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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: 25,652
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


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.


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:

4276–4300 из 5,666 отзывов о курсе Introduction to Data Science in Python

автор: dufang

4 нояб. 2019 г.

assignment is too hard, and no guide for it. It takes too much time search relavant information.

автор: Anubhav N

4 июня 2018 г.

The course material should be more aligned with the level of questions asked in the assignments.

автор: anshu p

29 мая 2020 г.

No doubt this is the awesome course which lets you explore your wings into this exciting field.

автор: Suresh C

23 сент. 2019 г.

I wish there is more lecture material provided on dataframes, especially mechanics of grouping.

автор: XIA S

30 дек. 2018 г.

The assignment is DOPE lol, but nice support from the discussion form! Really great experience!

автор: 于涛

6 дек. 2018 г.

a little bit too hard in some assignments, need lots of time to learn by yourself from internet

автор: Mauricio A E G M

19 нояб. 2018 г.

In my opinion, the best thing that has this course are assignments, I learned a lot doing them.

автор: Houyi D

21 мая 2018 г.

I think the material is still small. I think it still could include more things in this course.

автор: Hugo S S

27 мая 2017 г.

Very good course although the assagissements are a little bit too difficult (at least to me...)

автор: Ramprakash V

9 апр. 2017 г.

A worthy course to begin Python & Data Science with. I enjoyed learning Data Science in Python.

автор: Zhijun C

27 мар. 2017 г.

Hope that lecture videos could be longer. Anyway, it is a great course, I really learned a lot.

автор: Md. S K A

21 сент. 2019 г.

Excellent and focused on application. But the instructions for assignments need to be refined.

автор: Vivek R

27 июля 2019 г.

The course is good. But is very fast-paced. You do need to have a good experience with python.

автор: Akila R

7 дек. 2017 г.

The final assignment is very tough and needs more tutorial help and more descriptive questions

автор: Jakob S M

17 июля 2017 г.

Grate material.

Some of the videos are not correctly cut, making them a bit confusing at times

автор: Da Z

12 мар. 2017 г.

requires too much self-learning,could be overwhelming to those who lack concrete python basics

автор: Long Z

17 янв. 2017 г.


автор: Nuno d S

11 дек. 2016 г.

Very nice course. The only problem that I found was the lack of exercises between assignments.

автор: Paweł R

3 дек. 2016 г.

Good introductory course, but I must admit that the assignments are not explained well enough.

автор: VENKAT K K

19 янв. 2021 г.

Assignments were a bit tough(had to do a bit of searching on net) but the lectures were good.

автор: Ali A

12 мар. 2020 г.

it was really a good course, But there should be detailed explanations as it is for beginners

автор: Daan L

3 мар. 2020 г.

The autograder was very frustrating, threw a lot of errors. Course content was great though!!

автор: Rohit R W

29 июля 2019 г.

These course is very good for data science with python in future for job purpose in industry.

автор: Gonzalo R G

12 февр. 2018 г.

The course is quite complete but it lacks a bit of extra formation towards the last exercise.

автор: Gareth J

19 нояб. 2017 г.

A good course. The timescale for completion is realistic and the assessments are not trivial.