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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
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27,213 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

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

HC

May 3, 2018

It's very useful specially for new learner because it only dives into the part of python that data science need. I strongly recommend to anyone even if you don't have experience in programming before.

筛选依据：

5976 - Introduction to Data Science in Python 的 5986 个评论（共 5,986 个）

创建者 Delight B K

•

Aug 9, 2020

too comprehensive

创建者 Youjong K

•

May 26, 2022

Too difficult

创建者 Haris I

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Sep 1, 2020

Impractical

创建者 King A

•

Dec 2, 2024

bad course

创建者 Andrew K

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Jan 18, 2022

Too quick

创建者 Atheer B A

•

Aug 21, 2024

not good

创建者 Hafiz M

•

Aug 22, 2024

wrong

创建者 JULIO E M G

•

Sep 21, 2021

hjhjh

创建者 Tarun

•

Aug 3, 2020

easy

创建者 Raju C

•

Oct 2, 2023

Bad

创建者 Eren K

•

Feb 1, 2023

ew