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

4.5
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Оценки: 24,137
Рецензии: 5,409

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

PK
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

SI
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:

4026–4050 из 5,329 отзывов о курсе Introduction to Data Science in Python

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...)

автор: Ramprakash V

9 апр. 2017 г.

A worthy course to begin Python & Data Science with. I enjoyed learning Data Science in Python.

автор: Zhijun C

27 мар. 2017 г.

Hope that lecture videos could be longer. Anyway, it is a great course, I really learned a lot.

автор: Darren L

1 янв. 2017 г.

It's really nice to learn pandas in this courses. Every assignment is full of challenge for me.

автор: Md. S K A

21 сент. 2019 г.

Excellent and focused on application. But the instructions for assignments need to be refined.

автор: Vivek R

27 июля 2019 г.

The course is good. But is very fast-paced. You do need to have a good experience with python.

автор: Akila R

7 дек. 2017 г.

The final assignment is very tough and needs more tutorial help and more descriptive questions

автор: Jakob S M

17 июля 2017 г.

Grate material.

Some of the videos are not correctly cut, making them a bit confusing at times

автор: Da Z

12 мар. 2017 г.

requires too much self-learning,could be overwhelming to those who lack concrete python basics

автор: 张龙

17 янв. 2017 г.

这门课程还算比较可以的。自学内容适中,主要教你如何用pandas模块。学完这门课程,基本可以达到熟练使用pandas模块。非常有帮助。个人觉得,作业还是有一定的难度,从一个中国人的角度看。

автор: Nuno d S

11 дек. 2016 г.

Very nice course. The only problem that I found was the lack of exercises between assignments.

автор: Paweł R

3 дек. 2016 г.

Good introductory course, but I must admit that the assignments are not explained well enough.