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Вернуться к Introduction to Data Science in Python

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

Оценки: 24,688
Рецензии: 5,539

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

9 дек. 2017 г.

Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!

Фильтр по:

4251–4275 из 5,483 отзывов о курсе Introduction to Data Science in Python

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 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.

автор: Haochen W

7 июля 2019 г.

it is a fantastic coursera but the assignment is not relevant to the vedios.

автор: Anjali R

2 янв. 2019 г.

Thank you for educating and expertising us in new topics through this course

автор: Applied M

2 апр. 2018 г.

this coursed gives us a brief idea about data science using python libraries

автор: Churamani P

30 июля 2017 г.

I think a little more explanation from the Professor would have been helpful

автор: Taewon M

25 янв. 2017 г.

It's great course, but the assignments are so hard to data science beginner.

автор: Sameeksha K

6 авг. 2021 г.

There are more functions that can be explained in pandas & especially REGEX

автор: Animesh K

18 нояб. 2020 г.

Good course. Assignments are challenging. Overall good introductory course.

автор: Alonso G L

19 февр. 2020 г.

Great opportunity to learn pandas. Some previous experience is an advantage

автор: Anindita N

23 сент. 2018 г.

good but Statistical analysis part should be more explanatory with examples

автор: Matthew W

8 окт. 2017 г.

Contents are not hard but assignment need more practice and time to finish.

автор: Thibaut L

11 июля 2017 г.

interesting but could provide some mathematical background for further info

автор: Rajib K

12 февр. 2021 г.

I would prefer to have a generic assignments, this is too much US centric.

автор: Tarush B

14 июня 2020 г.

The focus was on self study and that was really a good learning experience

автор: Karan M

23 июня 2019 г.

Excellent course with lots to learn, but also loads of self learning to do