Chevron Left
Вернуться к Introduction to Data Science in Python

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

Оценки: 24,321
Рецензии: 5,448

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:

4376–4400 из 5,382 отзывов о курсе Introduction to Data Science in Python


7 июня 2020 г.

The course is very good so as the instructor .

автор: Dongqing Y

8 мая 2020 г.

Assignments barely reflect the course contents

автор: Christian C G E

28 апр. 2020 г.

Interesting topics but very fast explanations.

автор: Vikas Y

20 авг. 2018 г.


Give some more insights of the basics.

автор: Serge B

5 июля 2018 г.

exercices should be explained in a clearer way

автор: Jaap d K

23 мар. 2018 г.

Nice introduction. Learned a lot about Pandas.

автор: Takayuki S

13 мар. 2018 г.

It took a while to complete, but was worth it!

автор: estelle B

4 окт. 2020 г.

should be done after good knowledge of Python

автор: Prakash B

9 авг. 2020 г.

one of the best course for the data scientist

автор: GOUTHAM R K

18 июля 2020 г.

Good ,But its not recommended for beginners .

автор: Islombek A

2 окт. 2019 г.

Quite good, but mostly I need to learn on web

автор: Neha b

20 июля 2019 г.

great course, very good learning opportunity.

автор: Soumya G

15 апр. 2018 г.

This course is not for new learners of Python

автор: Irena M

6 мар. 2018 г.

Lectures should be longer witjh more details.

автор: Soo H K

18 июня 2017 г.

kind of tough to catch up with as a beginner.

автор: Adnan A

22 дек. 2016 г.

Course should be more interactive and details

автор: Anmol S

6 июля 2020 г.

Good Course but a lot more can be explained.

автор: JULIO C R G

6 июня 2020 г.

Instructions not clear enough on assignments

автор: 郭雪舟

19 сент. 2019 г.

The assignments and project are very useful!

автор: Rich L

26 сент. 2018 г.

Great introduction but a bit vague at points

автор: Mitchell J

27 апр. 2017 г.

Good course to get you thinking about python

автор: Mary

22 апр. 2017 г.

Good course the assignments were challenging

автор: Aditya R S

14 июля 2020 г.

A bit overboard but practically well built!

автор: Jayabharathi

20 июня 2020 г.

really useful for this lockdown situation..

автор: Sudipta R

24 мая 2020 г.

It's a perfect course to beginning with ML.