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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

4.5
25,910 个评分

课程概述

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....

热门审阅

YY

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.

PK

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

筛选依据:

5276 - Introduction to Data Science in Python 的 5300 个评论(共 5,721 个)

创建者 Ryan S

Nov 22, 2017

homework format of outputting values from functions needs to be improved

创建者 Abhishek P

May 10, 2020

Course way too easy and has quite less information/knowledge to offer.

创建者 Shivam P

Jun 26, 2020

The assignment is too difficult compared to what they teach in course

创建者 tushar s

Jun 20, 2020

Not providing in-depth knowledge of functions through video lectures.

创建者 Chirag S

May 18, 2020

Expected a detailed explanation instead got a very brief explanation.

创建者 Christopher C

Mar 30, 2020

Only a few resources. Each Jupyter Notebook lack context and comments

创建者 Stefani N

May 29, 2018

I think the assigments are a bit difficult for an introduction course

创建者 Jaepil L

Mar 26, 2018

nice intro, but requires background knowledge and self-study,,,,a lot

创建者 Thanasis M

Aug 26, 2017

Very handy exercises, but the lesson lacked in examples and guidance.

创建者 Cunquan Q

Mar 11, 2020

Too quickly for me! I need to stop and type the codes on my laptop!

创建者 nitish k p

Jun 15, 2020

the course should be updated and assignment questions are unclear

创建者 Azadeh T

Jun 8, 2020

The assignments are waaaay more difficult than the class material

创建者 Subiksha P

Jun 3, 2020

Last week assignment involved topic which was not taught in-depth

创建者 Torsha M

Sep 4, 2020

It has helped in building data structure and understanding of so

创建者 riffault f

May 12, 2019

I would like to have more precisions during the video courses

创建者 Tan L M

May 13, 2020

Course assignment is not on the same level as content taught

创建者 Alessandro M

Jul 28, 2020

Very good assignments shame the video lessons are very poor

创建者 Asheesh L

Jan 28, 2019

Course was ok. Submission of assignments is really painful.

创建者 Rounak C

Apr 28, 2020

Amazing content but needs to be a little more structured

创建者 Giorgi B

Apr 19, 2017

Much more difficult assignments than taught in lectures

创建者 Swathi P P

Jun 2, 2020

this course could have covered much more deeper topics

创建者 HIMANSHU S

May 29, 2020

Its very useful for me. thank you so much for help me.

创建者 Viren S

Jun 7, 2020

Need basics to be cleared before entering this course

创建者 Galen S

Sep 26, 2017

Thought assignments could have been better designed

创建者 Michael T

Dec 27, 2016

To much disconnect between assignments and lectures