Отзывы учащихся о курсе Introduction to Data Science in Python от партнера Мичиганский университет
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YY
28 сент. 2021 г.
This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.
PK
9 мая 2020 г.
The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans
4326–4350 из 5,666 отзывов о курсе Introduction to Data Science in Python
автор: Haytham G
•22 июня 2020 г.
more elaboration on the videos would be great, coz the 2nd and 3rd assignments are hard.
автор: David S
•26 нояб. 2018 г.
solid explanation of python fundamentals. assignment instructions are sometimes unclear.
автор: Miriam G
•18 мая 2018 г.
A little too fast for my taste, I had to stop the videos a lot to rethink what was said.
автор: Chang-Kuan L
•2 июня 2017 г.
The course is quite challenging on weekly assignments. I learned a lot striving to pass.
автор: Ben R
•10 мая 2020 г.
enjoyed it and it was very challenging.Improved my python skills - more practice to go.
автор: mirza m h
•18 апр. 2020 г.
good course and content but more concept should be added and should be taught in detail
автор: Nikhil G
•30 дек. 2019 г.
The course material is good but the assignments are a bit tough and requires more time.
автор: Aditya B
•7 окт. 2019 г.
I think the assignment checking tool needs improvement. Otherwise it's a decent course.
автор: Salil S
•16 апр. 2022 г.
Files are not imported. Assignments are challenging. Start with an intro course first.
автор: Paco
•23 дек. 2021 г.
Course is great, some assignments (week 3-4) are too long. Still you will learn a lot
автор: Tommaso F
•13 мая 2021 г.
Very interesting. It's a little tought the assignement but you could work on it easily
автор: PARITOSH R
•25 апр. 2020 г.
This course was very helpful in applied learning of powerful libraries such as pandas.
автор: Sikhalo N
•23 февр. 2020 г.
This is a great course for those interested in getting started with data manipulation.
автор: Bruno T
•5 окт. 2017 г.
Exercises too dificult, and demands too many thing which are not learned in the course
автор: Partha P M
•16 мая 2020 г.
I like how efficiently described here the Pandas and Numpy library.I enjoyed it a lot
автор: Vishal P
•11 сент. 2019 г.
A Good Course for Anyone with a Minimal Programming Knowledge to Start up with Python
автор: JIE T
•20 сент. 2018 г.
It's really helpful. While to do the assignments ,we have to learn a lot after class.
автор: Sakshi J
•21 авг. 2018 г.
Really enjoyed the course and specially the assignments enhanced my course knowledge!
автор: AYUSH S
•25 июля 2018 г.
Great course for a beginner.
Good pace of teaching.
Best at x1.50 speed.
Good exercises.
автор: Ketan L
•31 мая 2018 г.
Assignments are really good and you need to apply enough functionality to solve them.
автор: Augustine O
•20 авг. 2017 г.
Great course, affords you the opportunity to learn and to find solutions to problems.
автор: Christopher L
•27 июля 2017 г.
great introduction to the basic building blocks behind data manipulation with pandas.
автор: will r
•16 мая 2021 г.
Helpful material, however the lab questions could be better written. I learned a lot
автор: dhruv_999
•18 мая 2019 г.
The Course is well designed for intermediates and level of assignments is also good!
автор: Soumyakanta S
•4 авг. 2018 г.
Course with good contents, which is needed for advancing data analysis using python.
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