Explanation
Investing in Data-Growing Python | Financial Data Science, Become a Data Investor. Take the guesswork out of your investments forever. Leverage the power of Financial Data Science, Financial Analytics, Python, and Quantitative Finance to make solid investment decisions (and generate Alpha). Learn how to use powerful statistical techniques in Python to guide your investment decisions (even if you don’t know statistics or your math is weak). Start by getting a solid command of the fundamentals that drive the entire investment analysis / financial analysis process. Skyrocket your financial analysis / investing skills to a whole new level by learning how to leverage Financial Data Science, Quantitative Finance and Python in your investments.
We use the same tried and tested, proven to work teaching techniques that have helped our clients pass their professional exams (eg, ACA, ACCA, CFA®, CIMA), get hired by the world’s most prestigious investment banks, manage their personal portfolios, take control of their finances, overcome their fear of math and equations, and more. Here’s how we’ll help you leverage powerful Financial Science and Financial Analysis techniques to become a data-driven investor that harnesses the power of Python. all financial analysis / investment analysis in the process. These factors are the essence of proper financial analysis.
What will you learn?
- Take the “guess work” out of your investing forever by learning how to test and validate your investment ideas the hard way in Python.
- Discover and master the system and methodology of Data Science in Investment Driven that will change the way you analyze investments forever.
- Apply everything you learn using rich, big data from the real world (without compromising the mathematical and theoretical integrity of the concepts)
- Learn how to leverage powerful correlations and complex Financial Data Science techniques in Python to generate Alpha (for real)
- Understand why math works (and why equations work the way they do) – even if your math is weak or if math bothers you.
- Explore evergreen concepts like Expected Returns, Asset Pricing Models, and Portfolio Construction in exclusive Financial Data Science platforms, leveraging Pandas
Who is this course 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 learn the Short Term / Quantitative Asset Value Method in Python
- Portfolio managers want to avoid decision-making to strengthen investment analysis techniques based on Python data, based on academic and professional research.
Exclusive to Data-Driven Investing in Python | Financial Data Science
Index 2023-4
Requirements
- No prior Finance or Investment knowledge is required. We start with the basics. And turn you into a solid Information Investment.
- Basic coding knowledge is required. You don’t need to be an ‘expert’ in Python, but you do need to know the basics (eg the difference between strings, floats, lists, dictionaries)
- It doesn’t matter if maths bothers you. Actually. Each equation is defined by one variable at a time. We break it down to the core and show you how easy it really is.
- Knowledge of basic statistical analysis is beneficial but not essential. Any test involving statistics is studied from scratch.
- You will need a calculator, pen and paper (really), and your development environment (eg Jupyter Notebooks, Text Editors)
- We work with Jupyter Notebooks for the course, but .py versions of all Python code are available for download.
Pictures
Sample Clip
Installation Guide
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Subtitle: English
Quality: 720p
Download Links
Password file: free download software
file size
3.21 GB