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

4.5
stars
26,928 ratings

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

CB

Feb 6, 2023

The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.

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

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801 - 825 of 5,921 Reviews for Introduction to Data Science in Python

By Max R

•

Jan 4, 2017

Very well prepared course, good quality video and audio too (some of the older courses have crappy audio)... this class gives you enough information to allow you to research and attack new problems on your own

By Robert M

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Jun 28, 2021

The homework was challenging. Sometimes the question didn't seem quite clear. But the forums were a HUGH help - lots of great hints and some partial solutions that let you know if you're on the right track.

By Mark

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Jun 28, 2019

Excellent course, challenging assignments, the lectures go through material quickly, but they're efficient. This course requires a lot of external research, which is good in my opinion because it's realistic.

By Pankaj K M

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Jul 6, 2020

the course is been really helpful to learn several python libraries like pandas,numpy,scipy etc that are widely used in data science so far hence the overall course was really awesome. Thank you Coursera. :)

By SaketKr

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Jul 11, 2018

It was seriously an awesome experience, I got to learn about so many new concepts and with a bit more of practice, I feel a lot more confident. I can't thank enough to Coursera, and I'll be grateful forever.

By Arian J

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Jan 4, 2018

The course is overall good but it's in a fast pace and the instructor is teaching very fast. However, the well designed assignments made it possible to perceive all the necessary materials you need to learn.

By gurtej s

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Apr 2, 2019

it's huge help to learn about data science in python,everything in this course is knowledgeable,i get to know about lots of thing about Data science and python which help to increase my knowledge .Thank you

By Spring D

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Oct 27, 2018

This is a new user friendly course. I learnt the skills needed to fulfill basic data manipulating project from almost zero and felt a great sense of achievement when I eventually finished the final project.

By Rami K

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Dec 8, 2016

I really like this course, it is a good kick off to learn and practice Pandas. The assignments are more difficult than the avg assignment in coursera courses which I think made this course more productive.

By Paul F

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May 10, 2021

The assignments are very well considered, ensuring the student must apply everything that that is taught within the course to their solution; engendering a genuine sense of accomplishment - once completed.

By Pa O C

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Sep 5, 2020

One of the best online courses I have taken. The assignments were a true test of grit and resolve and I felt that Data Science was not meant for me as some point but Kudos to the community for being there.

By Lucas d S M

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Jul 14, 2020

It's a very good course. I had few issues only understanding some concepts which I'm not familiar with, mainly stats concepts. This course for opened the way to continue studding much more in data science.

By Elena C

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Apr 13, 2020

It was very interesting introductory course to Data Science with Python. It helped me learn about the Data Scientist profession and what it would entail to transition into this field within the workforce.

By Justin W

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Apr 15, 2018

The assignments are great, but many needed knowledge is not covered in the lectures. I believe this is by design and recommend re-balancing the lectures by covering more needed skills to solve assignments.

By Amogh M

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May 7, 2017

This course is great but you have to be a good self learner and explorer as it is very difficult to catch up with the speed of the course. The content they tell is not enough but is great for a self start.

By Hammad U D A K

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Aug 29, 2021

The course was taught excellently. I do however will recommend that from week 2, there should be more pop-ups for question-answers like we had in week 1 to help us keep up with what is being shown/taught.

By Chang-un P

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Sep 18, 2020

it's a little bit daunting class even though I finished Python3 Specialization. However, it's extremely helpful if you want to build solid knowledge and skills needed for the real world jobs. Great class!

By Giulio S

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Jul 22, 2020

Great course if you are already familiar with Python but never used Pandas and never worked in proper big data - data science fields. Definitely recommended if you want to see how data science looks like.

By Xiaofeng Z

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Jan 19, 2017

It is not easy for me to complete this course but I learned A LOT! It is truly beneficial if you don't give up. Yes you need to search a lot of python skills online to complete the programming assignment.

By Nguyen T A

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Jun 20, 2023

Very good course. The assignments were actually hard to do for a beginning level like me, but through this I have learnt too much knowledge and know how to apply these knowledge into real world problems.

By Alexandra P

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Mar 3, 2020

Great teaching material. Interesting exercises. Very good teachers, it was a pleasure to watch and listen them. The automatic feedback after the assignment checking helped me to correct and submit again.

By Paolo G H

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Apr 19, 2019

I am quite unsure of where to send a mail to express my gratitude for the scholarship. As such, I guess this may be a good venue for it. Thank you for the scholarship Coursera and University of Michigan.

By Aaron M

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Dec 3, 2017

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introduction to data processing in Python, looking forward to the next course in the specialization.

By Ryan W

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Jun 13, 2017

Great course. Heavy on Python so if you're like me and are rather new to Python, there is a bit of a learning curve. But, the resources are great and I feel very confident with my python/pandas skills.

By Guokai C

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Feb 5, 2021

It was a challenging, time-consuming and difficult course, but the course itself did help me understand a lot about pandas library in python. It would better if the course can extend into 5-week course.