AT
May 21, 2020
Excellent course materials, especially the videos, with content that is thoughtfully composed and carefully edited. Very good python training, great instructors, and overall great learning experience.
VV
Aug 2, 2020
Great course to learn the basics! The supplementary material in Jupyter notebooks is extremely valuable. Really appreciate the PhD students who took the time to explain even the simplest of codes :)
By Jo L
•Apr 20, 2020
Helped me understand some basic concepts of statistics, and insightful.
By Gabriel M
•Jan 15, 2021
Could have used more python assignments or unfilled labs in week 4.
By Inti L
•Apr 3, 2020
Great Introduction Course to statistics concepts and python!
By Devina D
•Jul 10, 2021
It was good overall. A bit fast-paced, but it was good.
By Akshit A
•Sep 19, 2020
Assessments too easy. Course material was good though.
By lokesh k
•Jul 28, 2020
Very good starter course for statistics using python.
By Nero
•Aug 5, 2022
Good introduction course to statistic for beginner
By shebl m
•Dec 12, 2022
very good course content and very good learners
By Md. M H
•Jul 10, 2020
Pretty good to learn, have greatly enjoyed it!
By Joy C
•Feb 14, 2022
A good foundation for Data Science program.
By Felipe B
•Jan 14, 2020
Pretty interesting and well paced course.
By Gerard C
•Jul 7, 2020
Helpful introduction to the topic
By Mahmoud H
•May 31, 2020
half of week 4 is almost a trash
By Angelo M
•Apr 25, 2021
I don't like the last week.
By Joffre L V
•May 25, 2019
Great course, excellent!!!
By Teerthangkar B
•Jul 26, 2021
Very good and insightful
By DHRUV D
•Aug 23, 2020
Very nice Course
By k k
•Feb 24, 2020
excellent course
By aditi a
•Apr 26, 2020
Worth Learning
By Liu M
•Jan 13, 2020
great course
By Ata M
•Feb 1, 2019
nice effort
By Elvan V
•Sep 30, 2020
Keep it up
By 黄å˜æ˜•
•Jun 2, 2021
not bad
By Mikel A
•May 14, 2020
In overall the course is good. However, there are some issues that could be improved, as for example:
- Using the NHANES database is come cases is not the most effective as you can spend some times trying to indetify or search for the variable they are asking for. Better instructions or the use of a simpler database could be an alternative.
- Some videos could be improved. There are compilation errors in the Python demostrative videos, in some other cases previoulsy not-explained functions are used (while similar functions already known by the alumn are available) or Python 2 functions are proposed (the course should be oriented to Python 3).
- I found that both parts of the course (stats and programming) are not always perfectly coordinated.
Despite these issues, the course is good and I will go to the next course with them.
By maytat l
•Jul 8, 2020
Overall good but still have rooms to improve. I knew so little about statistics and Python. The concept is quite difficult but relatively new unlike other typical statistics courses offer. Practice assignments are very good but difficult. More guidance of Python libraries usage would help. Passing assignments were too easy. Strong foundations of using Python especially in libraries such as matplot, numpy, panda, seaborn would really help to better understand the concepts with a graphical presentation in Python. I would recommend this course for those who are familiar with those Python libraries already. For me, I need to learn more about those and would revisit the content here again to better grasp full understanding.