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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: 25,766
Рецензии: 5,734

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


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.


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

Фильтр по:

4326–4350 из 5,685 отзывов о курсе Introduction to Data Science in Python

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.

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: Salil S

16 апр. 2022 г.

Files are not imported. Assignments are challenging. Start with an intro course first.

автор: Paco

23 дек. 2021 г.

C​ourse is great, some assignments (week 3-4) are too long. Still you will learn a lot