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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
24,725 calificaciones
5,544 reseña

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

PK
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

SI
15 de mar. de 2018

overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .

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5301 - 5325 de 5,489 revisiones para Introduction to Data Science in Python

por Manuel M

26 de feb. de 2018

For some reason the format in which the lectures are organized lack a lot of tact and seem to be made with no pedagogic consideration whatsoever.

por Clement G

17 de sep. de 2017

Explanations of python were pretty coarse, the video was not helping much. I feel like I spent time doing 99% of python and 1% of data science.

por Emil K

5 de ene. de 2017

Many bugs, lecture content does not cover topics required to complete the assignments, assignment instructions are not written in a clear way.

por KAMAL G

7 de oct. de 2018

The speaker speaks too fast for any useful "sharing". One need to do reverse engineering to understand the code and underlying concept.

por Adam S

20 de ago. de 2018

Videos not very explanatory, ended up being a lot of self-teaching, video seemed too scripted and didn't really explain concepts well

por Chenfeng L

13 de nov. de 2016

Good course materials and the assignment itself is pretty good, but the grader is buggy, not informative and wasted a lot of my time.

por Manya A

31 de ene. de 2017

Too much focus on databases and database operations, rather than data science.

The assignments are too difficult for a 4 week course.

por MAHESWAR N

28 de jul. de 2019

Assignments were not clearly documented, causing lot of time spent in understanding the requirements than implementing a solution.

por Dilpreet S N

2 de abr. de 2020

The course is very fast-paced and explanations are not clear neither detailed, it looks like instructors are just doing formality

por Sarah S

30 de mar. de 2021

This is a poorly taught course which tells you to go away and teach yourself data science rather than teaching you data science.

por Abhishek c

7 de jun. de 2019

The learning is very fast paced.It seems like the trainer is in hurry.He just touched some keyword without going into details.

por Kush S

20 de may. de 2020

The instructor is very fast and assignments are very tough. Their is huge difference between the course and the structure.

por Shrey S M

17 de jun. de 2020

Pretty difficult course I would recommend the instructions to be more clear and assignments a little more easier .

por Abhimanyu S

9 de abr. de 2020

Videos are too fast and the assignments are barely dependent on the videos. Had to spend a lot of time on Google.

por Yiren J

15 de may. de 2017

The materials are great, but the pace is too fast, I can hardy catch up. Really need to slow down a little bit.

por Apurv G

31 de mar. de 2020

2 stars only for the great assignments. Whatever I learnt in this course is through google and assignments.

por Sofia R

25 de jul. de 2021

The course is not gradual. Especially the fourth assignment is too difficult in relation to the course.

por Shahar M

19 de nov. de 2017

The lectures are much too concise, practice is scarce which renders an overall frustrating experience.

por Cecilia G M

7 de mar. de 2017

Need clearer examples and explanations. Slides summing up concepts or used functions will be great.

por Dirk

28 de may. de 2019

Do you want all the fun sucked out of Data Science! This course's autograder will do it for you!

por Burak C

24 de ene. de 2021

At times the assignments are more confusing than teachin, especially for non-english speakers

por Jordan T

18 de ago. de 2020

Good course but somethings are not explicitly stated when it comes to the exams and quizzes.

por naman s

31 de jul. de 2019

faculty not that good as compared to my last course's.Charles severance was a great teacher.

por don't m

9 de jun. de 2020

I didn't find it good, it's pretty much straight forward with no explanation as such..

por Marcos M R

6 de ago. de 2021

The videos are too long and sometimes the assignments too demanding for its own good.