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学生对 密歇根大学 提供的 Introduction to Data Science in Python 的评价和反馈

26,491 个评分


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....



May 9, 2020

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


Sep 28, 2021

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.


5626 - Introduction to Data Science in Python 的 5650 个评论(共 5,807 个)

创建者 Nishant B

Jun 13, 2018

Very fast paced and concepts explanation was not upto the mark

创建者 OdmaaByambasuren

Nov 5, 2020

Too general. I was expecting more to learn from this course.

创建者 shailja

Jun 1, 2020

very tough tutorial is easy but assignment are very tough.

创建者 Sean E O

Nov 5, 2022

Assumes a fair bit of underlying knowledge prior to start

创建者 Satyam c

May 25, 2020

assignments are tough. didn't expect too much high level.

创建者 Shivani P

Jul 9, 2019

The lectures were not enough for the assignments provided

创建者 Alejandro P A

Dec 22, 2017

Good content but too fast pace and confusing assigments.

创建者 Camilo E A P

Aug 27, 2019

Jupyter notebook for assignments do not work properly.

创建者 Sayali B

Jun 20, 2018

The questions are very hard and not covered in training

创建者 Deepalakshmi K

May 23, 2019

Dint teach anything used in the assignments properly

创建者 Abdullah B

Sep 10, 2022

Not enough resources to solve the assignment.

创建者 Joao V O C d B

Jul 27, 2020

The problem is the lack of practical exercises

创建者 Christalin D

Jun 21, 2020

It's asking for money to continue the course

创建者 Hari S S

Jul 30, 2020

A bit more motivation needed in this course

创建者 W N

Nov 27, 2016

Good material, let down by instructors.

创建者 laxmi n r j

Sep 3, 2017

Its too fast paced and less elaborated

创建者 Heike M H

Mar 10, 2022

Not suitable for beginners in Python

创建者 Alexander K

Apr 14, 2020

Nothing new. I recalled what I knew

创建者 Stefano M

May 27, 2019

The lessons were too fast and dense

创建者 Daniele

Mar 1, 2018

Theory is not related to exercises

创建者 김민섭

Apr 27, 2020

Good materials, annoying grading.

创建者 Nachiketa N

Aug 21, 2020

Should have been more detailed


Sep 11, 2020

Better reading a pandas book.

创建者 Yaron L

May 25, 2021


创建者 zhangzhongquan

Nov 12, 2017

it's not very good