$120k+

The average annual base pay for Python roles in the US.

8 Million

High demand for Python and data science in finance by 2026.

2 Million

Python and algorithmic trading could replace millions of jobs.

Why Python mastery is important?

  • Finance Skills
    💰
    Most In-Demand Skill in Finance – Hedge funds, investment banks, and fintech startups rely on Python.
    📊
    Excel is Not Enough – Python handles millions of data points effortlessly.
    ⚡
    Automate & Optimize – Speed up financial analysis & backtesting with ease.
    🤖
    AI & Machine Learning in Finance – Python powers AI-driven trading strategies, risk assessment, and automation.

Comprehensive Coverage of Python in Finance

  • Python Core & Data
    🐍
    Python Setup – Install, configure & optimize Python for finance.
    📚
    Core Python Skills – Data structures, functions, loops, OOP.
    📑
    Financial Data Handling
    📊
    Pandas & NumPy – The core tools for market data analysis.
    🌍
    Web Scraping – Extract stock prices, news, & economic indicators.
    📈
    Matplotlib & Seaborn – Create stunning financial visualizations.

Extensive Coverage of Backtesting & technical analysis

  • Backtesting & Strategy Testing
    📉
    Backtrader & Zipline – The best backtesting libraries for quant traders.
    📊
    Alphalens & Ta-Lib – Technical analysis & factor investing models.
    ⚡
    Automated Strategy Testing – Optimize and deploy algorithmic trading models.

What Makes This Course Different?

  • Course Features
    ✔️
    No prior coding experience needed
    ✔️
    Finance-specific examples & datasets
    ✔️
    Step-by-step trading strategy implementation
    ✔️
    Lifetime access & real-world use cases
    ✔️
    List of interview questions from hedge funds included

Course Curriculum

    1. Intro-Python

    2. Course Code

    1. Variables - List

    2. Variables - Tuples, Sets, Dictionaries

    3. Variables - Strings and Operators

    4. Conditional Statements

    5. Loops

    6. Functions I

    7. Functions II

    8. Quiz : Basics of Python

    1. Data Structure - Types & Operations

    2. List, Tuples, Dictionary Operations - Slicing, Indexing etc.

    1. Data Preprocessing and python packages

    2. Numpy - Arrays

    3. Numpy- Indexing & selection

    4. Numpy - Operations

    1. Numpy - Array Functions

    2. Numpy - Return, Variance I

    3. Numpy - Return, Variance II and more

    1. Pandas - Data Structure and Series

    2. Pandas - Series Operations

    3. Pandas - Indexing and Time Series

    4. Pandas - Missing Data and time series analysis

    5. Pandas - DataFrames and Operations

    6. Pandas

Python in Finance Course

  • $49.00
  • 45 lessons
  • 7.5 hours of video content
  • 10+ Modules, 20+ sub-modules
  • Multiple Quizzes and assignments
  • 10000+ Lines of code

Course creators and instructors

Esfandiar Haghverdi

Professor of Computer Science, Indiana University Bloomington

Research Areas: Quantitative Finance, Security and Privacy, Theoretical Computer Science, Logical Foundations of Informatics

Hariom Tatsat

VP, Barclays | Author | UC Berkeley MFE | IIT KGP

Extensive experience as a Quant in the areas of Predictive Modeling and Instrument Pricing. Co-author of the book "Machine Learning and Data Science Blueprints for Finance", published in December 2020 by O'Reilly. Machine Learning, AI and Fintech enthusiast.

Course Features

  • 13 modules

    Each module containing several videos with 5+ hours content with several quizzes.

  • 10000+ lines of code

    Plug and play machine learning master templates and code for 15+ case studies

  • Course Certificate

    Certificate shareable on social media and in resumes.

  • Interview question and quizzes

    Several Interview questions and quizzes.

  • Community

    Be a part of vibrant peer group

  • Affordable

    Much lower valuation compared to expensive $1000+ courses.

