Investment Analysis with Natural Language Processing (NLP)
Learn How To Rigorously Leverage Python & Data Science Techniques for Sentiment Analysis, Applied to Investment Analysis
8.5 Hours On-Demand HD Video Lectures
On-demand, insanely detailed, easy-to-follow video lectures.
100s of Resources
Quizzes, Jupyter Notebooks, Mathematical Proofs, and a lot more.
At Your Pace
Lifetime access, including all future updates.
So much more than a course. This is a system.
Build your own investment analysis system from scratch, leveraging the power of maths, statistics, text & numerical data, and Python.
5 Sections to Mastery.
Use our structured learning path, designed for distinction.
There’s never been a better time to master Investment Analysis with Natural Language Processing (NLP)
Introduction to NLP and Sentiment Analysis for Finance
Discover Finance specific NLP / Sentiment Analysis applications in Context, Compliance, and Quantitative Analysis.
Hypothesis Design & Exploratory Data Analysis
Explore how you can formally express your investment ideas as testable hypotheses
(even if you don’t know what a testable hypothesis is).
Estimating Firm Level Sentiment (from scratch)
Discover how to quantify firm level sentiment from scratch. Work with large real world data obtained from credible sources.
Estimating Sentiment Portfolio Returns
Estimate the returns of sentiment portfolios after merging sentiment and firm level returns data from scratch.
Sentiment / NLP based Investment Analysis
Avoid guesswork by leveraging the power of statistics to rigorously test and validate your hypothesis.
All Future Updates Included
One time investment in yourself. Lifetime access, with all future updates included (for free, seriously).
Our most rigorous course yet.
Discover cutting edge techniques to analyse investments while working with text data
Designed for distinction.
Tried and tested, proven to work teaching techniques.
Step by step walkthroughs with real world data. And a wealth of resources to help you get confident and stay on track.
Carefully thought out, clutter free, insanely detailed.
Quizzes & Assignments
Progressively challenging, one step at a time.
All the code
Jupyter Notebooks, .py versions, all included.
For the mathematically curious.
Let’s be clear. This course is NOT for everyone.
Think you have what it takes to master Investment Analysis with NLP?
This course is for you if…
- You want to take your investment analysis skills to the next level.
- You want to leverage the power of text and numeric data with NLP on Python.
- You want to build a robust system for Investment Analysis with Natural Language Processing, from scratch.
This course is not for you if…
- You want a quick win. This course is anything but a “quick win”.
- You want to learn Python or Python for Finance from scratch.
- You want to learn investment analysis and portfolio management from scratch. See our sister course instead.
Don’t know how the basics of investment analysis? See our sister course instead.
One time investment in yourself. Lifetime access.
Become a master at Investment Analysis with Natural Language Processing (NLP)
What Some of Your Fellow Students Think…
The instructor warned that this is a challenging course and I agree completely. But it’s doable if you do the work. You should have the necessary prerequisites. If not, I believe you’ll struggle with the course.
Most courses describing portfolio techniques don’t validate whether the techniques are statistically significant. That means using the techniques without such knowledge could be a waste of time, or more specifically, you’ll lose money.
The instructor presented the materially well and if you do the work, you will learn from this course. It may present some surprises along the way, but that is what should happen with real-world results. This is a refreshingly honest and eye-opening course.
The instructor is very nice and responds to messages with great detail. The course is a bit intimidating at first but if you stick to it you will understand everything at the end!
I like that the knowledge I obtained in this course is not limited only to Finance but can be applied to every scientific research.
* Great course for learning about Data Science in general
* Great course to learn about NLP
* Great course to learn about Investment Analysis
* Great course to learn about setting and testing hypothesiss
Questions? We have answers.
Course delivery and access
When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund. No questions asked.
I'm a University / College student - is this course relevant for me?
The course is relevant for most Ivy League / Russell Group Universities. The content features the same cutting-edge and comprehensive syllabus offered at top Universities. You should always check your Module Handbook (aka Course Outline) to confirm.
I'm an investor / analyst / aspiring associate / other professional - is this course relevant for me?
Yes. The course focuses on core Finance concepts that are essential for anyone serious about a career in Finance.
I want to buy stocks and get rich quick - will this course help me do that?
Nor will any course. You might want to take anyone / anything that promises "quick wealth" with a cup full of salt.
Who Teaches This Course?
The course is taught by Vash. He has over 5,800 hours of professional teaching and training experience and has taught students and professionals across the UK and EU. Vash holds an MPhil in Finance and Econometrics, a MSc in Finance and Accounting, and a BSc in Business and Accounting from Russell Group Universities (Warwick & Exeter, UK).
He takes a student-centric approach to designing and delivering course content, and synthesises academic literature with real world applications. His clients include University students at the Undergraduate, Postgraduate, and MBA levels, as well as professionals ranging from Associates at Big 4 Accounting firms to finance directors at SMEs.