More explanation were required on the codes, being a beginner level course.

Pretty solid course, kind of difficult to grasp at times to a newcomer.

No aterriza es algo práctico que pueda utilizar para el análisis

good course but requires prior knowlege related to python

It was pretty hard to understand concepts at the end

Course is more about statistics than python.

No coding based assignments. Not too useful.

The videos could have been more explanatory.

Es un curso para interesados en trading

It should be upgraded to help beginers

Python codes are not really explained.

its a good learning experience for me

the content is amazing but outdated

Most of the links didn't work.

It was a bit hard to follow

need to improvment

average

...

k

The knowledge side, it is very good and relevant to finance.

But the tech and coding side which is the main thing i'm looking forward, is very bad. The instruction is not step by step and not clear in application. I don't even know where the files are and so i cannot import in the jupyter notebook.

The courese, first, need to tell learners the over view of python that learners need python installed as a programming language and a separate IDE like a notebook to code on, such as visual studio code, or jupyter notebook, because coding is not like using MS offfice, just install and go.

Third, the syntax taught is very bad and outdated. At the import phase, I cannot even use the syntax of "Data frame.from csv" in python 3.10. Assume that it can be run in the environment of cousera, how can I use python in the working environment if you taught me such outdated syntax.

Some links were broken, or had other issues. The course is primarily a flash introduction to regression analysis. I was hoping to learn more python skills. Might be worthwhile if you are already comfortable with multiple regression and python but are specifically interested in financial time series. As it primarily assumes stock prices changes will be normal I expect all the material is utterly useless in the real world (real stock world shifts in stock price tend to follow Pareto distribution).

I really cannot recommend this course. Course tries to touch two major topics: Financial Risk Management and Statistics. In both disciplines course is only scratching surface of the subject without going into any details. Just for quantitive estimation, FRM is 100+ hours of material, Statistics - another 200+ hours. Whole course contains definitely less than 4 hours of lectures.

On the other hand - course is some sort of source of topics you need to find yourself over Internet and learn yourself.

In evaluating this course, it took me a while to identify the target audience from the course materials. The statistical content is too fast-paced and lacking detail for newcomers, and that the Python content is de-emphasised. I suppose that this course is a good introduction for those outside finance seeking an introduction. Looking at this course as exercises to improve my Pandas knowledge, I left disappointed because there was no course Python assignment in implementing a trading strategy.

The proficiency level of English of the instructor is very poor. I don't know about English mother tongue speakers but I reckon that for everyone else the instructor was almost impossible to follow. I had to make hundreds of pauses because I couldn't understand what the instructor was saying and the subtitles are horrible as well. It easily took me x3 the time to complete because of the poor English speaking skills of the instructor.

I have a PhD in econometrics - took this course to see if it would be useful to some of my team - gleans over complex issues way to fast but given the length that is understandable - my issues with this course are (a) the Jupiter notebooks are complete already so don't make students think and (b) there should be a great deal of included warnings with references for students to dig deeper outside of the class