Investment Analysis with Natural Language Processing NLP
Rigorously Leverage Python, Data Science & NLP Techniques for Sentiment Analysis and Financial Analysis | Core Finance
4.62 (135 reviews)
2,331
students
12.5 hours
content
Jan 2025
last update
$84.99
regular price
What you will learn
Build a robust, rigorous investment analysis system from scratch, leveraging the power of text and numeric data, maths, and statistics.
Discover how to transform your investment idea / thesis into a testable hypothesis (even if you don't know what a "testable hypothesis" is)
Explore the different types of data sources you can (and should) use, where you can find them, & how you should clean it to get it ready for investment analysis
Learn how to quantify firm level sentiment from scratch, using nothing but raw text data and the power of Python
Explore what Natural Language Processing (NLP) is, and how it's applied in Finance. Then leverage its power to drive new insights from raw text data.
Take control of the numbers and data; push the boundaries on what's possible with robust Python libraries including Pandas, NumPy, SciPy, NLTK, and more.
2687518
udemy ID
12/3/2019
course created date
10/6/2020
course indexed date
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