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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
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19,113 calificaciones
4,307 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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3151 - 3175 de 4,244 revisiones para Introduction to Data Science in Python

por Hrushabh K

Jun 08, 2020

Nice course! Professor Brooks taught things in a compact and comprehensive way. Assignments are intuitive.

por Muhammad s k

Sep 16, 2019

It provides good hands-on experience through assignments but the explanation in lectures is in-sufficient.

por Omer A

Feb 03, 2019

The auto-grader should return much more intuitive descriptions for why the grade is lower than full grade.

por Charles M

Oct 03, 2018

Most of the lectures are good, and the assignments are good. There are just a few problems here and there.

por Paul W

May 06, 2018

This course really challenges you to get in there and deeply learn pandas. I am very happy with the course

por Jessica S

Nov 12, 2017

Good teaching and learning but quite a lot of personal work and the examples are all but fun to work with.

por shoeb k

Jun 15, 2017

Good to start on Data Science covers a good starter point, giving a practical approach and theory as well.

por Vinh T

Jan 26, 2017

good when it's been around for a while, else frustrated with a lot of unclear instruction and no support.

por BRIONES, D M (

Jun 26, 2020

Very helpful and convenient, although some assignments required multiple runs to get the desired results

por Radu B

Jun 11, 2017

Assignments were not specific enough about their requirements and how they will be tested for the grade.

por Bill G

Feb 24, 2020

Students need more than basic knowledge in Python. Need intermediate to advanced skill level in Python.

por Tomasz S

Jan 26, 2018

Very interesting.

Scope of video lectures should better covers skills necessary to complete assignments.

por Nirman N R

Jun 22, 2020

This course can be made best by adding details of every variable and how to use it in a random project

por Mohammad S

May 29, 2020

Assignments are harder than what is taught in the course lectures. Otherwise a good course.Go for it.

por Artem

Jun 16, 2018

40% of assignment time I was fighting with autograder. I hope course team is going to solve thus issue

por Zhiling G

Apr 14, 2018

A fair introduction with good exercises, but the questions in the homework can be more clearly stated.

por Muhammad U K

May 07, 2020

Assignments are a bit tough and are not explained thoroughly in the videos other than that, its great

por Daniel H

Jun 18, 2019

The automatic grader is very frustrating. It struggles to compile things that shouldn't be a problem.

por Tobias G

Apr 07, 2018

The assignments are very interesting but the course materials should give more examples and guidance.

por Ciro F I B

Mar 18, 2017

Will be useful to take the Phyton Cpurse before this one. You only learn when you do the assignments.

por Erik K

Feb 06, 2017

Basically assignments were unclear (I had to do lots of resubmissions), but everything else was fine.

por Ronald S

Apr 06, 2020

The course was nice and informative.

Just the Questions in the assignments were tricky to understand.

por Yi-Ying C

Oct 09, 2017

This course is pretty challenge, but I indeed learnt a lot thorough striving pass these assignments.

por Jim S

May 31, 2017

Excellent course. Well-organized lecture material and extremely relevant intro to Python and Pandas.

por Sudhir K D J

Feb 09, 2020

The topics could have been explained in little details, however the exercise were quite challenging