Explanation
Say hello to Sentiment Based Investment Analysis done right. Leverage the power of Natural Language Processing (NLP) techniques to leverage your Financial Analysis/Investment Analysis (Python), rigorously validating your assumptions. Explore the power of textual data to conduct rigorous financial/investment analysis, using hypothesis-driven approaches that are firmly grounded in academic and professional literature. All while harnessing the power of Python.
Discover what Natural Language Processing (NLP) is, and how to apply it to Finance, using Python for Finance. Master the systematic 5 step process of Sentiment Analysis by working with a large sample of messy world data from reliable sources, for free. We’ve used the same tried and tested, prover to work fars training that’s help our clients Ace their exams and become a certified public accountant, employed by the world’s most prestigious investment bank, and in fact, manage their own portfolios
What will you learn?
- Build a robust investment analysis system from scratch, leveraging the power of text and quantitative, mathematical, and statistical data.
- Find out how to turn your investment idea / theory 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 to find them, and how to clean them to prepare for investment analysis.
- Learn how to estimate complexity level sensitivity from scratch, using nothing but raw text data and the power of Python
- Explore what Natural Language Processing (NLP) is, and how it applies to Finance. Then leverage its power to generate new insights from raw text data.
- Take control of numbers and data; push the boundaries of what’s possible with powerful Python libraries including Pandas, NumPy, SciPy, NLTK, and more.
Who is this course for?
- Serious investors who want to work with sophisticated techniques that are firmly rooted in academic and professional literature.
- Analysts, and aspiring Investors who want to future proof themselves and their core skills by learning how to harness the power of data analytics.
- Financial Managers tend to use conceptual techniques including Natural Language Processing (NLP) and Emotional Analysis in Finance/Investments.
- Ivy League/Russel Group University students looking to future-proof themselves, increase their competitive advantage, and enhance their skills.
Specializing in Investment Analysis with NLP Natural Language Processing
- publisher: Udemy
- Teacher: Fervent support
- Language: English
- Level: All levels
- Number of courses: 55
- Duration: 12 hours and 30 minutes
The essence
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 lists, dictionaries, and tuples are; and you know the difference between strings, filters, and floats.
- Knowledge of basic statistical analysis is beneficial but not essential.
- You will need a development environment (eg Jupyter Notebooks, Text Editors)
- We work with Jupyter Notebooks for the course, but .py versions of all code are available for download.
Visualize Investment Analysis with NLP Natural Language Processing
Video Example
Installation Guide
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Subtitle: English
Quality: 720p
Download Link
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file size
2.69 GB