Very clear explaining of the significant aspects when structuring a financial analysis, applicable in many forms of data if you don't want to make predictions only for the stock market.
An excellent beginner's guide to financial statistics using Python's Pandas module. Can be completed very quickly by those familiar with both basic Python and introductory Statistics.
par Prateek J•
More time should be devoted on python syntax used and more models and examples should be included
par Hugo L M•
It did deliver the content it was supposed to, but it could be done in a more slow-paced manner.
par Arnaud S•
Interesting but it is too fast on more difficult topics (specially the last week).
par Shine A•
Great course as a Basic for Data Analysis. Not very in depth analysis of finance.
par Kashyap R•
explanation can be better its some times difficult to understand for a fresher
par Shriya K•
went too fast sometimes. basics were not made clear the course matrial is good
par ANUSHKA G 1•
Some of the material of the course needs to be updated including the quizzes.
par Akshara S K•
For beginners this course would be difficult but I think it's worth learning
par Mehul V•
Many things were left unexplained. A step by step procedure wasn't followed.
par KAUSHIK N•
More explanation were required on the codes, being a beginner level course.
par Jacob R•
Pretty solid course, kind of difficult to grasp at times to a newcomer.
par Roberto C•
No aterriza es algo práctico que pueda utilizar para el análisis
It was pretty hard to understand concepts at the end
par RAHUL N•
No coding based assignments. Not too useful.
par Chaitanya G•
The videos could have been more explanatory.
par Fernando D•
Es un curso para interesados en trading
par sachin t j•
Python codes are not really explained.
par HRIJU S•
its a good learning experience for me
the content is amazing but outdated
par DAWN M 1•
It was a bit hard to follow
par MOHD H•
par Volodymyr M•
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.
par Warren V•
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.
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
Part of the code doesn't work. To fix it it is needed to go to Python documentation and do research
A lot of statistics concept are not quite well explained. The course should include more detailed explanations or at lease some links where the this information can be studied
The results of the trading system implemented in the curse are not the one that you will obtain