Investment Analysis with Natural Language Processing NLP

Rigorously Leverage Python, Data Science & NLP Techniques for Sentiment Analysis and Financial Analysis | Core Finance

Created by: Fervent #LearnWithDistinction
Rigorous courses, backed by research, taught with simplicity

Created by: Support from Fervent

What Will I 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.

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 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.

Target audience

• Serious investors wanting to work with robust techniques that are rigorously grounded in academic and practitioner literature.
• Analysts, and aspiring Investment Bankers wanting to future proof themselves and their core skillsets by learning how to leverage the power of text data.
• Finance Managers keen on applying conceptual techniques including Natural Language Processing (NLP) and Sentiment Analysis in Finance / Investment contexts.
• Ivy League / Russell Group University students looking to future proof themselves, increase their competitive advantage, and enhance their skills.