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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: 25,646
Рецензии: 5,715

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:

4201–4225 из 5,665 отзывов о курсе Introduction to Data Science in Python

автор: Jainil K S

15 авг. 2020 г.

It is an excellent course for the beginners. The way they teach is very nice. Also, used JUPYTER is very nice.

автор: Gabriel P D S

3 июля 2020 г.

The course is really great, but the assignments are way too hard in comparison to the contents of the lectures

автор: Harshad K

20 окт. 2019 г.

Everything is good just please provide a writing summary pdf/short notes of the skills taught after each week.

автор: 王奕能

31 авг. 2019 г.

The course overall is very helpful, but I felt a bit confused when doing homework with not enough instuctions.

автор: C.K. T

23 июля 2019 г.

good as a refresher -- data science using python is quickly becoming a basic life skills, think the new excel!

автор: Aditya K

24 февр. 2019 г.

If you already have some experience with data science go for it! or else please learn the concepts before hand

автор: Tejasvi A

2 авг. 2020 г.

Really good course. Tough homeworks, helpful forums. Definitely recommended if someone wants to learn pandas.

автор: Johan E C O

12 июля 2020 г.

I think some topics are hard to understand and need a deeper explanation, but in general the course was great

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