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

Оценки: 24,288
Рецензии: 5,438

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:

4151–4175 из 5,372 отзывов о курсе Introduction to Data Science in Python

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.

автор: Amori H

5 нояб. 2019 г.

Sometimes I just don't know which part of my answer is wrong and why it is wrong

автор: Mario

10 сент. 2020 г.

Great course but a little bit outdated, with some assingments poorly explained.

автор: kavitha m

25 февр. 2019 г.

please give some more material for self learn that would help in assessment too

автор: Jeffrey D B

6 окт. 2018 г.

Solid introduction to the most commonly used data analysis toolchain for Python

автор: Richard M

1 янв. 2017 г.

Great course, it would be nice to have more interaction and feedback from TA's.

автор: Jai c P

28 дек. 2016 г.

course was good but teaching material was not enough to complete the assignment

автор: Swapnil G

13 дек. 2016 г.

Assignments needs slight polishing. Otherwise course delivers what it promises.

автор: Ahmad B S

18 янв. 2021 г.

Very good course. I'd give it 5 if the assignment requirements are more clear.

автор: Alvaro E A G

24 окт. 2020 г.

Hands on projects with a little feedback and a lot support from the community.

автор: kamisetty v H

1 июня 2020 г.

It is a good course but it would be better if they involve some more excersise

автор: Jiaqi

21 дек. 2016 г.

通过这个课程,学习了pandas和jupyter noterbook,都是非常好用的工具。作业很有挑战性,但是遇到问题都是自己解决,助教提供的帮助比较有限。

автор: Timo K

28 апр. 2021 г.

Very good course, but it took much longer for me than the estimated 31 hours

автор: 贺世哲

29 февр. 2020 г.

It's a nice course. But it's quite difficult for me to finish the assignment.

автор: Nihat I

7 дек. 2019 г.

It will be excellet if we can get more resources for learning. Thanks a lot .

автор: Lokesh V

25 февр. 2019 г.

since i'm a new bee to python i am expecting little bit slow of explanations

автор: CMC

9 февр. 2019 г.

Good introduction to pandas. The programming exercises were quite effective.

автор: Juan M M G

28 дек. 2017 г.

Basic course to understand some important element in Data Science with Python

автор: Zargham k

21 янв. 2021 г.

course was good. But assignments are not designed well enough. so confusing.


20 июня 2020 г.

the course videos should be slower and concepts should be explained clearly.