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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
27,213 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:

5776 - Introduction to Data Science in Python 的 5800 个评论(共 5,986 个)

创建者 Alakesh B

Jun 9, 2020

Lectures were not clear and too short. A lot of external study is required

创建者 Cunyuan Z

Jul 9, 2019

Lectures are useless. But the assignments CAN BE pretty good practices

创建者 Jair G

Jan 13, 2018

I felt lost using Python as a data analysis software with this course.

创建者 yunxin y

Dec 2, 2021

Too difficult as it was largely self learn + memorization, unguided.

创建者 Louis c Y

May 16, 2022

quite challenging to understand with lecturers assuming you know all

创建者 pouya g

Jul 1, 2019

the corrector system was very bad and i m not undrestod my mistake

创建者 Hussain

Apr 30, 2020

Very fewer video lectures and I felt Assignments to be very hard

创建者 Rishi B

Jul 22, 2018

I found the teacher boring, but his teaching was a little fast.

创建者 Akansha M

May 31, 2020

for an introduction course it was just too much to understand.

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 Alex 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 Chris H

Mar 22, 2023

not practical - no student interaction. just videos

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.