Description
Investment Analysis with Natural Language Processing NLP, course Investment Analysis with NLP Natural Language Processing is published by Udemy Academy. in this period You are properly trained in sentimental investment analysis. Leverage the power of Natural Language Processing (NLP) techniques to exploit sentiment for financial/investment analysis (with Python), while accurately validating your hypothesis. Explore the power of textual data to conduct rigorous financial/investment analysis, using hypothesis-driven approaches that are strongly rooted in the academic and professional literature.
Discover what natural language processing (NLP) is and how it applies to finance, using Python for finance. Learn the systematic 5-step process of sentiment analysis while working with a large sample of real scrambled data obtained for free from reputable sources. Using proven methods and teaching techniques that have helped students pass their exams and become certified accountants, hired by the world’s most famous investment banks, and also taught financial modeling techniques for valuation. He has used his own stock.
What you will learn
- Building a robust and accurate investment analysis system from scratch, using the power of textual and numerical data, math and statistics.
- We examine the different types of data sources that you can (and should) use.
- Find out what Natural Language Processing (NLP) is and how it applies to finance.
- Then use its power to create new insights from raw text data.
- Discover how to turn your investment idea/thesis into a testable hypothesis (even if you don’t know what a “testable hypothesis” is)
- Learn how to determine a company’s sentiment level using raw text data and the power of Python
- Take control of numbers and data; Innovate with powerful Python libraries including Pandas, NumPy, SciPy, NLTKy, and more.
Who is this course suitable for?
- Serious investors who want to work with robust techniques that are heavily based on academic and professional literature.
- Aspiring investors and analysts who want to strengthen their fundamental skills by learning how to harness the power of textual data.
- Financial managers are eager to use conceptual techniques such as natural language processing (NLP) and sentimental analysis in finance/investment fields.
- Students of high-level universities seek to secure the future of Hud, increase their competitive advantage and increase their skills
Details of Investment Analysis with Natural Language Processing NLP course
- Publisher: Yudmi
- teacher: Support from Fervent
- English language
- Education level: all levels
- Number of courses: 55
- Training duration: 12 hours 30 minutes
Head of the course seasons
Course prerequisites
- 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 (eg Jupyter Notebooks, Text Editors)
- We work with Jupyter Notebooks in the course, but .py versions of all code are available for download.
Images Investment Analysis with Natural Language Processing NLP
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
2.69 GB
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