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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

4.5
звезд
Оценки: 23,450
Рецензии: 5,268

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:

4301–4325 из 5,190 отзывов о курсе Introduction to Data Science in Python

автор: Yousef M

24 апр. 2020 г.

autograder is not fun to work with

автор: Yu D

8 авг. 2019 г.

作业确实难,但课程也很棒,如果课程能再多一点实例讲的更细一定会更好!

автор: vikash

2 мар. 2019 г.

ITS WAS A GOOD EXPERIENCE FOR ME..

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

9 сент. 2020 г.

That was tough but it was worthy

автор: PRAKHYATH K U

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.

DIFFICULT FÖR ME BUT REALLY GOOD

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: 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

автор: José D A M

22 мая 2020 г.

Too fast, not enough examples.

автор: JayanthKumar K

1 мая 2020 г.

I earned a lot in this course.

автор: INAM U H

17 апр. 2020 г.

It was a wonderful experience.

автор: Janid A

27 мая 2019 г.

Nice and easy to follow course