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

4.5
estrellas
19,157 calificaciones
4,326 revisiones

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 revisiones

PK

May 10, 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

AU

Dec 10, 2017

Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!

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3076 - 3100 de 4,267 revisiones para Introduction to Data Science in Python

por André Y

Mar 16, 2019

The course is great, there are challenging assignments, great for those who want to learn the basics of programming/data analysis.

por Venkataraghavan P K

Feb 11, 2019

The assignments were pretty good, making one to go advanced into python. The teaching could be bit slower paced with more content.

por Saumitra K R

Sep 08, 2017

Nice course for intermediates and beginners.This course becomes quite challenging and difficult to grasp as the course progresses.

por Francisco C

Jan 30, 2017

All the ingredients are there, but it would be nice to have more hand-holding given the ramp-up in difficulty in only a few weeks.

por Omran A S S A R

Jun 13, 2020

I loved the assignments but the video lectures lack all the info needed to do the assignments. assignments require self learning.

por Jinhang J

Mar 23, 2020

I wish we had more examples and datasets in this course. Overall, it is a good way to start and learn how to use NumPy and Pandas

por chirag t

Oct 30, 2019

over all good content, assignments were good, one thing i find it hard is pacing, it's sometimes too fast, but it is worth taking

por Ivan Z

Feb 24, 2019

The course is not bad for the start, but I'm a little bit confused because of difference between lectures and assignments' tasks.

por Declan K

Sep 20, 2017

The assignments were a very good indicator of progress. The tutor was a great help for when I had a problem. Thanks a million ;-)

por SHUBHAM P

May 29, 2020

Course could have been taught with some more depth and focus given on covering more concepts. Otherwise the curriculum was good.

por Mauricio

May 07, 2020

I gues is important give more estructures to the student, i think a little cheatsheet of python is very useful for the students.

por Vijay R

Nov 07, 2019

The assignments were a bit difficult. It sometimes demotivates when the going gets tough. Was able to crack it in the end though

por noiplee

Aug 04, 2019

Great courses,enjoy.But this is the hardest course I ever have on coursera.Slow down the speech and coding part would be better.

por Haotian H

Feb 20, 2018

course content is very good. the assignments need to be more detailed...some questions are confusing and need more instructions.

por Kaviti s

Jun 27, 2020

It was a knowledgable experience. But I would say need a bit more work towards explaining the programming during the sessions.

por Hans C P

Jun 26, 2020

It was difficult to choose; 4 or 5 stars. It is a 5 star course, but due to my fighting with the autograder, I ended up with 4.

por Anatolii L

Apr 13, 2020

Pros: Good and practical syllabus

Cons: no so clear explanations of some topics, problems unclear issues with assignment grading

por Mujeeb A F

Jul 18, 2018

Course content was really good as it focused more on practical work rather than just theory. The last assignment was difficult.

por Apurv S

Nov 28, 2016

Very good... but question should have been properly explained (in a detail manner).. overall it was a great learning experience

por Xinyang W

Oct 26, 2019

Video instruction is way too short compare to other Coursera courses. I don't think it's a good course for absolute beginners.

por Zhenying T

Sep 08, 2019

The lectures are a bit fast and there are a few errors in the homework. The homework is very helpful and uses real-world data.

por Karina L B

Oct 17, 2018

It is necessary to explain more some definitions and some assignment are not entirely clear. Excellent response from the staff

por Alain D

Feb 20, 2018

Good course, you have to do a very large amount of work and research and test on your side in order to properly understand it.

por Jacob L

Aug 24, 2019

It was a good solid course on intro data science with Pandas. I found the videos were a little dry, but the content was good.

por Aditya M

Jul 25, 2019

Overall you get to learn new and good ways of doing pands and matplotlib but its way too fast for anyone with basic knowledge