Pros: Learn some python code and review statistical knowledge (SLR, MLR)

Cons: The python code is outdated and may not usable. So time consuming to update the code.

For Example: pd.DataFrame.from_csv(..\...\AAA.csv) which is commonly used in the course

It is not usable as DataFrame.from_csv has been replaced by pd.read_csv(r'...)

Also for loc has significant changes

Overall the course is good for teaching the basics of financial data analysis using python, however when the more technical areas are taught, the Jupyter labs are pretty bad at explaining stuff and helping you understand. You also can't reopen the labs and the code won't run since it accuses it all from a data folder. There are also a lot of spelling mistakes.

The statistics element is basic and there is very little practice coding with Python. Instead, it is more of a demonstration how Python can be used to implement some regressions and basic trading strategies. Informative in showing this, however overall a bit disappointing as there was less Python learning and practice as anticipated/advertised.

The course is trying to cover multiple area of skills (python, statistics, and financal analysis) in a short period of time. It might be difficult for people who do not know much computer programming experience to follow the Python part. Vice versa, it might be difficult for people to pick up much financial concepts as an amateur.

It's very hard to follow what the instructor is meaning. I dont agree with some mathematical definitions he states as learned by other methods (estimators as aleatory variables to determine the best estimator). It is the first time that heard of "degrees of freedom". I wish placing more focus on Python than in statitics.

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

I'm not sure for whom this course is dedicated. To undestand what's going on here you have to know statistics' topics and some Python libraries. This course is showing (not explaining, just showing) to you how to use your statictic knowledge in Python libraries whiches you have to be familiar with.

The course is helpful but they trick you, before taking it they say it’s free, when you’re done they now want you to purchase it, like why make a fool of people because you should indicate from the word go that you pay, now I’m stuck I can’t get my certificate because I don’t have the money to pay

The pace is too fast and instructor speaks rapidly and can hardly catch what he is talking about without the subtitles, not to mention the new terms and concepts, esp for those non-Stats learners.

Too many typos in the course notes and lab exercise.

Many sleepless hours to pass this course. :)

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.

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.

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.

Mixed opinion for this course: is a good introduction to Python, statistics and econometrics, and you actually learn something. But sometimes it asumes you know things that weren't explained before, the exams contain some errors, and the explanations are not always good.

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.

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.

No profundiza sobre ningún tema, es más bien un curso introductorio de estadística y finanzas, utilizando phyton para programar, pero al no tener un soporte más robusto de algunos temas de phyton, es difícil volver a replicar lo aprendido

Lots of links did not work even in quizzes. Useful information on complex topics. Very fast paced. Labs were well made until they started not giving you clear instructions to follow. Satisfied, but definitely could use some updates.

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.

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.

Easy to follow and interestijg in content for starters, but the theory part is a little bit scarce. Larger lectures with more detail would have been a plus. Other than that, the course is intuitive.

The course has some bit of technical problems, for example in the quizes most of the links are not working so you have to guess the answer. Other than that, a good introduction to python statistics.

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.

Great combination of applied Python and theory yet the theory is sometimes explained too hastily and I did have trouble to follow without stopping to research the topics and definitions mentioned.

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.

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.