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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: 24,316
Рецензии: 5,447

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

9 дек. 2017 г.

Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!

Фильтр по:

4451–4475 из 5,380 отзывов о курсе Introduction to Data Science in Python

автор: Andy B

14 мая 2019 г.

Very self-directed and challenging.

автор: Yuanlong Z

26 мар. 2019 г.



автор: Yazan K

29 сент. 2018 г.

A great course, Highly recommended!

автор: Quancheng H

3 янв. 2018 г.

The test is too hard for beginners!

автор: Jesús P

6 дек. 2017 г.

Great course but could be improved.

автор: Apurve D

14 авг. 2017 г.

Very difficult course for beginners

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

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.