Course Coverage

Master financial data for algorithmic trading.

  • Access real-time and historical data for 100,000+ instruments across 50+ global exchanges.

  • Ready to use python code to download data from several sources across almost all asset classes.

  • Analyze fundamentals, calculate financial ratios, and use 50+ technical indicators for trading signals.

  • Retrieve tweets, news, and resample data while monitoring GDP and inflation for adjustments.

  • Explore equities, FOREX, cryptocurrencies, and commodities to build diversified algorithmic trading strategies.

Course Curriculum

    1. Intro-Financial Data

    1. Data Types - Fundamental, Price, Analytics, Alternative Data

    2. Categories - Equities, Fixed Income, Crypto, fundamental, F&O

    3. Quiz 1 : Basics

    1. Free Data Sources

    1. Yahoo Finance - Importing the data

    2. Yahoo Finance - QuantAI's documentation and code

    1. Alphavantage - Importing Data

    2. Alphavantage - QuantAI's documentation and code

    1. FRED, Fundamental Analysis and Quandl - Importing data

    2. FRED - QuantAI's documentation and code

    3. Fundamental Analysis - QuantAI's documentation and code

    4. Quandl - QuantAI's documentation and code

    5. Quiz4
  • $100.00
  • 25 lessons
  • 1 hour of video content
  • Several modules and submodules
  • Several Quizzes and assignments
  • 10000+ Lines of code

  • 5+ modules

    Each module containing several videos with several hours content with multiple quizzes.

  • 10000+ lines of code

    Ready to use template for data download.

  • Course Certificate

    Certificate shareable on social media and in resumes.

  • Webinars

    Attend several webinars and session related to use of data in algorithmic trading.

  • Community

    Be a part of vibrant peer group

  • Affordable

    Much lower valuation compared to expensive $1000+ courses.

Meet Your Instructor

Esfandiar Haghverdi

Professor of Computer Science

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

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.

Top Universities offer this course to their students.

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

Career Outlook

$120k+

The average annual base pay for a algo trading roles in the US.



8 million

The projected demand for Algo trading professionals in finance by 2026.

2 million

Algorithmic trading could replace millions of manual roles.

Who should take the course

★ Quantitative Analysts (Buy/Sell Side) ★ Asset and Wealth Managers
★ C-Level Executives (CXOs) in Finance and Tech ★ Data Scientists and Analysts in Finance
★ Algorithmic Traders and Python Developers ★ Students and Graduates Aspiring for Finance Careers
★ Business and Financial Analysts ★ Portfolio and Risk Managers
★ Fintech Entrepreneurs and Startups ★ Investment Bankers and Financial Engineers

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.

Testimonials

“Whether you are a quantitative analyst in a hedge fund or investment banks looking to start building machine learning models in Python, or a machine learning student looking to work on a ML related project, look no further!”

Aman Kesarwani

“A really practical course. It has a GitHub code repo containing the python code for all case studies included with the course. The code can be easily customized for related ML/AI problems in Finance.”

John Larson

“Wonderfully organized and structured. The case studies to supplement theoretical explanation is something strong highlight of the course. ”

Matt Brandon

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