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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: 24,685
Рецензии: 5,538

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

15 мар. 2018 г.

overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .

Фильтр по:

4276–4300 из 5,483 отзывов о курсе Introduction to Data Science in Python

автор: Jesús P A

23 февр. 2017 г.

Perfect to get hands on with python programming for data science purposes.

автор: Niraj K

22 дек. 2016 г.

Great course, Gives good outline to navigate through the essential content

автор: yasmina D

17 июля 2020 г.

i wish we could have some practise assignements like in the other courses

автор: Anuj K

21 янв. 2020 г.

Coding environment should be improved. Assignments should be more guiding

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: 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: 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.