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    Back to Introduction to Data Science in Python

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

    Filled StarFilled StarFilled StarFilled StarHalf Faded Star
    4.5
    stars
    27,158 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 an...
    ...

    Top reviews

    PK

    May 10, 2020

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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

    AV

    Jan 1, 2017

    Filled StarFilled StarFilled StarFilled StarFilled Star

    To be an introductory course I struggled a lot, is a very practical course, and the assignements encourage you to learn more. This is the best technical course I have taken. Lo recomiendo ampliamente

    Filter by:

    826 - 850 of 5,968 Reviews for Introduction to Data Science in Python

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    By Giulio S

    •

    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.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Xiaofeng Z

    •

    Jan 20, 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.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Nguyen T A

    •

    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.

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    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.

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    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.

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    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.

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    By Ryan W

    •

    Jun 14, 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.

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    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.

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    By Akash R

    •

    May 21, 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

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    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.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

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    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)

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    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!

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    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.

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    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.

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    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.

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    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.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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

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    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!

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    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.

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    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!

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    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.

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    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.

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