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Opiniones y comentarios de aprendices correspondientes a Introduction to Data Science in Python por parte de Universidad de Míchigan

26,491 calificaciones

Acerca del Curso

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....

Principales reseñas


9 de may. de 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


28 de sep. de 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.

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5326 - 5350 de 5,807 revisiones para Introduction to Data Science in Python

por Seyed S F

6 de oct. de 2020

Thank you all. I think Coursera's platform is a little confusing for this course

por Joachim S

21 de jun. de 2020

Technical issues in the assignments makes the course harder than it needs to be.

por Peter D

2 de abr. de 2018

The course assignments were very tough for me, much harder than I anticipated...

por Keith H

29 de abr. de 2017

a decent introduction into the world of python dataframes via the pandas library

por Ignacio Y M

6 de feb. de 2022

Ejercicios demasiado elaborados y complejos, requirere mucho tiempo de trabajo.

por Oswaldo C

29 de jun. de 2020

You have to make a lot of research on pandas documentation to do the assigments

por Mr Q

27 de jun. de 2020

Typical school concept. Lessons level 1, quizzes level 3, assignments level 50.

por Sid J

18 de ago. de 2019

Bit faster than expected, should have disclaimer to learn pandas basics first.

por ti t h

27 de oct. de 2018

Auto grader needs to give more feedback. Too many things to learn by yourself

por Anil K N

22 de jun. de 2019

There should have been more quizzing assignments rather than the coding ones


29 de jun. de 2020

in starting course is good but at the end it will become boring and lengthy

por Thiago J M M

21 de abr. de 2020

Os exercícios estão em nível absurdamente complicados emm relação as aulas!

por Thomas G

25 de sep. de 2019

It's really informative, but there is too little instruction in my opinion.

por Jens R

28 de nov. de 2018

In my point of view, the lectures and the assignments are not well matched.

por Jai L 1

13 de abr. de 2020

Tutotial videos of jupyter are very fast and need much time to understand.

por Srikanth G

10 de nov. de 2019

It would be nice if we have more explanation for questions in Assignments.

por Shiva K

23 de jul. de 2020

Very fast explanation and coding is also very fast and hard to understand

por Wong L C

14 de nov. de 2018

Overall is good but the contents seem to be a bit difficult and too rush.

por Premjith B

21 de nov. de 2016

The assignments were good but it was a lot of time spent with the grader.

por Eric L

20 de mar. de 2021

submitting the assignments with the autograding is extremely frustrating

por Thi T H N

22 de ago. de 2019

The course is not well organised. However, the projects are interesting.

por Ryan S

22 de nov. de 2017

homework format of outputting values from functions needs to be improved

por Abhishek P

10 de may. de 2020

Course way too easy and has quite less information/knowledge to offer.

por Shivam P

26 de jun. de 2020

The assignment is too difficult compared to what they teach in course

por tushar s

20 de jun. de 2020

Not providing in-depth knowledge of functions through video lectures.