[ DevCourseWeb.com ] Investment Analysis with Natural Language Processing (NLP)
Download More Courses Visit and Support Us -->> https://DevCourseWeb.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 33 lectures (8h 47m) | Size: 2.38 GB
Rigorously Leverage Python & Data Science Techniques for Sentiment Analysis, Applied to Financial / Investment Analysis
What you'll 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 to test and validate your hypothesis, where you can find them, and 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.
Requirements
Coding knowledge is REQUIRED. You don't need to be an 'expert' in Python, but you DO need to know how to code.
At a minimum, we assume you know what lists, dictionaries, and tuples are; and you know the difference between strings, integers, and floats.
Knowledge of Core Investment Analysis concepts is REQUIRED.
At a minimum, we assume you know how to estimate stock returns, and quantify risk (e.g. standard deviation).
See our sister course on Investment Analysis & Portfolio Management (with Python) if you don't know these core concepts yet.
Knowledge of basic statistical analysis is useful but NOT essential.
You'll need a development environment (e.g. Jupyter Notebooks, Text Editors)
We work with Jupyter Notebooks in the course, but .py versions of all code is available for download.
Description
Say hello to Sentiment Based Investment Analysis done right. Leverage the power of Natural Language Processing (NLP) techniques to exploit Sentiment for Financial Analysis / Investment Analysis (with Python), while rigorously validating your hypothesis.
Explore the power of text data for conducting financial analysis / investment analysis rigorously, using hypothesis driven approaches that are rigorously grounded in the academic and practitioner literature. All while leveraging the power of Python.
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
Download More Courses Visit and Support Us -->> https://DevCourseWeb.com
Get More Tutorials and Support Us -->> https://AppWikia.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
