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

4.5
stars
26,908 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.

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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4126 - 4150 of 5,918 Reviews for Introduction to Data Science in Python

By André T R

Mar 1, 2017

The submission tasks are too time consuming. In the other hand,forces the student to search about answers by themselves and use the techniques taught on it's full extension.

By Wen H

Nov 20, 2016

I like the course very much. It was fun to learn and to do the exercises. There were some rough edges in the assignments but I'm sure these will be straightened out in time.

By Bikash P

Jun 1, 2020

The last 2 assignments were very tough. Out of the scope of this course.

But whatever the content was very nice and understanding & helped me a lot in boosting my knowledge.

By Eddy F

Jul 13, 2022

The course is very good but a lot more demanding than it is recommended. The optional material is not that optional... you will needed to complete quizzes and homework.

By Juan J p

Sep 23, 2020

es muy rapido explicando los conceptos que muchas veces pueden ser muy densos sobre todo cuando no tienes demasiada experiencia con esto, pero es muy bueno. aprendi mucho.

By Alberto M

Oct 18, 2019

Muy buen curso. Sin embargo, hay bastantes problemas con el corrector automático que causan muchos quebraderos de cabeza innecesarios. Pero salvo eso, es muy recomendable.

By Pablo R B

Sep 25, 2019

A partir de la semana 1 faltan los subtitulos en español, que para alguna cosa más técnica pueden ayudar a comprender ciertos aspectos más complejos a los hispanohablantes

By Rahul V

Jul 6, 2019

Video lectures are easy to understand, but assignments are pretty hard as per knowledge obtained in these lectures, but that is okay because there is no spoon feeding you.

By Juan M C A

Jan 29, 2022

En general es un buen curso, pero si es recomendable que tengas un fondo en programación en python y un poco en la ciencia de datos, ya que si se pone complicado el curso

By Luis V

Dec 11, 2020

Excelente curso abarca temas esenciales para la carrera de Ciencias de Datos, principios de Pandas y Numpy, así mismo los desafíos semanales te retan a cumplirlos al 100.

By Alexa

Jul 14, 2019

to accomplish the assignment, far more knowledge than teacher had taught. actually it is not good for true beginner. I really need to ask others for biggggggggggggg help.

By SIEW M J

May 27, 2018

Instructions should be clearer in the assignment page. Otherwise over-reliance on discussion forums may tend to steer some candidates away from completing the assignments

By Vinay P d L R

Sep 18, 2017

Doesn't explain alot of important variation of the sintax, and says some wrong stuff as well. These two problems actually happen quite rarely, though. Pretty good course!

By Колесова Д М

Aug 1, 2017

I hope that such difficult "introduction" leads to the easy path in working.

All in all - VERY HELPFUL COURSE. Morethanthat, tutors always ready to help you!

Thank a lot.

By Sudheer a

Jul 9, 2020

Course content is good. The Assignments were great. It was comfortable in reviewing the concepts in the Jupyter notebooks provided. Overall the course seemed good to me.

By Johnny D U

Jun 19, 2020

the instructer was explaining very fast. i couldn't catch up with him. and the learning information was too less when compared to the questions asked by the assignments.

By Jaydeep J

Jun 3, 2020

It was great course. The only thing I disliked is that it just gave overview of things that can be done, it was not in detail and also pace of the videos was a bit fast.

By SophieLi

Mar 24, 2020

I appreciate this course very much! Course notes and the assignments are of great importance for my deeper understanding of python. And the forum really helped me a lot!

By Ping-Liang C

Jul 15, 2017

It will be better to understand the whole coding if they explain more about the codes they are using. Some times they will directly using codes without explain it first.

By Jason L

May 14, 2021

Get ready to load and cleanse data with Pandas. Also, great for experience with NumPy and a bit into SciPy at the end. Make sure to keep up with the assignments work!

By Benjamin C

Oct 13, 2020

Solid introduction to basic data manipulation in python. I thought the course was a bit lengthy and the quizzes unnecessary, but overall I am satisfied with the course.

By Rishi s

Mar 30, 2020

This course was awesome, but the Assignments were difficult as compared to the teaching lecture.

I think there should be a bit more about the topic discussion in videos.

By מתן ל

May 29, 2018

Course is great and very teaching. That being said, some of the excersizes are not clear enough, and since the autograder is auto, it creates problems from time to time

By Mauricio

Dec 7, 2018

Great Course, very useful basic python course. Although I had lots of experience with python it is always good to go back to basics and reinforce good coding practices

By Deleted A

Aug 12, 2017

Very practical assignment to hone skill in data frame and regex operations. However I don't like the monthly subscription payments, which is inflexible to my schedule.