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Отзывы учащихся о курсе Introduction to Data Science in Python от партнера Мичиганский университет

Оценки: 24,558
Рецензии: 5,516

О курсе

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....

Лучшие рецензии

9 мая 2020 г.

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

15 мар. 2018 г.

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 .

Фильтр по:

4126–4150 из 5,469 отзывов о курсе Introduction to Data Science in Python

автор: abhijeet g

28 мая 2019 г.

The course was too fast for a beginner but if someone has good dedication level he can learn easily

автор: Anish R

4 янв. 2019 г.

Assignments are complex without much practice questions during the course otherwise course is fine.

автор: Prasang S

13 июня 2018 г.

A good introductory course. But it's not a course for beginners at all. Assignments were very hard.

автор: Muiz V

23 окт. 2017 г.

Fast paced, very concentrated course. Only recommended to those with strong programming experience.

автор: Armando V O S

15 мар. 2017 г.

I really enjoyed this challenging introductory course, I cannot wait to continue the specialization

автор: Muhammad Y

29 авг. 2020 г.

Its been good to learn about the data and the sciences of its I would love to learn more about it.

автор: Sounak S

2 авг. 2020 г.

The course is good. But I was expecting less more real-life data sets for Jupiter notebook example


16 мая 2020 г.

The course is good for the beginners but you can have little difficulty in solving the assignment.

автор: Vineet K

5 апр. 2020 г.

There should be some more content in the course, more clarity in the assignment questions as well.

автор: Sanjay V

26 нояб. 2019 г.

A very good course for a person who is not familiar with Python and would like to learn it quickly

автор: Wilson V M

17 июня 2019 г.

From module three it is a bit difficult to understand but with a little extra work can be achieved

автор: Elias

21 апр. 2017 г.

Very good course with some challenging assignments that put to test many of my python capabilities

автор: viomesh s

2 апр. 2020 г.

Assignments are really hard

It required very descent coding. Problems given are not for beginners.

автор: Rodrigo J H

20 авг. 2020 г.

Sales con buena idea de pandas y de como tratar datasets, limpieza, union, obtener datos, etc...

автор: Dinesh D M

19 июня 2020 г.

This course is really helpful me to start data science as a career. Thank you course instructor.

автор: PRITAM R

17 мая 2020 г.

Great experience to learn Data science in Python. Looking forward to explore more on this topic.

автор: dufang

4 нояб. 2019 г.

assignment is too hard, and no guide for it. It takes too much time search relavant information.

автор: Anubhav N

4 июня 2018 г.

The course material should be more aligned with the level of questions asked in the assignments.

автор: anshu s p

29 мая 2020 г.

No doubt this is the awesome course which lets you explore your wings into this exciting field.

автор: Suresh C

23 сент. 2019 г.

I wish there is more lecture material provided on dataframes, especially mechanics of grouping.

автор: XIA S

30 дек. 2018 г.

The assignment is DOPE lol, but nice support from the discussion form! Really great experience!

автор: 于涛

6 дек. 2018 г.

a little bit too hard in some assignments, need lots of time to learn by yourself from internet

автор: Mauricio A E G M

19 нояб. 2018 г.

In my opinion, the best thing that has this course are assignments, I learned a lot doing them.

автор: Houyi D

21 мая 2018 г.

I think the material is still small. I think it still could include more things in this course.

автор: Hugo S S

27 мая 2017 г.

Very good course although the assagissements are a little bit too difficult (at least to me...)