The course was a great start if you want to explore Financial Analysis. Somehow in the quiz section some of the links provided to answer question did not work unfortunately. It would be great if there is like a second option in order to open the task from a different way.

It's a great introduction course to Financial Analysis without much knowledge of Python. But some of the material might be slightly out-dated now and there are not much explanation at the latter half of the course especially on how to apply the model to other variations.

The content of the course is really good.

The amount and density of the information for the last week is high. Specially compared with first week. Would be great if it could be balanced information per week.

Time to time the (English) pronunciation wasn't good enough.

The course has offer me a insight in Python in Statistics and how I can implement in the field of Finance.

Overall difficulty was moderate to high, Week 4 was way to difficulty, I would suggest that a person with Knowledge on Statistics should apply to this course

I agree the content is extremely useful, especially, for people who are starting to learn about finance, and statistics. The only complain was that my expectations were rather a focus in python than in the finance concepts themselves. Overall, a great course

It has been a really interesting course, but I expected to learn a way to get the signals using a price action analysis, or even identify some support/resistance areas. However, it has given me some ideas to continue with my learning.

Completely recommended!

Nice intro to using python in financial statistics. I dont have financial background so a lot of things were too complex for me. In general this course will not teach you statistics or python but will rather show potential in learning both of them together.

Professor Wan was a great teacher. However, I believe that going in to more depth concerning the modules contained in jupyter notebook would be beneficial to better understand the actual mathematical processes behind the statistical analysis we performed.

Very good course combining financial analysis with Python implementation! However, I've expected more of the own work in the Jupyter notebooks, rather than just running pre-made code. Besides that, well-taught course with real-life implementations.

It's easy for me.The only difficlut part is the knowledge of trading strategy. This is a basic class for some finacial students who didn't know how to use python to predict price and make decesions. What's more, adding more progamming is favorable.

It´s a good course to learn about not only Python, but also about statistics and how you can manage those for financial analysis. It covers interesting topics, however sometimes some topics are complicated and need a bit of previous knowledge.

The course should have been a bit longer as it felt rushed. Particularly in the Linear Regression Model. Also the Lab should have been more involved as mostly it was just changing a thing or two rather than writing code yourself for practice.

good overview. some of the formulas were a bit hard to follow initially. need to plan to spend time on labs/examples to get the hang of it. a little more explanation of interpreting results would have been nice. overall, good course.

The course was good, however the resources used are sometimes confusing and lack information

also, the tests have links and NONE of them work (at least on my computer)

In general, thank you for making this course available for everyone ;)

Well constructed learning and the Jupyter Notebooks are a great way of completing exercises. Some of the labs could be improved by incorporating more exercises and there are a number of typos throughout, but overall a useful course.

Thanks to professor and Coursera, this course was beneficial, although because of my lack of statistical knowledge, it was pretty time-consuming and hard to keep up with, though with a little study on the side it became possible.

Course touch based on lot of good fundamentals and basic maths for finance. Also the Python coverage is very good. Some of the things I feel could improve

1. Abrupt jumps

2. Not explaining the rationale of formulas at many places.

Easy course to follow, just wish there was more 'do-it-yourself' parts vs. having all the code written already and all you have to do is run them. Overall, I learned quite a bit as the Professor was very detailed and concise.

Too much too fast. I was having trouble keeping up in some lessons because i didn't know how to code in with Python in the first place. But overall, good course and use of statistics applied to finance modeling and analysis.

Good introduction to Financial Analysis. However people with no background in statistics may have trouble. Moving back and forth between lectures to recollect small details makes it a good learning tool.

Thanks Again!

The course true to its title and objectives and delivers a good understanding of the basics of python and statistics needed for financial analysis. An additional practice dataset for each week would be helpful.

The course is very short and condensed, serving as an introduction to Finance with Python. More examples and exercises are needed to explain more about the topics, but overall it's pretty good and straightforward.

I have learned quite a lot from this course. Econometrics and statistics are an important part of Financial Analysis of course. I would prefer if the course drew more deeper into the mechanics of Python, however.

Good course with introduction to some statistical concepts and surface level python. Does not go into great depth with python and the jupyter notebooks could be a bit more challenging but overall a solid course.

This is very fun course but i'm not recommend for beginner at least you need to have knowledge of statistics and basic machine learning(test,train) these will help you more understanding while study this course