Chevron Left
Back to Introduction to Data Science in Python

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

4.5
stars
27,080 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

YH

Sep 28, 2021

This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.

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.

Filter by:

826 - 850 of 5,951 Reviews for Introduction to Data Science in Python

By Alexandra P

•

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

•

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

•

Dec 3, 2017

W

o

u

l

d

b

e

5

/

5

I

f

I

t

w

a

s

n

'

t

s

o

h

a

r

d

t

o

m

a

k

e

s

e

n

s

e

o

f

t

h

e

a

s

s

i

g

n

m

e

n

t

q

u

e

s

t

i

o

n

s

s

o

m

e

t

i

m

e

s

!

O

t

h

e

r

w

i

s

e

g

r

e

a

t

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

By Ryan W

•

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

•

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.

By Akash R

•

May 20, 2020

It Was a lot fun.... And the way to do Assignment and submit is good.. but it can be little bit more flexible if we can get a insight of what we have to achieve so we can check ourself before submitting

By Darryl C L W

•

May 17, 2017

This source has been proven to be very useful during my data science internship. I was doing tasks for data wrangling which require heavy pandas syntax and this source has provided me with exactly that.

By MARKANTI B S

•

Jul 30, 2020

The assignment are so good.They gave a good practice to me. The content of the Course is moderate but I loved a lot in completing the assignment and they gave knowledge how to use the python libraries.

By Jefferson R

•

Jun 21, 2020

I like the way the teacher explains. English is not my native language but I could understand almost all topics and now I'm happy with the new knowledges about python, pandas, numpy, data cleaning, etc

By Kai-Jun S

•

Aug 15, 2018

Comprehensive and challenging learning experience to achieve the data manipulation skills with python as much alike in real world scenario, strongly recommended for practitioners in data science field.

By Konstantin P

•

Dec 18, 2016

This is great course! I liked balance between theory and practice. And also tasks are covering something that is out of the week material, but can be easily found in the web (with provided suggestions)

By Hsuan-Yu C

•

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.

By Ahmed M

•

Sep 25, 2017

This course is extremely challenging for me I was practicing data wrangling with R which is not a lot different in concepts but it gets very tricky especially with indexing.

Thanks for the Experience!

By KAMEPALLI B 1

•

Jul 18, 2022

An excellent course offered by the university of michigan which provides the basic knowledge required for starting career in data science and the concepts explianing by the proffesors were profound.

By Dan T

•

Jun 29, 2021

Fantastic course that I learned alot from. The assignments were tougher than I expected, and it was a great way to really groke the concepts. My only criticism was that the auto-grader wasn't great.

By James T

•

Apr 22, 2018

Great course, make sure you are comfortable in Python before diving in. Covers basic DataFrame work including cleaning, generating new data from existing data, and how to execute merge/join/update.

By Tarit G

•

Apr 14, 2020

Awesome course! I haven't done any course like this. Explanations were very clear and deep, which is very helpful to learn the content. Thanks a lot to the professor and the University of Michigan.

By Prashant B

•

Dec 30, 2019

It is a great course to get started in the field of data science. It just require basic knowledge of python. This course teaches you basics of numpy and pandas and how to apply them in data science

By Dimitri M

•

Nov 22, 2016

Great course! I liked how the focus was mainly on the practical aspects of data science. No 'dry' course material. I know much more about the practical side of data analysis than before! Thank you!

By Andrii T

•

May 24, 2020

This course was a bit tough during the assignments, but it was totally worth it. Now I feel confident and enthusiastic about continuing my study of Pandas and other basic data science instruments.

By Lien C

•

Oct 5, 2018

Excellent excellent course! The instructor explains very well and video lectures are typically 5-10min only- very good bite-sites! Assignments are well-designed and you are working with real data!

By Tomack G

•

Feb 15, 2018

Great course, I really benefitted from the shorter instructional videos and much longer exercises where I had to figure out a lot of things on my own, which is the best way to learn in my opinion.

By Alysson C

•

Oct 1, 2020

It's one of the best courses that I ever had. The content is clear and focused on solving problems. And the activities are really good, challenge you and make you look for more content to answer.

By Manvitha N

•

Jun 18, 2020

The instructor was very clear in concepts and the course has helped me to gain more knowledge in data analysis with pandas and made me fluent in finding solutions to problems. Thanks to Coursera.

By Vignesh N

•

Jan 26, 2020

Best course to learn about Introduction of Data Science, a fast paced course, need to have knowledge about Pandas and Numpy before taking this course if not it would be kind of tough to complete.