What will you learn

Unlock the Power of Python in Finance

  • Master Python fundamentals and essential libraries like NumPy, Pandas, and Matplotlib for financial data analysis.

  • Learn to import, scrape, and preprocess real-world financial data for in-depth analysis.

  • Design, backtest, and optimize trading strategies using professional tools like Backtrader, Zipline, Alphalens, and Ta-lib.

  • Gain hands-on experience with live trading, backtesting, and paper trading on an integrated cloud platform.

Course Curriculum

    1. Intro-Statistics and Econometrics

    2. Course Code

    1. Basics - Mean & variance

    2. Basics - Measure of Dispersion

    3. Basics - Variance and Standard Deviation

    1. Hypothesis Testing Intro

    2. Hypothesis Testing Test Statistics

    3. Hypothesis Testing on mean and variance

    4. Quiz : Basics

    1. Linear Regression - Intro and basics

    2. Linear Regression - metrics and evaluations

    3. Linear Regression - OLS, error and assumptions

    4. Linear Regression - Instability and Multicollinearity

    5. Linear Regression - Multiple Linear Regression and tests

    6. Linear Regression - Heteroskedasticity and multicollinarity

    7. Quiz : Linear Regression

    1. Time series - Decomposition and Stationarity

    2. Time series - Stationarity II & ARIMA

    3. Time series - ARMA, ARIMA and SARIMAX

    4. Time series - Stationarity tests, ACF, PACF

    5. Time series - Model Usage and Tests

    6. Time Series - Statistical Arbitrage and Cointegration

    7. Quiz : Time Series

    1. Using Statistical Tests for Algo Trading

    2. Statistical Tests - Use for strategies

ML FINANCE COURSE

  • $100.00
  • 27 lessons
  • 4 hours of video content
  • 11 Modules, 15+ Case Studies
  • 20+ Quizzes and assignments
  • 10000+ Lines of code

  • 11 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.

  • Webinars

    Attend several webinars and session related to course and latest updates on Financial Machine Learning

  • Community

    Be a part of vibrant peer group

  • Affordable

    Much lower valuation compared to expensive $1000+ courses.

Meet Your Instructor

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.

Esfandiar Haghverdi

Professor of Computer Science

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

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 Python roles in the US.



8 million

The projected demand for Python and data science professionals in finance by 2026.

2 million

Python and 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

Subscribe to Newsletter

Get educational content and details about latest developments.

Thank You