level online course from Codecademy in Statistics. It is structured in 12 modules with 3 stated learning outcomes, over 17h. It is free to enrol, and a certificate is available on completion. Learners rate it 4.3/5 from 7.7K ratings on Codecademy.
Part of our Statistics courses collection, where we compare it against 5 other courses.
Course highlights
| Provider | Codecademy |
| Duration | 17h |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.3★ (7.7K reviews) |
| Price | Free |
About this course
Learn Python 2 is a beginner programming course from Codecademy. It runs for 17 hours and costs nothing — the price is listed as 0 USD and it is marked free. The course is taught in English and leads to a certificate. It is self-paced, so you can start anytime.
The module list builds skills step by step. You start with Python Syntax and Strings and Console Output, learning how to print and store text. Then you move into Conditionals and Control Flow, where you make decisions in code. Functions follow, teaching you how to reuse blocks of code. Next come Lists & Dictionaries, where you store collections of data. The course then has a section called Student Becomes the Teacher, which puts you in the role of grading work. Loops are covered next, showing how to repeat tasks. You also look at Exam Statistics, a practical application of the concepts. Advanced Topics in Python introduces more complex ideas. The final modules are Introduction to Classes and File Input and Output, which teach you how to structure data and save work to your computer.
By the end you can write basic Python programs. You can create and use functions, handle lists and dictionaries, build loops, and read from or write to files. These are skills you can use for small scripts, data tasks, or further study. The course does not go deep into object-oriented design beyond classes, nor does it cover web frameworks or data science libraries. If you want those topics, the supplied data lists other beginner courses that cover them.
Free options include the Explore Basic Statistics With IBM SPSS STATISTICS course on Udemy and the Free Intro Statistics Course on Udacity, both listed as free and beginner-friendly. If you are looking to move into data science, the Introduction to Statistics course on Coursera runs for 14 hours and 11 minutes and also offers a certificate.
What you’ll learn
Level and time commitment
What this course covers
12 modulesThe 12-part outline Codecademy publishes for this course, across 17h.
Module 1 · Python Syntax
Module 2 · Strings and Console Output
Module 3 · Conditionals and Control Flow
Module 4 · Functions
Module 5 · Lists & Dictionaries
Module 6 · Student Becomes the Teacher
Module 7 · Lists and Functions
Module 8 · Loops
Module 9 · Exam Statistics
Module 10 · Advanced Topics in Python
Module 11 · Introduction to Classes
Module 12 · File Input and Output
What learners rate it
Rated 4.3/5 by 7.7K learners on Codecademy (checked 10 Aug 2026).
This rating is collected by Codecademy from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Codecademy →
Compiled by the CoursesGlobal editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Codecademy course pages — we never estimate a price or a rating. Last verified 10 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 |
|---|---|---|---|---|---|
| Learn Python 2 This | Codecademy | 4.3★ | Free | 17h | Free — and still gives a certificate |
| Introduction to Statistics |
 Coursera
|
4.6★ | Check price | 14h 11m | Quickest to finish (14h 11m) |
| Methods and Statistics in Social Sciences |
Coursera
|
4.6★ | Check price | 3 months | Highest rated (4.6★ from 8K reviews) |
| Free Intro Statistics Course | Udacity | Udacity | 4.5★ | Free | Free to audit |
Where Statistics leads
Roles we map to Statistics on CoursesGlobal. This is our own mapping of subject to job, not a placement claim by Codecademy.
Browse every course we track for one of these — courses for data analysts.
Common questions
Is Learn Python 2 free?
Yes. Codecademy 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 Learn Python 2 come with a certificate?
Yes — Codecademy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
How long does Learn Python 2 take?
Codecademy lists it at 17h. 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 Learn Python 2 suitable for beginners?
Yes. Codecademy lists it at Beginner level, so no prior experience in the subject is assumed.
What does Learn Python 2 cover?
It is organised into 12 modules, starting with Python Syntax and going on to Strings and Console Output, Conditionals and Control Flow, Functions, Lists & Dictionaries, among others. The full outline is on this page.