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

4.5
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Оценки: 25,787
Рецензии: 5,739

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

YY

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.

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

Фильтр по:

4426–4450 из 5,690 отзывов о курсе Introduction to Data Science in Python

автор: Anurag M

6 янв. 2020 г.

Assignments are really good but the pace of teaching can be improved upon

автор: Bernardo J

15 дек. 2017 г.

The assignment materials in the 3rd and 4th week need a SERIOUS make-over

автор: Ng Y H

19 нояб. 2017 г.

The lecture python examples could be closer to the homework requirements.

автор: Kevin D

26 июля 2017 г.

Interesting course with pretty useful interactive programming assignments

автор: Jorge G

30 авг. 2021 г.

It covers necessary topics for my job purposes, but it's not sufficient.

автор: Karan K

1 мая 2020 г.

It was great experience learning the basics of data science with python.

автор: Daniel M

18 нояб. 2019 г.

Very clear and straight to the point, yet a bit advanced for a beginner.

автор: dibyaranjan s

11 окт. 2019 г.

assignments are a bit tough, some of them are advanced than the teaching

автор: Dhara A

20 июля 2019 г.

it is really nice course which gives you complete basic of data analysis

автор: Deleted A

6 мар. 2019 г.

could have explained Hypothesis testing in better way with good examples

автор: AKI

30 янв. 2018 г.

great course!but some assignments lack of clear instruction or mistakes.

автор: Carolina F A

27 окт. 2017 г.

The course is pretty good. However, the tasks are no easy to understand.

автор: Mikhail

5 апр. 2017 г.

Sometimes need more words in tasks, so it can help understand it better.

автор: Andrey Z

5 февр. 2022 г.

I​nteresting course, with interesting practice assigments, i like them!

автор: ADITYA T

4 июля 2020 г.

Better teacher required.Language is very much technical,not simplified.

автор: TECOA167_Aditi T

23 апр. 2020 г.

need to give more examples on specific topics for better understanding.

автор: QI S

25 нояб. 2018 г.

learn a lot, but the questions are so tough, i uses much time to do it.

автор: Akshay M

8 февр. 2017 г.

Course is good. I learned a lot. But the pace of teaching is very fast.

автор: Martin C

28 нояб. 2021 г.

I​nteresting, but I wish we could have the teacher's code for my notes

автор: Mohamed E A H

1 мая 2021 г.

great course for who want to take the first step in data science field

автор: Divya P

26 янв. 2021 г.

Thanks, University of Michigan and Coursera for providing this course.

автор: Deepak G

31 мая 2020 г.

Well, the course is good if you are going for complete specialization.

автор: HARINI N

9 мая 2020 г.

This course was very useful, it helped me understand python in detail.

автор: Antoine W

16 февр. 2020 г.

Learned a lot, but you constantly have to fight against the autograder

автор: Rajib M

9 окт. 2019 г.

Course content is good but the explanations need to be more elaborate.