Created by the Authors of the Leading Book on AI & Finance

Features of this book:

Book Features
📢 #1 New release on Amazon.com
📘 Ideal for finance professionals
📊 Master supervised learning models
📈 Build advanced trading strategies
🤖 Apply reinforcement learning techniques
📰 Use NLP for sentiment analysis
📉 Dimensionality reduction for portfolios
💡 20+ real-world case studies
🏦 Perfect for hedge funds, banks
💻 Code examples included for practice
Buy the book on Amazon

In Collaboration with the Author of "Python Algo Trading Cookbook

Features of this book:

Book Features
📖 Comprehensive guide to algorithmic trading in Python
📊 Real market data with hands-on implementation
⚙️ Covers multiple order types & trade execution
🔍 Step-by-step backtesting & strategy optimization
📈 Includes advanced technical indicators & trading strategies
Check the book on Amazon

Coming soon for "Algo Trading Strategies" modules

Run course strategies on "algobulls" cloud

Algo Trading Features
🤖 AI-powered strategy creation.
📑 Ready-made templates.
⚙️ Custom strategy building.
💻 Full control with coding.
Visit Algobulls

Top Universities offer this course to their students.

This course was selected and trusted by universities and organizations worldwide.

  • Who Should Take This Course

    Who Should Take This Course

    ★
    Quantitative Analysts – Buy/Sell Side professionals working with data-driven trading.
    ★
    Asset and Wealth Managers – Managing portfolios and investment strategies.
    ★
    C-Level Executives – CXOs in Finance and Tech looking to leverage data-driven decision making.
    ★
    Data Scientists & Analysts – Specializing in financial applications.
    ★
    Algorithmic Traders & Developers – Using Python for trading automation.
    ★
    Students & Graduates – Aspiring for finance and quant careers.
    ★
    Business & Financial Analysts – Seeking advanced analytical skills.
    ★
    Portfolio & Risk Managers – Managing financial risk effectively.
    ★
    Fintech Entrepreneurs – Building innovative finance solutions.
    ★
    Investment Bankers & Engineers – Enhancing financial modeling techniques.

Frequently Asked Questions

  • Is there any support available after I purchase the course?

    Yes, you can ask your queries related to the course on the community. We try our best to reply to the questions asap. However, we might need 2-3 business days in answering the questions. It might take longer in case of complicated questions. Additionally, the python ecosystem, APIs and the functions keep on changing quite frequently. Although, we try to be up to date with the latest setup, but some issues due to the changing python ecosystem is expected.

  • Is there a refund available?

    We respect your time, and hence, we offer concise but effective short-term courses created under professional guidance. We try to offer the most value within the shortest time. Please check the price of the course before enrolling in it. Once a purchase is made, we offer complete course content. For more details on the refund policies see Click Here

  • Will I be getting a certificate post the completion of the programme?

    Yes. We provide the certificate after completion of all the quizzes in the course.

  • Is the course downloadable?

    Some of the course material is downloadable such as Python notebooks with strategy codes. We also guide you how to use these codes on your own system to practice further.

  • Can I follow my own schedule?

    Yes, the lectures are pre-recorded and have self-paced modules. You have lifetime access and can watch them whenever you'd like.

  • I'm completely new to Python. Will this work for me?

    It helps if you have some exposure to programming Python before taking the course. The first few sessions cover the basics of Python, but it ramps up quickly from there.

Testimonials

“This course simplified Python for finance and helped me turn ideas into real trading strategies. The hands-on approach and clear explanations made it easy to apply concepts to the markets. I feel more confident in my trading decisions now!”

John Larson

“A must for anyone serious about algorithmic trading! I learned how to automate strategies and analyze financial data using Python. This course gave me the skills to stand out in the competitive finance industry.”

Aman Kesarwani

“This course bridges the gap between finance and coding. I quickly learned how to backtest strategies and automate trades. It’s practical, beginner-friendly, and essential for staying ahead in finance.”

Matt Brandon

Subscribe to Newsletter

Get educational content and details about latest developments.

Thank You