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

Оценки: 24,558
Рецензии: 5,516

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:

4076–4100 из 5,467 отзывов о курсе Introduction to Data Science in Python

автор: Manjeet K

1 сент. 2019 г.

Best for learning handling data in Python...just do the assignments honestly using StackOverflow suggestions.

автор: Jayaprakash K S

15 авг. 2018 г.

I felt some lectures where really fast and too crisp to understand easily. But most of the where really good.

автор: xiongxr

16 апр. 2018 г.

It's so good to make progress. It would be much better that if the description of the assignment is clearer .

автор: Ashwini B

30 дек. 2017 г.

Overall, the course was good.But the explanation provided in the video is too fast for a beginner to pick up.

автор: Sagor A

22 сент. 2020 г.

Overall this course is quite hard. But I'm happy that, I've learned a lot of new stuffs through this course.

автор: Nehir Y

28 июня 2020 г.

Assignments are very challenging and they truly helped me get a good grip of the basics of coding in Python.

автор: Vaibhav U

19 июня 2020 г.

Great content just needs some basic knowledge and you will definitely enjoy this course.

Thank you, Coursera!

автор: Sunil M

6 мар. 2017 г.

it is a 5 star course but I am giving it a 4 star primarily because of the pace was very very fast for me...

автор: Juan M M P

28 мая 2020 г.

They should give us a database of the useful functions for assignments as some are really difficult to find

автор: Eric

8 сент. 2017 г.

I liked the course and the subject matter. Not sold on the auto grader but understand why it is necessary.

автор: Nacho T

3 февр. 2021 г.

Great introduction course, some assignments are not clear, but with Google and the forum you can pass all.

автор: ROHIT J

30 июня 2020 г.

i think the course was good.i am really happy that i completed it.but i find the course little fast paced.

автор: Hrushabh K

8 июня 2020 г.

Nice course! Professor Brooks taught things in a compact and comprehensive way. Assignments are intuitive.

автор: Muhammad s k

16 сент. 2019 г.

It provides good hands-on experience through assignments but the explanation in lectures is in-sufficient.

автор: Omer A

3 февр. 2019 г.

The auto-grader should return much more intuitive descriptions for why the grade is lower than full grade.

автор: Charles M

2 окт. 2018 г.

Most of the lectures are good, and the assignments are good. There are just a few problems here and there.

автор: Paul W

6 мая 2018 г.

This course really challenges you to get in there and deeply learn pandas. I am very happy with the course

автор: Jessica S

12 нояб. 2017 г.

Good teaching and learning but quite a lot of personal work and the examples are all but fun to work with.

автор: shoeb k

15 июня 2017 г.

Good to start on Data Science covers a good starter point, giving a practical approach and theory as well.

автор: Joseph R

13 сент. 2021 г.

El curso es bastante bueno y tiene buenos contenidos. Revisar las instrucciones en la asignaciones 3 y 4.

автор: SERGIO R E K

5 сент. 2020 г.

I had a great time learning the contents, but I feel some of the lectures were too fast, at least for me.

автор: Avneet K

14 авг. 2020 г.

Content,Assignments and Tutor were Excellent but More Explanation about each topic would have been better

автор: Vinh T

26 янв. 2017 г.

good when it's been around for a while, else frustrated with a lot of unclear instruction and no support.

автор: BRIONES, D M (

26 июня 2020 г.

Very helpful and convenient, although some assignments required multiple runs to get the desired results

автор: Radu B

11 июня 2017 г.

Assignments were not specific enough about their requirements and how they will be tested for the grade.