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学生对 University of Michigan 提供的 Introduction to Data Science in Python 的评价和反馈

4.5
27,245 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

TG

Apr 13, 2020

Awesome course! I haven't done any course like this. Explanations were very clear and deep, which is very helpful to learn the content. Thanks a lot to the professor and the University of Michigan.

ME

Jul 26, 2020

Quizzes were very challenging and interesting. I learned alot. The main drawback in this course is that the materials are insufficient to answer the assignments.And some questions were not so clear.

筛选依据:

4376 - Introduction to Data Science in Python 的 4400 个评论(共 5,987 个)

创建者 Zaks L

Apr 8, 2018

Good course - requires a lot of self-learning, but that's not a huge problem. I think we could use a little more support.

创建者 Vaishnavi C

Jun 30, 2017

The course assignments were very helpful in understanding the concepts better while encouraging the students to self-learn

创建者 Marcus

Jun 9, 2017

The assignment is useful, however, the grading does not give much information on the submission except the points awarded.

创建者 Deleted A

Feb 3, 2017

This course will be a great start for people to know about data science with python and get familiar with few simple data.

创建者 Rahul S

Jan 28, 2017

The material seemed a bit hurried at times..but overall a great learning experience and the assignments were truly helpful

创建者 Ozgun K S

Jul 29, 2020

First, classes give you knowledge about topics. Then,

challenging

assignments come which encourages you to learn more.

创建者 Rômulo M

Apr 10, 2017

In my opinion, the assignments problems could be more clearily explained, I think it could be improved for next sessions.

创建者 Jason B

Jan 29, 2022

I. (eg wasting 30mins on df.pivot() vs df.pivot_table()!)Think my next course will be more intermediate level in python.

创建者 JAI K

Jun 16, 2020

The videos could have been more Assignment friendly, as the assignments were tough to crack after seeing just the basics

创建者 Akshay S

Sep 10, 2019

The assignments and the projects touched upon not just the basics. The video lectures could've been a bit more detailed.

创建者 Khoa N

Jul 3, 2018

The pace of the course is fast, need quite a bit of python experience and a lot of study outside of the course material.

创建者 Youdinghuan C

Jan 22, 2017

First two weeks are great. The third week becomes a bit disporportionately difficult. The autograder is very inflexible.

创建者 Geoffroy D

Dec 3, 2016

Good course, going a bit fast on certain aspects but good use of Jupyter and interesting coursework, challenging enough.

创建者 Charles K

Jul 16, 2020

Difficult, but do-able. Recommend having a strong baseline understanding of Python + Jupyter Notebooks before starting.

创建者 Varun C

Jul 9, 2020

I have gained much knowledge of the pandas library from this course.I will forever be grateful to Dr.Christopher Brooks

创建者 Muhammad R S

Jul 2, 2020

This course was very much fast paced.This course is not for beginners but for people who wants to refresh there topics.

创建者 NITHIN M

Jun 29, 2020

Amazing course the basic fundamentals and overview idea of the data science using python is covered in this course.....

创建者 Gerardo D l O

May 7, 2018

Great material, but the lectures go extremely fast and have no external notes. The last assignment is way out of scope.

创建者 Samuel B

Dec 9, 2023

Very good course to get your hands dirty. A lack of clarity in the assignments' instructions leaves students guessing.

创建者 Orkun M K

Aug 11, 2020

Presentation materials and instructor is well. However, assignments are a bit hard and do not have enough explonation.

创建者 Himanshu B

Jul 31, 2019

Good course for beginners but it is some advance thing which asks in the assignments but not covered in video lectures

创建者 Steve B

Jul 16, 2018

Excellent course, auto-grader + assignments can be frustrating at times but other than that all good.

Many thanks.

Steve

创建者 Vipul S

Jun 19, 2018

A good starting point, but as it is explicitly mentioned it doesn't teach much math for stats but overall pretty good.

创建者 Corinne

Jan 15, 2018

Very good assignments and good overview of many different topics. Videos are well made and I'd like to listen to them.

创建者 Aathira S

May 19, 2020

I have moderate base in python and had very less idea on dataframe . This course helped me learn a lot of new topics.