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

4.5
stars
22,725 ratings
5,093 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

AU
Dec 9, 2017

Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!

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4551 - 4575 of 5,016 Reviews for Introduction to Data Science in Python

By Dr. A J

May 4, 2020

Content was good, instructor was very knowledgeable, but his methodology of teaching was not good. He was very fast.

By Arju A

Apr 2, 2020

Things required in assignments could be mentioned.

If language could be made a little bit easier, then it would help!

By Papa K B O

Jul 7, 2020

Even though this is an intermediate course, the tutorials were really really quick it was hard to sometimes follow.

By Priyabrata R

Jan 13, 2020

It will be quiet difficult to learning panda with this little sort of introductions. and specially as a new comer

By Mayank J

Jul 17, 2020

Giving three stars only because of the excellent quality of the assignments. Though video lectures are mediocre.

By Divi A K

Dec 16, 2019

Need a clear documentation or basic methods used in numpy and pandas at single place to have a future reference

By Ty C M

Oct 22, 2019

Even after taking the beginning course before this, I felt like this course assumed you knew python beforehand.

By Adi.Vamsi S

Dec 12, 2018

It's good but I'm unhappy with the programming tutorials ie. Jupiter note book section no explanation is given

By Katia B

Nov 24, 2018

The auto-grader is a bit of a pain. But forums were very helpful and generally the assignments are interesting

By Yash M

Jun 13, 2017

The course is fine but not upto the mark. Assignments are much difficult as compared to teaching in the videos

By Hussain M

Jul 6, 2020

Could be more inclined toward basics! and assignments were very good regardless of the topics not covered!!!!

By Daniel P G

Jan 11, 2018

The teacher and lessons are excellent, but the auto-grader has some issues and doesn't give enough feedback.

By Aastha K

Sep 4, 2020

It was quite informative but I found the assignments a little difficult. had to spend a lot of time on them

By Aditya M

Jul 7, 2020

Please give the functions which will be needed in the programming assignments in the hints in the notebook.

By Tianyu H

Dec 19, 2019

Pace too fast. Sometimes the explanation is unclear about the syntax and functions. Not good for starters!

By ARUNDHATHI N S

Aug 3, 2020

It was a bit tough to follow.The instructions were hard to grasp.Could have included more basic concepts.

By Abdul A B A R

Jul 30, 2019

The explanation was very brief. Not much detail explanation and example. Need to explore more by myself.

By You W

Feb 4, 2018

submitting homework is a pain and even the same answers are marked wrong sometimes... a bit frustrating.

By aurelien l

Jun 2, 2020

I would love to get corrections of the assignments once it's passed to see if my code could be improved

By Vatsal K

May 21, 2020

The instructor doeesn't explain in detail each topic so we have lot of difficulties in the assignments.

By Bettina A

Mar 23, 2018

A lot of great information, but the information is sped through so quickly it gets kind of frustrating.

By DAHOU M

Sep 27, 2020

It's nice all the weeks were great but the last assignments wasn't really clear and hard to understand

By Ronald F M S

Aug 16, 2020

los examenes no estan siendo correctamente diseñados o estructurados para llegar a la misma respuesta.

By Dannis C

Mar 29, 2019

Very fast paced, you definitely need to have a solid background in Python and the different libraries.

By 卢雅丽

Jan 20, 2019

many functions were not included, so I have to look up many other materials to finish the assignments.