Algorithmic Trading & Quantitative Analysis Using Python
Algorithmic Trading & Quantitative Analysis Using Python is an intermediate-level online course from Udemy in Trading. It is structured in 12 modules with 3 stated learning outcomes, over 22.5 hours. It costs ₹529, certificate included. Learners rate it 4.4/5 from 4.8K ratings on Udemy, with 46.2K enrolled.
Part of our Trading courses collection, where we compare it against 24 other courses. See all Trading courses on Udemy.
Course highlights
| Provider | Udemy |
| Duration | 22.5 hours |
| Level | Intermediate |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Instructor | Mayank Rasu |
| Rating | 4.4★ (4.8K reviews) |
| Learners | 46.2K |
| Price | ₹529 ₹3,689 |
What you’ll learn
Level and time commitment
What this course covers
12 modulesThe 12-part outline Udemy publishes for this course, across 22.5 hours.
Module 1 · Introduction
Module 2 · Getting Data
Module 3 · Web Scraping to Extract Financial Data
Module 4 · Basic Data Handling and Operations
Module 5 · Technical Indicators
Module 6 · Performance Measurement - KPIs
Module 7 · Backtest Your Strategies
Module 8 · Value Investing
Module 9 · Building Automated Trading System on a Shoestring Budget
Module 10 · Bonus Section: Running Your Algorithms in Cloud
Module 11 · Bonus Section: Sentiment Analysis
Module 12 · Archived Lectures
What learners rate it
Rated 4.4/5 by 4.8K learners on Udemy (checked 6 Oct 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 CoursesGlobal 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 6 October 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 | |
|---|---|---|---|---|---|---|
| Algorithmic Trading & Quantitative Analysis Using Python This |
|
4.4★ | ₹529 | 22.5 hours | Most popular — 46.2K learners | |
| Algorithmic Trading using Angel One's Smartapi |
|
4.7★ | ₹509 | 11.5 hours | For learners past the basics · 11.5 hours | View ↗ |
| ChatGPT for Stock Trading: Boost Your Investments with AI |
|
4.7★ | ₹449 | 6 hours | Highest rated (4.7★ from 550 reviews) | View ↗ |
| How to be a Profitable Trader - Best Forex Trading Strategy |
|
4.6★ | ₹609 | 3 hours | Quickest to finish (3 hours) | View ↗ |
Common questions
How much does Algorithmic Trading & Quantitative Analysis Using Python cost?
It is listed at ₹529 on Udemy, last checked 6 October 2026. Course prices change and providers run discounts, so treat this as the list price and confirm on the provider page.
Does Algorithmic Trading & Quantitative Analysis Using Python come with a certificate?
Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
How long does Algorithmic Trading & Quantitative Analysis Using Python take?
Udemy lists it at 22.5 hours. 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 Algorithmic Trading & Quantitative Analysis Using Python suitable for beginners?
Udemy lists it at Intermediate level, so it assumes some grounding in the subject already. If you are starting from zero, a beginner-level course in the same topic is the better entry point.
What does Algorithmic Trading & Quantitative Analysis Using Python cover?
It is organised into 12 modules, starting with Introduction and going on to Getting Data, Web Scraping to Extract Financial Data, Basic Data Handling and Operations, Technical Indicators, among others. The full outline is on this page.
Who teaches Algorithmic Trading & Quantitative Analysis Using Python?
Mayank Rasu, as listed by Udemy.