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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: 25,931

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


28 сент. 2021 г.

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.

Фильтр по:

4726–4750 из 5,724 отзывов о курсе Introduction to Data Science in Python

автор: Botond F

11 июня 2017 г.

The test descriptions are ambiguous

автор: Matthew C

1 янв. 2017 г.

good solid intro to python munging.

автор: Manoj Y

7 янв. 2021 г.

best for beginners in data science

автор: Yousef M

24 апр. 2020 г.

autograder is not fun to work with

автор: Yu D

8 авг. 2019 г.


автор: vikash s

2 мар. 2019 г.


автор: Selvakumar

30 мая 2018 г.

Good way of starting Data Science.

автор: Shivam A

15 окт. 2020 г.

Needed a bit of more on Python DS

автор: Rakhshanda M

18 июля 2019 г.

Could have been more interactive.

автор: Miguel L P

19 окт. 2020 г.

Really good exercises and theory

автор: gaurav s

9 сент. 2020 г.

That was tough but it was worthy


18 мая 2020 г.

The week4 could have been better

автор: Mukul S

14 мая 2020 г.

accent is not easy to understand

автор: Hamideh T

16 мая 2019 г.


автор: Shankar J

18 мар. 2018 г.

Good course with great practice.

автор: Dongqing X

18 нояб. 2017 г.

The ipynb service is not stable.

автор: Sunder L

31 июля 2020 г.

my overall experience was good.

автор: Ashish C K

2 мая 2020 г.

expected much more but its good

автор: Farheen N

2 апр. 2018 г.

Very good course for beginners.

автор: Abdul R

28 дек. 2017 г.

Assignments are little tough :)

автор: Yilin H

25 нояб. 2017 г.

too difficult for first learner

автор: VP P

6 июня 2021 г.

fast pace - tough to catch up

автор: Anik S

18 февр. 2021 г.

Overall an informative course.

автор: Ilina D

22 сент. 2020 г.

not enough practical exercises

автор: Shaniya

27 июня 2020 г.

i loved it... very informative