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

24,879 calificaciones
5,564 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

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.

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

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5326 - 5350 de 5,509 revisiones para Introduction to Data Science in Python

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 João C

15 de nov. de 2021

Very little explanation on how the libs actually work. Assignments cover stuff that sometimes is not even lectured.

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 Saman S

1 de nov. de 2021

Its assignments take too long to be accomplished. Somewhere videos were too fast to catch.

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.

por sparsh d

2 de may. de 2020

Instructor hardly teaches anything and gives you the toughest assignments to do.

por Taninwat W

14 de ago. de 2021

Need more exercise section to cement what I have just learned in each video.

por Scott L

16 de abr. de 2020

Pointless course. They teach you very little. Google is your actual teacher.

por Ridhi G

2 de feb. de 2018

the level taught in the course did not match the level of given assignments.

por Alakesh B

9 de jun. de 2020

Lectures were not clear and too short. A lot of external study is required

por Cunyuan Z

9 de jul. de 2019

Lectures are useless. But the assignments CAN BE pretty good practices

por Jair G

13 de ene. de 2018

I felt lost using Python as a data analysis software with this course.

por yunxin y

2 de dic. de 2021

T​oo difficult as it was largely self learn + memorization, unguided.