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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
27,271 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

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.

DR

Aug 24, 2017

The course is good but the oral explanations are at times very tiresome. A more constructive approach in which the explanations are followed by step-by-step examples whould be far better.Best regards

筛选依据:

4726 - Introduction to Data Science in Python 的 4750 个评论(共 5,994 个)

创建者 Bharath k M

Dec 8, 2019

Good Experience and learning. Overall gained a good confidence!!

创建者 Andrew T

May 25, 2017

There were some gaps that were tough to bridge, but I got there.

创建者 Fan Z

Sep 19, 2020

The course is good in general but the grading system is a pain.

创建者 Daniel

Jul 1, 2020

Falto poner o darle incapie más a fondo a la libreria de pandas

创建者 natalia r

Apr 20, 2020

bastante bueno aunque mucho tema fue buscado independientemente

创建者 Shunjiang X

Jul 8, 2018

Very vigorous course. A little hard but will learn quite a bit.

创建者 Filip J

Sep 1, 2020

It was great but I lack suggested solutions after assignments.

创建者 Igor Q

Jul 6, 2020

great course. I would add more classes about the distributions

创建者 Ananay S

May 19, 2020

Great explained and top level content to learn the skills from

创建者 Shashank S

Sep 6, 2019

Assignment 2 was way too tough, as per the concepts covered :(

创建者 Mark P

Jun 14, 2019

challenging but reading forums and stack overflow really helps

创建者 Deleted A

Aug 5, 2018

It has been an awesome experience, I have learnt a great deal.

创建者 Anudeep A

Jun 22, 2017

The course is properly structured and tutorials are very good

创建者 Gaurav R J

Apr 19, 2017

The teach and assignment are not in line in difficulty levels.

创建者 V V

Apr 1, 2017

hard assignments, lecture was not enough to cover assignments.

创建者 Machine L T

Jan 17, 2022

Las asignaciones duraron mucho más de las 3 horas estipuladas

创建者 Zifeng Q

Nov 13, 2021

Overall good.

Assignment wording could have been more precise.

创建者 Anas A

Jun 20, 2020

Really good course. Just gotta dig up stuff on your own alot.

创建者 Christopher J

Jun 19, 2020

Excellent course, though the interpreter needs to be updated.

创建者 Shivang S

May 4, 2020

Very difficult for those who are new to this numpy or pandas

创建者 Sahil S

Feb 2, 2020

satisfactory,

although last week lectures need to be improved.

创建者 Kartik K

Aug 2, 2019

Bit difficult for one who is not from programming background.

创建者 David B

Sep 16, 2018

Interesting exercise if you're willing to trawl StackOverflow

创建者 Rakesh K M

Oct 1, 2024

The experience was unique and quite fun to be honest,really.

创建者 PRAKASH S

May 1, 2020

There is a lot of scope for the improvment of vedio lessons.