Great course! Very didatic explanations about financial and statistical concepts also with some interesting practical Python for Finance! Looking forward for new courses from same Univ. and prof.!
A very good introduction course to python programming and it has a perfect combination with statistics, which makes financial analysis more interesting and refresh my mind on it, thanks.
par Đan T L•
Interesting and easy to understand for people with basic background or have basic knowledge about finance or statistic. However, I wish some of the videos may have explained more about how to use the data to solve real life issues. Even though some of the practices may explore it, it appears not deep enough for me
par Alexander D•
This is overall a good course; it is well explained and very quick. However, it would benefit with assigning more exercises or ensuring that the labs are more interactive. In this topic, practice makes perfect and is very necessary. Also, the quizzes require clicking on links that do not work.
par Miranda G•
Good course but I think that economic concepts should be explained in more depth so that we can work better on Jupyter (which is a great way to teach / learn). I also think that more written material with illustrative examples could be included, not just lines of code that generate results.
par Cesar D•
Course content is valuable from Statistics applied in Python code. Unfortunately, it didn't give enough examples or use cases for Financial Analysis. I'd like to see more stocks market predictions, studies and models using the Statistics concepts explained on this course.
par Eduardo F R•
It has wide explanation of statistics basics on the other hand the model development with python applied in finance has too few examples. I would also suggest data acquisition with Yahoo Finance or Google to be explained as it is widely used in financial analysis.
par Mingyue W•
Tough for a person not familiar with statistics and completely new to python. Would have been good to provide more basics to python as well. However, i would believe it'll be very beneficial for one who has already strong foundation in statistics to follow.
par Sushil K•
first and 4th week was fun and relevent. but the 2nd and 3rd weeks were quite difficult to understand and also lack clarity of what we are learning is how that is going to relate in the trading programming.
par William B•
Could have done with some more opportunities to write pieces of code in different scenarios; many of the notebooks consisted of just running the prewritten code snippets in order and observing the effects.
par Ricardo P•
Overall good course but needs to clean/improve some of the code/quizes to be consistent. Does not explain Statistics or financial models well but shows basic idea of how to find/use them in Python.
par YI L•
Videos are not really connected to the practice. Some finance and statistic stuff is simply mentioned and directly used without enough explanation. I finished the course with help from Google.
par Abhay N•
This course is good for someone familiar with the concepts of statistics and linear regression. However, for a complete beginner, it's a little difficult to understand everything taught here.
par Anand S•
This is a course more for statistics than python. All we understand is how to use the Python libraries and their functions to compute statistical data.
par Michael O•
It's kind of hard to understand to understand the lecturer/professor, but the course material is interesting. I was hoping for a little more programming in Python though!
par Ketan V•
The video tutorial could have been better, however the notebooks and quiz were perfectly prepared and were instrumental in verifying our understanding of concepts.
par Sagnik S•
this course is really good course to understand python programming
1.you need basic and intermediate knowledge of statistics
2. basic knowledge of finance
par Andres M M•
I think the most valuable part of the course is in week 4 but It was rushed by fast
explanations and I was hoping a better pace in these important topics.
par Shashank G•
The course was a bit fast-paced and explanations could be more lucid and elaborate. Please increase the number of modules and provide more practice sets.
par Lisa W•
It's not bad, but it's not great either. I guess it works as a good starting point for further research, but the content is pretty general.
par Mridul w•
Overall a great experience but was not having a finance background so using these stock market terms for the first time was a challenge.
par King Y C•
The course is somehow overlapped with the course ISOM2500.Moreover,i do not think that I have really learned a lot regarding Python.
par Lui M C•
A per-requsite of statistics is required. One should review the basics of statistics before taking the course. Pace is too fast.
par Sui W T•
It's a bit difficult for students who have no either coding or statistic background to understand the content of the course.
par Christopher B•
Overall pretty good, somethings are pretty much just glossed over and you have to figure out yourself or just plain skip.
par Sam N•
Do not recommend. Try other courses that specify on the individual topics rather than skimming over all 3 !
par Wynona R N•
Good course! It will be better to put more challenging questions as a practice in the jupyter notebook.