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

25,917 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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5676 - 5700 de 5,722 revisiones para Introduction to Data Science in Python

por Allen T

31 de dic. de 2021

Time spent != Learning Benefit. Assignment #3 is a waste of time. Week 3 Lecture and assignment #3 were unrelated.

por Diwakar S

10 de ago. de 2020

teacher is good but talks way too fast. hard to follow especially data science concepts at that speed

por Vishnu S K

26 de jun. de 2020

The Class is too fast and not explained in an understandable manner. Programming is also very fast.

por Lovish b

18 de ago. de 2020


por Shailvi S

19 de jun. de 2020

Not an introductory course. They don't even teach like you're a beginner. Very very unsatisfied.

por Priata N

6 de may. de 2020

Not a very good instructor or course. Course topics are good. I had to learn from other sources.

por Xavier P C

20 de abr. de 2020

Very poor material compared to what you are asked to do on the assignments. A waste of money

por vivek

16 de abr. de 2020

My project is stuck because of silly code validation, can some one look into it urgently

por Santiago T J

15 de may. de 2020

The content they give in the videos is not enough to perform the tasks they propose.

por Jay B

22 de abr. de 2017

just begun, but so far so good. I will update the stars as the weeks progress!!

por Timothy R L

22 de abr. de 2020

this class sucks. Huge disappointment after how good python for everyone was.


19 de ago. de 2020

i had some issues which i posted as questions but they remained unresolved


29 de ago. de 2021

Worst certificate I have ever got. No proper alignment in certificate.

por A Z

28 de dic. de 2017

It's a shame the course offers no feedback if you don't pay.

por Ashutosh K

4 de jul. de 2020

SUPER FAST, He talks slow and codes fast..not done dude.


1 de jul. de 2020

assignments are are way too difficult than the coaching

por Minmin

14 de jun. de 2020

The pace is extremely fast. No time for you to think.

por Pavel

27 de ene. de 2017

Looks like it's prealpha version of what it might be.

por Gabriel C A C

2 de abr. de 2022

Assignments seem to be problematic for many users.

por Suher E

28 de jun. de 2020

very poor content! un-recommended at all, sorry.

por Catherine L

22 de may. de 2020

the autograder is way too picky and frustrating.

por siddharth

30 de jun. de 2020

there is only a small previes of all topics .


9 de jun. de 2020

Only focusing on library not real application

por Sanchita M

3 de may. de 2020

Too much fast. Coding not visible properly.

por Daisuke K

2 de ene. de 2022

just reading sentence without explanation