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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: 25,107
Рецензии: 5,603

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

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.

Фильтр по:

4226–4250 из 5,551 отзывов о курсе Introduction to Data Science in Python

автор: Najmeh R

4 июня 2017 г.

The videos are not so comprehensive! but by doing exercises, your coding skills will improve.

автор: Prabhant S

2 мар. 2017 г.

the content was more focused on just pandas library

couldve included matplotlib and scipy also

автор: SADU R S R

27 июня 2020 г.

To learn the basic level, this type of approaching is very good and it is done user-friendly

автор: Ashik S

2 мая 2020 г.

Could be more basic for me it was hard to grasp some concepts but somehow did it . Thanks :)

автор: Dmytro S

5 нояб. 2017 г.

Extremely good, however requires a much more time and patience than specified (estimations).

автор: Sairaj S

27 июля 2020 г.

Good Course but lack of documentation and theory part is less difficult to solve assignment

автор: Kanav G

5 июля 2020 г.

Takes a lot more than the written 16 hours, but overall a good foundation for data cleaning

автор: Vinicius A d O

7 мая 2020 г.

Some problems in auto-grader make the experience be 90% awsome. Besides that would be 100%.

автор: Vishal V

13 мая 2019 г.

There is more stress on Data Science aspect. some basics of Python should also be included.

автор: Yogesh B

23 апр. 2018 г.

The course is very extensive and challenging , the assignments are too good for a beginner.

автор: Mani A

15 апр. 2018 г.

An excellent course except in the last Week in the last video. The material is not obvious.

автор: Vladimir S

20 июня 2017 г.

a very good introductory course for learning pandas and basic data manipulation with python

автор: HECTOR L O

14 февр. 2021 г.

This course was awesome. Different and challenging, I learn a lot so, thanks to the team.

автор: Bimarsha K

21 мая 2020 г.

Lectures are shor but effective. The assignments and projects helps more in self learning.

автор: Md. A H

8 мая 2020 г.

Very useful course who are interested in Data Science. This is gonna be a very good start.

автор: Nathalie P

3 мая 2020 г.

Muy buen curso! Se torna difícil si no tienes bases de programación! En general muy bueno!

автор: Bhanu B

15 нояб. 2019 г.

It is very well structured, but it could be better. The lecture went in a very fast phase.

автор: Rajdeep G

18 мар. 2018 г.

Good introduction to Python and Pandas. Well-crafted exercises to build skills with Pandas

автор: Andreas A

3 июля 2021 г.

Advanced assignments. If you are a beginner you will definetly struggle to complete them.

автор: Sichong S

1 июня 2021 г.

the comments on the assignment with mistake should be more readable, others are all good.

автор: Winston H

6 июня 2020 г.

This course is very challanging. But when you got the certificate you also imporve a lot.

автор: Prajwal W

25 мая 2020 г.

You have to read many topics from outside the course material to complete the assignments

автор: Javi

8 мая 2020 г.

Course contents great. Autograder and notebook not so good as pandas version is outdated.

автор: Shiang-ping H

22 февр. 2019 г.

Great Introduction course into Python+Data Science. A lot practical tips and resources.

автор: Haytham G

22 июня 2020 г.

more elaboration on the videos would be great, coz the 2nd and 3rd assignments are hard.