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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: 25,190
Рецензии: 5,622

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

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.

Фильтр по:

4376–4400 из 5,568 отзывов о курсе Introduction to Data Science in Python

автор: Shiv K K

28 дек. 2017 г.

Was extremely difficult to get the responses to all the assignments!!

автор: Ishita A

24 апр. 2020 г.

A little difficult for a beginner to follow but the course was good.

автор: Jagrut N S

18 янв. 2020 г.

It's really highly detailed and very good course for Data Scientist.

автор: Usman A

7 апр. 2019 г.

brilliantly maintained and organized courses , but not for beginners

автор: Deleted A

27 июня 2018 г.

A good python intro to familiarize with basic data science packages.

автор: Kartik S

6 июня 2018 г.

Outstanding course to get a kick start in the field of Data Science.

автор: Chinmay P

22 дек. 2017 г.

Was a good course that touched up most of the basic python concepts.

автор: CHAKSHU G

18 янв. 2017 г.

Finding optimal solutions for the assignments would have helped more

автор: Laura V T T

16 мая 2021 г.

Great introductory course, easy to follow and challenging exercises


3 февр. 2021 г.

I think some feedback on assignments would be helpful for progress.

автор: yotam h

22 мар. 2020 г.

great course! highly recommended if you like struggling by yourself

автор: nitin R

19 мар. 2020 г.

Course content is really good but can be explained in a better way.

автор: Vishen M

18 окт. 2017 г.

Really enjoyed. Assignments take a lot of time, but you learn alot.

автор: Ariana S C

17 авг. 2017 г.

Assignments need to provide better feedback when there is an error

автор: Vignesh R

8 авг. 2017 г.

Assignments are really good.Video Tutorials could have been better.

автор: Giannis A

29 дек. 2016 г.

Nice lecture. Needs to have more videos and more advanced tutorials

автор: Naymur R

14 июля 2020 г.

The Course Syllabus was too much good and better lecture quality .

автор: Veeresh I

31 мар. 2020 г.

Good course to learn the basic concepts to start with Data Science

автор: Sean L

18 окт. 2019 г.

Learned a lot, but mostly by self-learning when doing assignments.

автор: Yufei H

14 мая 2019 г.

Chapter 2 and 3 are good for me, the rest chapters are too simple.

автор: Ashley R

20 нояб. 2018 г.

some questions were vague but i guess thats part of the real world

автор: Aliyu A

12 сент. 2017 г.

A very good course. recommended for a intermediate data scientists

автор: aaron_lang

27 июля 2017 г.

Overall, the course is pretty good in terms of practice questions.

автор: Elana A

22 мар. 2017 г.

Great course and valuable information, but frustrating autograder.

автор: soham v s

3 нояб. 2021 г.

it is good course for beginers , jupiter notebook is also a good.