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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: 25,783
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:

5226–5250 из 5,689 отзывов о курсе Introduction to Data Science in Python

автор: Peter D

2 апр. 2018 г.

The course assignments were very tough for me, much harder than I anticipated...

автор: Keith H

29 апр. 2017 г.

a decent introduction into the world of python dataframes via the pandas library

автор: Ignacio Y M

6 февр. 2022 г.

Ejercicios demasiado elaborados y complejos, requirere mucho tiempo de trabajo.

автор: Oswaldo C

29 июня 2020 г.

You have to make a lot of research on pandas documentation to do the assigments

автор: Mr Q

27 июня 2020 г.

Typical school concept. Lessons level 1, quizzes level 3, assignments level 50.

автор: Sid J

18 авг. 2019 г.

Bit faster than expected, should have disclaimer to learn pandas basics first.

автор: ti t h

27 окт. 2018 г.

Auto grader needs to give more feedback. Too many things to learn by yourself

автор: Anil K N

22 июня 2019 г.

There should have been more quizzing assignments rather than the coding ones

автор: ANANYA J

29 июня 2020 г.

in starting course is good but at the end it will become boring and lengthy

автор: Thiago J M M

21 апр. 2020 г.

Os exercícios estão em nível absurdamente complicados emm relação as aulas!

автор: Thomas G

25 сент. 2019 г.

It's really informative, but there is too little instruction in my opinion.

автор: Jens R

28 нояб. 2018 г.

In my point of view, the lectures and the assignments are not well matched.

автор: Jai L 1

13 апр. 2020 г.

Tutotial videos of jupyter are very fast and need much time to understand.

автор: Srikanth G

10 нояб. 2019 г.

It would be nice if we have more explanation for questions in Assignments.

автор: Shiva K

23 июля 2020 г.

Very fast explanation and coding is also very fast and hard to understand

автор: Wong L C

14 нояб. 2018 г.

Overall is good but the contents seem to be a bit difficult and too rush.

автор: Premjith B

21 нояб. 2016 г.

The assignments were good but it was a lot of time spent with the grader.

автор: Eric L

20 мар. 2021 г.

submitting the assignments with the autograding is extremely frustrating

автор: Thi T H N

22 авг. 2019 г.

The course is not well organised. However, the projects are interesting.

автор: Ryan S

22 нояб. 2017 г.

homework format of outputting values from functions needs to be improved

автор: Abhishek P

10 мая 2020 г.

Course way too easy and has quite less information/knowledge to offer.

автор: Shivam P

26 июня 2020 г.

The assignment is too difficult compared to what they teach in course

автор: tushar s

20 июня 2020 г.

Not providing in-depth knowledge of functions through video lectures.

автор: Chirag S

18 мая 2020 г.

Expected a detailed explanation instead got a very brief explanation.

автор: Christopher C

30 мар. 2020 г.

Only a few resources. Each Jupyter Notebook lack context and comments