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Отзывы учащихся о курсе Introduction to Data Science in Python от партнера Мичиганский университет

Оценки: 24,665
Рецензии: 5,537

О курсе

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python....

Лучшие рецензии

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

15 мар. 2018 г.

overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .

Фильтр по:

4201–4225 из 5,482 отзывов о курсе Introduction to Data Science in Python

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: Tommaso F

13 мая 2021 г.

Very interesting. It's a little tought the assignement but you could work on it easily


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.

автор: Jaime M

12 мар. 2018 г.

Some assignments are ambiguous because the corrector is not updated...

But i like it.

автор: Max R

7 июля 2017 г.

Moves at a good pace with clear explanation of concepts and mechanics of tools used.

автор: Md. M H

10 окт. 2020 г.

It's a nice course to learn both Python and data science. Thank you Michigan teams.