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Learner Reviews & Feedback for Introduction to Data Science in Python by University of Michigan

4.5
stars
24,293 ratings
5,441 reviews

About the Course

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....

Top reviews

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

SI
Mar 15, 2018

overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .

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5201 - 5225 of 5,374 Reviews for Introduction to Data Science in Python

By Manya A

Jan 31, 2017

Too much focus on databases and database operations, rather than data science.

The assignments are too difficult for a 4 week course.

By MAHESWAR N

Jul 28, 2019

Assignments were not clearly documented, causing lot of time spent in understanding the requirements than implementing a solution.

By Dilpreet S N

Apr 2, 2020

The course is very fast-paced and explanations are not clear neither detailed, it looks like instructors are just doing formality

By Sarah S

Mar 30, 2021

This is a poorly taught course which tells you to go away and teach yourself data science rather than teaching you data science.

By Abhishek c

Jun 7, 2019

The learning is very fast paced.It seems like the trainer is in hurry.He just touched some keyword without going into details.

By Kush S

May 20, 2020

The instructor is very fast and assignments are very tough. Their is huge difference between the course and the structure.

By Shrey S M

Jun 17, 2020

Pretty difficult course I would recommend the instructions to be more clear and assignments a little more easier .

By Abhimanyu S

Apr 9, 2020

Videos are too fast and the assignments are barely dependent on the videos. Had to spend a lot of time on Google.

By Yiren J

May 15, 2017

The materials are great, but the pace is too fast, I can hardy catch up. Really need to slow down a little bit.

By Apurv G

Mar 31, 2020

2 stars only for the great assignments. Whatever I learnt in this course is through google and assignments.

By Sofia R

Jul 25, 2021

The course is not gradual. Especially the fourth assignment is too difficult in relation to the course.

By Shahar M

Nov 19, 2017

The lectures are much too concise, practice is scarce which renders an overall frustrating experience.

By Cecilia G M

Mar 7, 2017

Need clearer examples and explanations. Slides summing up concepts or used functions will be great.

By Dirk

May 28, 2019

Do you want all the fun sucked out of Data Science! This course's autograder will do it for you!

By Burak C

Jan 24, 2021

At times the assignments are more confusing than teachin, especially for non-english speakers

By Jordan T

Aug 18, 2020

Good course but somethings are not explicitly stated when it comes to the exams and quizzes.

By naman s

Jul 31, 2019

faculty not that good as compared to my last course's.Charles severance was a great teacher.

By don't m

Jun 9, 2020

I didn't find it good, it's pretty much straight forward with no explanation as such..

By sparsh d

May 2, 2020

Instructor hardly teaches anything and gives you the toughest assignments to do.

By Scott L

Apr 16, 2020

Pointless course. They teach you very little. Google is your actual teacher.

By Ridhi G

Feb 2, 2018

the level taught in the course did not match the level of given assignments.

By Alakesh B

Jun 9, 2020

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

By Cunyuan Z

Jul 9, 2019

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

By Jair G

Jan 13, 2018

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

By pouya g

Jul 1, 2019

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