Udemy – Data-Driven Investing with Python | Financial Data Science 2021-10

Udemy – Data-Driven Investing with Python | Financial Data Science 2021-10 Downloadly IRSpace

Apr 17, 2025 - 11:41 Updated: Apr 20, 2025 - 21:43

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Udemy – Data-Driven Investing with Python | Financial Data Science 2021-10

Data-Driven Investing with Python | Financial Data Science, Become a Data Driven Investor. Take the guesswork out of your investing forever. Leverage the power of Financial Data Science, Financial Analysis, Python, and Quantitative Finance to make robust investment decisions (and generate Alpha). Discover how to use rigorous statistical techniques on Python to guide your investment decisions (even if you don’t know statistics or your math is weak). Start by gaining a solid command of the core fundamentals that drive the entire investment analysis / financial analysis process. Skyrocket your financial analysis / investment analysis skills to a whole new level by learning how to leverage Financial Data Science, Quantitative Finance and Python for your investing.

We’ve used the same tried and tested, proven to work teaching techniques that have helped our clients ace their professional exams (e.g., ACA, ACCA, CFA®, CIMA), get hired by the most renowned investment banks in the world, manage their own portfolios, take control of their finances, get past their fear of math and equations, and so much more. Here’s how we’ll help you master incredibly powerful Financial Data Science & Financial Analysis techniques to become a robust data driven investor who leverages the power of Python You’ll gain a solid foundation of the core fundamentals that drive the entire financial analysis / investment analysis process. These fundamentals are the essence of financial analysis done right.

What you’ll learn

Remove the “guesswork” from your investing forever by learning how to statistically test and validate your investment ideas rigorously on Python
Discover and master the systematic and scientific Data Driven Investing process that will transform the way you analyse investments forever
Apply everything you learn using rich, large real world data (without compromising on the mathematical and theoretical integrity of concepts)
Learn how to leverage incredibly powerful relationships and rigorous Financial Data Science techniques on Python to generate Alpha (seriously)
Understand why the math works (and why equations work the way they do) – even if your math is weak and if math freaks you out.
Explore evergreen concepts like Expected Returns, Asset Pricing Models, and Portfolio Construction in unique Financial Data Science settings, leveraging Pandas

Who this course is for

Individual / retail investors looking to “up” their Financial Analysis game by leveraging the power of Financial Data Science and Python
Hedge Funds Analysts and Associates looking to master Long-Short / Asset Pricing style Quantitative Finance techniques on Python
Portfolio Managers wanting to move away from subjective decision making to robust data-driven investment analysis techniques on Python, grounded in the academic and practitioner research

Specificatoin of Data-Driven Investing with Python | Financial Data Science

Publisher : Udemy
Teacher : Fervent #LearnWithDistinction , Support from Fervent
Language : English
Level : All Levels
Number of Course : 48
Duration : 12 hours and 44 minutes

Content on 2023-4

Data-Driven Investing with Python | Financial Data Science

Requirements

No prior Finance or Investing knowledge required. We start from the very basics. And transform you into a robust Data Driven Investor.
Basic coding knowledge is REQUIRED. You don’t need to be an ‘expert’ in Python, but you do need to know the basics (e.g., difference between strings, floats, lists, dictionaries)
It’s okay if math freaks you out. Seriously. Every single equation is explained one variable at a time. We rip it apart to its core, and show you how simple it really is.
Knowledge of basic statistical analysis is useful but NOT essential. Every relevant statistical test is taught from scratch.
You’ll need a calculator, pen and paper (seriously), and your development environment (e.g. Jupyter Notebooks, Text Editors)
We work with Jupyter Notebooks in the course, but .py versions of all Python code is available for download.