Udemy
Python for Finance: Investment Fundamentals & Data Analytics
Python for Finance: Investment Fundamentals & Data Analytics is a beginner-level online course from Udemy in Data Analytics. It is structured in 20 modules with 8 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 4.5/5 from 29.5K ratings on Udemy, with 146.7K enrolled.
Part of our Data Analytics courses collection, where we compare it against 15 other courses.
Course highlights
| Provider | Udemy |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.5★ (29.5K reviews) |
| Learners | 146.7K |
| Price | Free Free |
What you’ll learn
Level and time commitment
Skills you’ll gain
What this course covers
20 modulesThe 20-part outline Udemy publishes for this course.
Module 1 · Welcome! Course Introduction
Module 2 · Introduction to Programming with Python
Module 3 · Python Variables and Data Types
Module 4 · Basic Python Syntax
Module 5 · Python Operators Continued
Module 6 · Conditional Statements
Module 7 · Python Functions
Module 8 · Python Sequences
Module 9 · Using Iterations in Python
Module 10 · Advanced Python tools
Module 11 · PART II FINANCE: Calculating and Comparing Rates of Return in Python
Module 12 · PART II Finance: Measuring Investment Risk
Module 13 · PART II Finance - Using Regressions for Financial Analysis
Module 14 · PART II Finance - Markowitz Portfolio Optimization
Module 15 · Part II Finance - The Capital Asset Pricing Model
Module 16 · Part II Finance: Multivariate regression analysis
Module 17 · PART II Finance - Monte Carlo simulations as a decision-making tool
Module 18 · APPENDIX - pandas Fundamentals
Module 19 · APPENDIX - Technical Analysis
Module 20 · BONUS LECTURE
What learners rate it
Rated 4.5/5 by 29.5K 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 →
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 Finance: Investment Fundamentals & Data Analytics This |
Udemy
|
4.5★ | 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) |
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.
Browse every course we track for one of these — courses for data analysts.
Common questions
Is Python for Finance: Investment Fundamentals & Data Analytics 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 Finance: Investment Fundamentals & Data Analytics 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 Finance: Investment Fundamentals & Data Analytics suitable for beginners?
Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.
What does Python for Finance: Investment Fundamentals & Data Analytics cover?
It is organised into 20 modules, starting with Welcome! Course Introduction and going on to Introduction to Programming with Python, Python Variables and Data Types, Basic Python Syntax, Python Operators Continued, among others. The full outline is on this page.