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

4.5
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Оценки: 24,558
Рецензии: 5,516

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

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

SI
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 5,462 отзывов о курсе Introduction to Data Science in Python

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 B

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.

автор: Anurodh M

24 июля 2020 г.

The assignments were little challenging and more of external learning was required.

автор: Stanley M

29 июня 2020 г.

The instructions were too fast. The assignments were really demanding but helpful

автор: wwwangxinyi

29 мар. 2020 г.

More detail needs to be found outside of the class. But the class is still helpful.

автор: Moshe H

15 окт. 2017 г.

Very good course

Just I found that the coursework took way beyond what I catered for

автор: Kishaan J

16 апр. 2017 г.

Gave me a thorough understanding of Python and Data Science. Thanks to the team! :)

автор: Bidhan A

25 мая 2020 г.

Course was good, as it gave overview of basics, but I think, more could be taught.

автор: Praphon K

10 дек. 2019 г.

Good course structure and more getting insight to apply to real case data analysis

автор: Akshay G

29 июня 2019 г.

The course is well organized and the content is excellent. Try to keep more videos

автор: Bhawani P M

7 мар. 2018 г.

Great course to start career as a data scientist. Crisp, clear and concise course.

автор: Jiunjiun M

30 янв. 2018 г.

Homework should be better designed to provide more specification and better hints.

автор: Shubham P

12 февр. 2017 г.

Please make longer tutorial videos. Sometimes it becomes too fast to cope up with.

автор: 김민욱

26 июля 2020 г.

I think that if you give more guide for programming assignment it would be better

автор: yash m

8 мар. 2020 г.

This course has some really great exercises that aim to give practical knowledge.

автор: Jan P

18 дек. 2016 г.

I recomend

Introduction to Data Science in Python

it is a good piece of knowledge

автор: Jarin t t

31 авг. 2020 г.

The course content was really good, but the assignments seemed much hard for me.