Description
Data-Driven Investing with Excel ® | Financial Data Science, a data-driven investment training course with Excel, is published by Udemy Academy. Become a data-driven investor. Take the guesswork out of your investing forever. Leverage the power of financial data science, financial analytics, and quantitative finance for strong investment decisions (and alpha generation). Discover how to use accurate statistical techniques to guide your investment decisions (even if you don’t know statistics or your math is weak). We have used the same tried and proven training techniques that have helped our clients pass their professional exams (eg ACA, ACCA, CFA, CIMA) by the most renowned investment banks. Get hired in the world, manage your portfolios, take control of your finances, overcome your fear of math and equations and much more. You will gain a strong foundation of fundamentals that will guide the entire financial/investment analysis process. These principles are the foundation of financial analysis done right.
They will stand you in good stead as you begin to apply the financial data science techniques in Part 2 of this course, and long after you’ve finished the course. Forget watching videos where all Excel templates are pre-made. We start from Excel spreadsheets (like in the real world). We will build everything from scratch. This way you will literally see how we do accurate financial analysis / financial data science, one step at a time, using data-driven investing as our foundation. Apply what you learn immediately with 200 exam questions with perfect and detailed solutions. There’s also a practice test to help you hone your knowledge and skills, and a bunch of practice tests where we apply financial/quantitative data science techniques to data-driven investing environments. we go
What you will learn
- Take the “guesswork” out of your investing forever by learning how to statistically test and rigorously validate your investment ideas.
- Discover and master the systematic and scientific process of data-driven investing that will change the way investments are analyzed 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 use incredibly powerful relationships and precise financial data science techniques to generate alpha (seriously).
- Understand why math works (and why equations work the way they do)—even if your math is bad and if math scares you.
- Exploring evergreen concepts such as expected returns, asset pricing models, and portfolio construction in unique financial data science environments.
Who is this course suitable for?
- Individual/retail investors looking to enhance their financial analysis skills using the power of financial data science
- Bold fund analysts and associates looking to master quantitative financial techniques/asset pricing style
- Portfolio managers who want to move from subjective decision making to robust data-driven investment analysis techniques rooted in academic and professional research.
- Students CFA®, ACA, ACCA seeks to apply familiar concepts in practical, data-driven / financial data science environments
Details of the Data-Driven Investing with Excel ® course Financial Data Science
Head of the course chapters on 2023-11
Course prerequisites
- No prior knowledge required. We start from the very basics. And transform you into a robust Data Driven Investor.
- 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 and access to Microsoft Excel®. Google Sheets can’t quite handle the sample size you’ll work with (N > 1 million) but it is used for parts of the course.
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
4.6 GB
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