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Вернуться к Introduction to Data Science in Python

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

Оценки: 23,397
Рецензии: 5,252

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:

4176–4200 из 5,174 отзывов о курсе Introduction to Data Science in Python

автор: Deep C

29 нояб. 2019 г.

This course is advance level but very informative.

автор: Ali A

24 янв. 2019 г.

Good for people with prior programming experience.

автор: Rishikesh K

4 июля 2017 г.

The instructions for assignments need more clarity

автор: YASH B

24 авг. 2020 г.

Content is good and the assignments are on point.

автор: Aditya S

25 окт. 2019 г.

The assignments were quite tough and challenging.

автор: Nanda K

26 янв. 2019 г.

Really very mush useful for all the data analyst.

автор: Alok S

6 июля 2018 г.

Great content and explanations to novel concepts.


21 мар. 2018 г.

A very good course as introduction to Datascience

автор: Lionel C

28 нояб. 2017 г.

Great for learning python basics for data science

автор: Waqar Z

7 апр. 2017 г.

This is the good course for learning data science

автор: Alluru M

10 окт. 2020 г.

really helped in improving skills in our carrier

автор: ADARSH G

26 июля 2020 г.

The course should provide with some more videos.

автор: Jayanth T

24 мая 2020 г.

It is one of the best course of data science...!

автор: G c p

12 мая 2020 г.

it good to understand assignment also very good.

автор: Ankit G

2 мая 2020 г.

It was a great experience attending this course.

автор: Sahil G

26 мар. 2020 г.

thanks , the course will be helpful for my work

автор: Ardan B P

19 дек. 2019 г.

Good, but I think the video course is too simple

автор: Rachel S

14 авг. 2018 г.

Some directions were confusing but learned a lot

автор: Shankar S

23 июня 2020 г.

I found this course very useful and challenging

автор: Qucheng P

29 авг. 2019 г.

Need to have more guidance for the assignments!

автор: Raúl A R C

15 дек. 2018 г.

some of the automatic revision has some issues.

автор: Marin S

2 дек. 2018 г.

Auto grader needs better debugging capabilities

автор: Angus L

2 июня 2017 г.

very good course and the lecturer is very good.

автор: Mathura D

23 июля 2020 г.

The last week module was not very much cleared


7 июня 2020 г.

The course is very good so as the instructor .