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

4.5
stars
27,065 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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1901 - 1925 of 5,948 Reviews for Introduction to Data Science in Python

By Robert B

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Sep 24, 2019

A great start with hands on experience. I can only recommend this Course

By WANG Y

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Sep 23, 2019

The assignment auto grader is super super annoying, others are all good.

By Rohit K

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Aug 15, 2019

Very Detailed course, must have for a beginners to get into Data Science

By Akash C

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Oct 11, 2018

Really nice course to learn about Data manipulation using Pandas Library

By Mia C

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Jul 30, 2018

Great class! I found the 3 assignments challenging, but I learned a ton.

By PETER R

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Jun 23, 2018

Don't like statistics, good experience in how to apply python and pandas

By Hanh N

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Aug 29, 2017

challenging and helpful assignments. i learned so much from this course!

By Aditya T

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Aug 19, 2017

Good course. Better than most other courses.

Assignments are challenging.

By InBum S

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Jul 31, 2017

Great course if you are new to pandas and statistical features of Python

By Matthew R

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Jan 9, 2017

Great basic introduction to the pandas library and data science concepts

By Anthony A

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Apr 20, 2021

This course is extraordinal to all python course i have taken elsewhere

By Juan P N

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Oct 22, 2020

Muy bueno, fue enfocado, con cierto grado de dificultad pero admisible.

By Gautam R

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Aug 23, 2020

Its great course for learning pandas and how it is used in Data science

By Muhammad S S

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Aug 20, 2020

One should has fundamental in Python and Statistic to take this course.

By R L

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Jun 17, 2020

Best way of learning! Assignments are really challenging and fun to do.

By tahir k

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Jun 9, 2020

a great introduction of data science using python programming language.

By Kartik S

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Jun 3, 2020

it is an excellent course which give great insights about data science,

By Mikhail P

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May 9, 2020

One of the best courses for studying tabular data analysis using pandas

By Siddartha Y L

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May 3, 2020

This course is very helpful for me, I learn lot of things using python.

By Servet D

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Mar 24, 2020

I gained perspective on the solution of real-life problems with python.

By Pranav I

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Jan 18, 2020

Highest learning potential amongst all the Coursera courses I have done

By Min L

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Dec 10, 2018

Good exercise, very practical course, teach and self learning combined.

By Harish S

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Jun 15, 2018

A great course to learn data cleaning and working with large data sets.

By Deep P

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Jan 30, 2018

Great material to get introduced to world of data science using Python!

By Sebastian E G

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Feb 23, 2017

Challenging assignments, clear and concise explanations, learned a ton!