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: 25,927

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


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.


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

Фильтр по:

4701–4725 из 5,724 отзывов о курсе Introduction to Data Science in Python

автор: Weizhi L

6 сент. 2020 г.

The skills I learned are quite useful.

автор: Sathyanarayana V

9 мая 2020 г.

The online platform has trouble saving

автор: Narendhra G

5 мая 2020 г.

Thanks for the giving good stuff to me

автор: Kevin D

18 мая 2018 г.

Challenging and worthwhile for a MOOC.

автор: Smit D P

28 апр. 2020 г.

Some assignments questions are tough.

автор: Stam_Chen

23 сент. 2019 г.

Some interesting usage of the python.

автор: Yongchang S

13 февр. 2019 г.

Too much bug but the forum is helpful

автор: lijialiu

18 авг. 2017 г.

the grading system should be improved

автор: Xinyu L

12 янв. 2017 г.

The instructor should lower the speed

автор: Gunda s a

11 сент. 2020 г.

wonderful app to develop your skills

автор: Prashant r

29 июля 2020 г.

amazing experience and a good course

автор: Hang Z

13 июня 2020 г.

a bit hard for new learner, but good

автор: Alzum S M

28 мар. 2019 г.

I have learnt a lot from this course

автор: Artiom

5 дек. 2017 г.

Pretty cool course, fun assignments.

автор: Srishti R

16 авг. 2020 г.

Very informative, loved this course

автор: Kalluru A R k

23 июля 2020 г.

Very good course for the beginners.

автор: Akash K

22 июня 2020 г.

A little hard but very informative.

автор: ankit k

18 мая 2020 г.

please enhance lecture delivery way

автор: ANKIT S R

26 апр. 2020 г.

Nice course , and very informative.

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