Investment Analysis & Portfolio Management with Python (Udemy.com)

Excellent course with high-quality material and practical examples. It provides a clear understanding of the relationship between risk and expected return, which is fundamental for making sound investment decisions. The course does an excellent job of explaining portfolio construction and optimization. By the end, you not only understand the theory behind diversification, but also how to adjust portfolio weights to minimize risk while maintaining a desired level of return. I particularly appreciated the hands-on approach and the focus on applying Modern Portfolio Theory to real investment scenarios. Highly recommended for anyone interested in portfolio management, quantitative investing, or financial analysis.

Useful as a refresher. But very basic throughout, sometimes frustratingly so. You'll often power through a 20 minute video and realize you essentially calculated an average in two slightly different basic ways, and wrote a superfluous python function parametrized for both methods, when a one liner would have done. Again, we go 10 minutes into the equation of a straight line. I get the idea, reframing more complex concepts into something more understandable. But at the end of the day, you have minimal tools you can actually use on real world instruments beyond "what's the historical average return", which is a very minor component of predicting future behavior. I'd still recommend this course, just wishing we got into some more advanced models.

This was one of the courses worth every minute I spent with it! Vash did a superb job of explaining financial matter which was completely new to me. Equally good is the integration/application of the matter in Python so that you can actually work with your new knowledge in practical. As a scientist, I looked for systematic background when starting investing, and found exactly was I needed. The math deductions de-mystified the indicators, and Vash did a great job to fill them with life. The quizzes and assignments in all their variations of the subject were very good for exercise the application. The test was challenging, but also gave further meaning by enforced thinking about the questions. Now it all makes sense for me. I suppose I will spend many future hours with my Python IDE to apply the concepts instead of simply hunting the cheapest stock of the day. Naturally, a lot of questions arised when applying in practice. I will check the Q&A discussions what they say. I enrolled in some more Fervent courses and look forward to them. Great job you did!

I took this course mainly as a refresher to core concepts of portfolio theory, but the biggest Heureka! moment for me was clear explenation of the relationship between correlation of different stocks and it's effect on overall portfolio risk. I really much enjoyed the applied approach with Python as well. Very nice and digestible course!

Was initially a bit sceptical about this course but as I worked my way through it definitely improved. There were a couple of times where the link between what they were asking in the questions and the course content wasn't as established as I'd normally like from a personal preference, but mostly it was just relating to how formulas were either communicated or written, which I know for some people it will come more naturally to them in the format that these guys have written it. Was a bit thrown by the matrix algebra in here but it's not the most difficult thing to pick up (certainly compared to other quant finance topics), and after a couple of short YouTube videos I was good to go. After some initial misgivings I grew to like the coding procedures as well and they're certainly a lot better than some other courses I'm taking in the same field.

The teacher does a phenomenal job of explaining financial concepts. Walking through them in an organized manner. Also, being able to explain the corresponding python code that goes along with the information. The structure, information, and explanations are all top class. They do a great job of teaching you about finance, math, and python all wrapped in one while keeping the main thing focused on finance and python. The only downside is the author has a lot of investment opinions that are not substantiated by any proof such as "technical analysis doesn't work" when there are many professionals who have made a career off of something that "doesn't work". If he is going to teach a finance class do not embed those biases into people who may not know any better. Overall this class was above my expectations and will give me a foundation to use python to do more in-depth financial analysis. Thank you.

The course is really good especially for beginners. The presenter is very knowledgeable both on the subject and on the use of python, and above all he is clear in every step during the explanations of the various modules of the course. The math is not so "user friendly" but it is explained in an appropriate way and I would say that it allows at least a rough understanding of the various contents. In general the course is useful and well organized with quizzes and hands on!

This course is very good for gaining the financial knowledge. I am quite the beginner of this path. There are some math requirement in this course but not too tight. I think I will revisit the course sometime because I cannot remember all formula but the core concept is much more condensed in my mind. I will continue to learn more about finance!!

Excellent course and very good course materials. Vash answered my questions quickly. I haven’t noticed anything on the Sharpe Ratio or a Monte Carlo simulation which is a shame, but perhaps it’s coming as I haven’t finished the course. The music at the start of each unit is too loud for people with headphones.

What an amazing course! The course content is very relevant, and the tuition is amazing. Frequent quizzes also makes sure that you are ready to move on to the next part of the course, and the parts build on each other. I would definitely recommend this course to anyone wanting to use Python for portfolio construction.