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
24,725 ratings
5,544 reviews

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

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

SI
Mar 15, 2018

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 .

Filter by:

4026 - 4050 of 5,489 Reviews for Introduction to Data Science in Python

By Matthew H

Apr 27, 2021

This is an intro class but it feels like Data Science 5000. Be prepared for long nights, but I feel there will be a payoff.

By Guido L

Jan 19, 2018

Takes some more time than it is said in the course. I didn't have any experience in Python so that is probably the reason.

By Moustafa S

Jul 15, 2020

it was really good and challenging and of course it made me feel like i'm solving a problem for a job or a life experience

By sunit j

Apr 25, 2020

A very good course for any aspiring data scientist to improve their data wrangling and pre-processing skills using Python.

By Saurav K

Sep 3, 2019

The Video content is not satisfactory. The content must be improved. It does cover only the edge. This should be enriched.

By Tiago F M

Jun 17, 2018

Curso muito bom e esclarecedor, apenas as atividades a serem desenvolvidas que são um pouco mal apresentadas ao estudante.

By Zaks L

Apr 8, 2018

Good course - requires a lot of self-learning, but that's not a huge problem. I think we could use a little more support.

By Vaishnavi C

Jun 30, 2017

The course assignments were very helpful in understanding the concepts better while encouraging the students to self-learn

By Marcus

Jun 10, 2017

The assignment is useful, however, the grading does not give much information on the submission except the points awarded.

By Nico A

Feb 3, 2017

This course will be a great start for people to know about data science with python and get familiar with few simple data.

By Rahul S

Jan 28, 2017

The material seemed a bit hurried at times..but overall a great learning experience and the assignments were truly helpful

By Ozgun S

Jul 29, 2020

First, classes give you knowledge about topics. Then,

challenging

assignments come which encourages you to learn more.

By Rômulo M R

Apr 10, 2017

In my opinion, the assignments problems could be more clearily explained, I think it could be improved for next sessions.

By JAI K

Jun 16, 2020

The videos could have been more Assignment friendly, as the assignments were tough to crack after seeing just the basics

By Akshay S

Sep 10, 2019

The assignments and the projects touched upon not just the basics. The video lectures could've been a bit more detailed.

By DK

Jul 3, 2018

The pace of the course is fast, need quite a bit of python experience and a lot of study outside of the course material.

By Youdinghuan C

Jan 22, 2017

First two weeks are great. The third week becomes a bit disporportionately difficult. The autograder is very inflexible.

By Geoffroy D

Dec 3, 2016

Good course, going a bit fast on certain aspects but good use of Jupyter and interesting coursework, challenging enough.

By Charles K

Jul 16, 2020

Difficult, but do-able. Recommend having a strong baseline understanding of Python + Jupyter Notebooks before starting.

By Varun C

Jul 9, 2020

I have gained much knowledge of the pandas library from this course.I will forever be grateful to Dr.Christopher Brooks

By MUHAMMAD R S

Jul 3, 2020

This course was very much fast paced.This course is not for beginners but for people who wants to refresh there topics.

By NITHIN M

Jun 29, 2020

Amazing course the basic fundamentals and overview idea of the data science using python is covered in this course.....

By Gerardo d l O

May 7, 2018

Great material, but the lectures go extremely fast and have no external notes. The last assignment is way out of scope.

By Orkun M K

Aug 11, 2020

Presentation materials and instructor is well. However, assignments are a bit hard and do not have enough explonation.

By Himanshu B

Jul 31, 2019

Good course for beginners but it is some advance thing which asks in the assignments but not covered in video lectures