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

4.5
stars
27,057 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.

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1076 - 1100 of 5,948 Reviews for Introduction to Data Science in Python

By Ta-Liang L

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Apr 19, 2020

The course content of Intro to Data Science in Python offered by Uni of Michigan is extremely useful and well-organised. It is quite handy to the beginner

By Shantanu T

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Mar 8, 2017

Although, i had some basic knowledge of data science before and also i did some programming in python, yet i find this course comprehensive and practical.

By Andrew G

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Feb 2, 2017

The lecturer is excellent, the forums are active and useful and the exercises are a good mixture of challenging and enjoyable. A very good course overall.

By Dipanshu S

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Aug 25, 2021

Best Course for Understanding concept of Data Science with lot of tools by python.

But you have to be pretty awesome in python for countering this course.

By guru k

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May 13, 2020

The course perfectly designed. Everything is not spoon-fed. This course encourages self-research. Looking forward to completing the whole specialization.

By Sabarinath S S

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Apr 26, 2020

It was a great platform for me to understand the key concept of data science from great university through a great platform(coursera) hope i can do more

By Eliška C

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Dec 9, 2019

Very well structured course encouraging self-study, debugging skills and active knowledge application, instead of just blindly following course material.

By Amine D

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Sep 30, 2019

This is a very good course, i grabbed the python for datascience ebook and read both at the same time. I feel like i have now a strong python base for ML

By Цыганкова И В

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Jul 28, 2019

This course helped me a lot. I personally think that this is the essentials of getting known how to properly use python. I highly reccomdend this course.

By Narendra P

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Feb 9, 2018

An amazing start to hard work that data scientist do! Its not all applying fancy algorithms, you have to get your hands dirty and clean up your own data.

By nitin p

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Jan 29, 2018

This course is one the best course on Data science .It has covered almost everything from scratch and has provided enough guidance for the future courses

By Thanh V N

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Jul 26, 2017

Challenging, and some of the questions were poorly/wrongly worded. But the exercises were good practice, and manageable with some programming experience.

By 胡胜康

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Nov 21, 2016

it's a really good course .it's not like a traditional course in university in China.You should put all your efford to finish it.And it full of challenge

By Tyrone N

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Sep 19, 2019

Very informative and useful. Will teach you functions you did not know about. Simplifying certain tasks that you may have done "the long way" previously

By Spark T

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Dec 30, 2018

A very great course for people who are good with some programming language other than python.

This course will teach how to do data analysis using Python

By Esmerlin R M

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Jun 17, 2018

Este curso no tiene desperdicios, en realidad vale cada peso y tiempo invertido. muchas de las cosas aprendidas en este curso lo aplicare en mi trabajo.

By Héctor M

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Feb 26, 2017

Is challenging and you learn about a bunch of different aspects of pandas. Never forget to take notes about what you are learning and review them later.

By Jens H

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Oct 16, 2022

Although this is an introductory course, it is still very demanding and challenging. Nevertheless, the learning success is present and very satisfying.

By Kaustubh M

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Dec 28, 2021

The course content was concise and well synchronized. The assignments are bit challenging which is good for better understanding of the topic. Loved it

By Esteban V G

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Jun 5, 2019

Great course if you know some programming in other languajes. I would recommend have a previous Python course if you do not have any programming basis.

By Sachin B

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Feb 6, 2018

Nice starter course to getting aware of Data Science using. It has enough scope for self learning which keeps student challenged throughout the course.

By Achmad F

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Apr 9, 2017

Nice Course.... it makes me a little bit stressed cause same bug and other. But I'M REALLY ENJOY this course. Can't wait next course in this series. :)

By Ka P ( Y

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Feb 2, 2021

This course is quite practical. I learned a lot about data wrangling using Pandas and I can apply the knowledge I learned directly to my work. Thanks.

By PRATEEK S

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Sep 10, 2020

I really learned a lot from this course. On topic concept delivery, simplistic codes, tricky question but once u get them it could not get any simpler

By Victor V

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Aug 27, 2019

Really good introductory course to data science using python. I immediately applied what I learnt to my internship and completed my tasks effectively.