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

4.5
stars
26,999 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

SI

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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 .

NF

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I thought this was course was good, and was fairly challenging for an online-only course. I thought the lectures could have been a little longer to ensure proper coverage of materials and functions.

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901 - 925 of 5,936 Reviews for Introduction to Data Science in Python

By Tania C

Sep 8, 2019

Best course one must take to opt for a future in the data science field.

This course cleared all my basic knowledge related to the data science with python as the programming language.

By Soyinka S

Jul 20, 2019

Skills gained in Introduction to Data Science surpassed my expectations. Its project and assignments are really tough, hence, engraving the real knowledge into the brains of students.

By Mrinalini H

Nov 9, 2019

In-depth course with great material and good assignments. The language used in the assignments is a bit difficult to comprehend, not all questions are clear as what needs to be done.

By Victor O C

Aug 12, 2019

This course is a great approach for both beginners and advance programmers who want to dive into an specific and very pragmatic approach to most used pandas methods for data science.

By shashank s

Aug 6, 2017

excellent material with a good flow in tutorial. great use of technology for teaching. Also, the involving exercises really test one's understanding. A wholesome experience over all!

By 王玉瑞

Aug 18, 2021

I find it more efficient for me writing own code following the jupyter notebook first and watching video second. And the book Python for Data Analysis is helpful to this course too.

By Choon K C

Jun 5, 2021

Great introduction to data science using Python. The weekly assignments are very challenging and if you are able to complete the course, you can give yourself a pat on the shoulder.

By Shreya K

Apr 9, 2020

As the course name suggests, it's a great start to get a good knowledge of Python for DataScience which is required if you are interested in participating in Data Science Hackathons

By Prateek S

Mar 29, 2020

The course requires knowledge of python as well as a programming aptitude. The assignments encourage you to go deep into the pandas library and improve upon the learning experience.

By Daniel M H B

Mar 10, 2019

Es muy bueno el nivel, ni muy básico ni muy avanzado, y el profesor es muy claro y se ayuda de ejemplos de gran utilidad para facilitar el entendimiento. Los exámenes son retadores.

By Nazeer B s

Jan 14, 2019

I like the course very much, it will be useful for career prospective. I have taken courses in different sites, but this is especially to good in practice , assignments and grading.

By JJ C

Jan 9, 2019

This course has allowed me to improve my data analysis skills and I have already been able to use many of the lessons learned to create more insightful and efficient reports at work

By Anurag L

Mar 3, 2018

Everyone should take this course.Real Challenge is in the assignment.I have done some other courses but it helps me to think better about the problems faced in the assignment.Thanks

By Bruno

Feb 19, 2017

Really amazing course, I leaned a lot about pandas, how to manage and clean data and extract value out of that. I've learned a little about statistics, specially hypothesis testing.

By carlos u

May 10, 2020

This course has been a real challenge, but i feel really good about finishing all the assigments , and being able to read different files and use it like in a day to day situation.

By W Q

May 29, 2017

Very helpful in learning Pandas. Overall a very well designed short course. The only minor difficulty I had was HW submission. It took some time to figure out what could be wrong.

By Am T (

Apr 14, 2017

Nice course! Pushing you to practice and lert you act on your own to find accurate results.

I thinks that this is the best way to learn if you want to start a career in Data Science

By Alejandro A

Apr 19, 2023

A very powerful course that gears you up for work through real-world projects. Covers several subjects that become valuable tools for you to perform within the Data Science field.

By Daniel A S M

Dec 6, 2020

Great course! You have to do a lot of research of your own to have a better understanding of things. Besides that, this is a great course to kick off your carreer on Data Science.

By Atharva L

Jun 4, 2020

Course assignments are very tough and for not for beginner level python knowledge. You have to look up on various documentation time to time and the assignments take a lot of time

By MOHAMMED M

May 27, 2020

One of the best course that i came across it. It is a intermediate course as i say because of the assignment and you should have knowledge in Python and libraries. Happy Learning

By 肖雅蓝

Dec 24, 2019

This course is a bit too hard for me. I strongly recommend people with no programming experience (like me) take further consideration. You'd better take a beginners' course first.

By Cristóbal B

Oct 18, 2019

It is a very good course. If you are not very experienced in python it will demand you to read a lot before finishing every assignment, which is great because you learn much more.

By Imre V

Dec 3, 2018

It was absolutely awesome and challenging.

I liked the in-video questions as well as the assignments, because they give a good foundation of knowledge, but encourage self-research.

By Andrew G

Jul 31, 2017

An excellent fast on ramp into Python and especially NumPy. The usual caveat with online courses, the assignments often consume 2-3 as much time as you expect (so allow for this).