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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: 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

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

AU
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:

4501–4525 из 5,380 отзывов о курсе Introduction to Data Science in Python

автор: Ayush V 1

4 июля 2020 г.

Can go at a bit slower pace

автор: Aniket B D

30 мая 2020 г.

This Course is really good.

автор: Sahrul

19 мая 2019 г.

a great course for beginner

автор: Juan V

6 окт. 2017 г.

Took longer than I expected

автор: Marlon Z R A

5 июля 2020 г.

It was a great experience.

автор: Yash k

30 окт. 2018 г.

Assignments are very good.

автор: 郜梦蕊

3 дек. 2016 г.

Not so easy ,not too hard!

автор: Jesús G E C

30 авг. 2020 г.

the assignments were hard

автор: Siddharthan M

24 июля 2020 г.

Good introduction course!

автор: Job Q

21 июля 2020 г.

Nice introductory course.

автор: JITHIN P J

9 мая 2020 г.

Good Learning opportunity

автор: Aayush J

23 апр. 2020 г.

Great Learning experience

автор: Akash M

22 янв. 2020 г.

VERY WELL BALANCED COURSE

автор: antti k

1 дек. 2019 г.

some tasks were ambiguous

автор: Avinash S

24 июня 2021 г.

It is very good session.

автор: Lorenzo R

20 мая 2021 г.

Very tricky but complete

автор: Divyanshu

30 нояб. 2020 г.

it is good for beginners

автор: Gamaliel D

29 мая 2020 г.

Efficient and Worthful!!

автор: Bekim F

24 мая 2020 г.

Overall very good course

автор: Prateek B

15 мая 2020 г.

Good Learning experience

автор: Shivanshu S

6 янв. 2020 г.

best course of beginners

автор: William K

24 нояб. 2016 г.

Learn a lot with Pandas.

автор: Shreyasi G W

15 авг. 2020 г.

It was good experience.

автор: YuChunjiang

29 апр. 2020 г.

It's a little difficult

автор: shashi k

31 мар. 2020 г.

Good overview of python