学生对 University of Michigan 提供的 Introduction to Data Science in Python 的评价和反馈
课程概述
热门审阅
ME
Jul 26, 2020
Quizzes were very challenging and interesting. I learned alot. The main drawback in this course is that the materials are insufficient to answer the assignments.And some questions were not so clear.
DR
Aug 24, 2017
The course is good but the oral explanations are at times very tiresome. A more constructive approach in which the explanations are followed by step-by-step examples whould be far better.Best regards
1376 - Introduction to Data Science in Python 的 1400 个评论(共 5,994 个)
创建者 Volodymyr Z
•Nov 29, 2020
A lot of interesting, mind-changing ideas and approaches to processing data. Very suitable for beginners in Python
创建者 GARGEYA S
•Sep 4, 2020
There should be more content to practice and study, if assignments are such a killer! Rest Everything was amazing.
创建者 Alejandro R L
•Aug 14, 2020
I rank it with a five because I learned a lot, anyway I think you leave too much content to investigate on our own
创建者 Mayank S 1
•Jul 1, 2020
An Amazing Course for starting off with DataScience If you have basic Knowledge of Python and a Knack for learning
创建者 Prakhar J
•Mar 29, 2020
I feel confident after doing courses on Coursera. It provides excellent assignments to boost knowledge and skills.
创建者 Manuel V Y
•Aug 12, 2018
Really good and interesting, thanks for the reinforcement of the pandorable language and the use of Map and apply.
创建者 maulana a
•Jul 29, 2018
This course really helps me out to understand and get better insight about how to use python in data science field
创建者 ANURAG M
•Mar 29, 2017
I really liked the course and how it introduces Python to beginners. Kudos to Coursera and University of Michigan!
创建者 Deleted A
•Feb 22, 2017
This is an amazing course. The teacher (Chris) is fantastic, extremely clear and a pleasure to listen his classes.
创建者 Victor d P R
•Feb 19, 2017
The course's content is great but the fact that we have to search by our self's for the tests was the best for me.
创建者 Kyuho L
•Mar 13, 2022
It is very difficult for novice. It should be reconstructed for first-comer to explain more contents in text book
创建者 Carlos D Z R
•Oct 2, 2021
I highly recommend this course. The tutors were clear in their explanations and proposed challenges to carry out.
创建者 piyush p
•Aug 18, 2021
it was an interesting course and i learned many function about python and how to analyze data through this course
创建者 Nicolás V
•Sep 9, 2020
Awesome course! Way better than most introductory courses related to the use Python in a context of Data Science.
创建者 AbdulAziz I A
•Jun 6, 2020
Very much liked the course, would recommend to my siblings and to other friends that are into this type of field.
创建者 Camilo F M
•May 19, 2020
Great introduction to Data Science. Christopher Brooks is great at explaining complex ideas on a very simple way.
创建者 Samiul I
•May 5, 2020
Amazing course for beginners. Hands-on practice on pandas library using python. Assignments help learning better.
创建者 Sérgio M
•Mar 26, 2020
Learned a lot of things about pandas that I never knew before. Great course, great teacher, excellent assignments
创建者 Naveen K
•Oct 11, 2018
I had a good learning experience with your website. It really helped a lot in completing this course. Thanks you!
创建者 Justin E
•Jan 22, 2018
Challenging, fun, and informative. Highly recommended if you think Python will be useful in your day-to-day work.
创建者 Alfredo C
•Dec 28, 2016
i loved the course!. This was my first experience on Data Science and I really liked the approach to the subject.
创建者 shashi k
•Jun 1, 2021
Nice introduction to python and pandas.It is great for begineers.I learned a lot from course especially pandas.
创建者 Rengarajan R
•Aug 14, 2020
Best course for Introduction to DataScience, This course need a lot of self learning and also a lot of homework.
创建者 Bruno S F C H S
•Jul 13, 2020
Excellente course to start learning Python, or review some important topics. Laso use it applied on a real data.
创建者 Adrian L
•Nov 10, 2019
This is a great introductory course for learning python (data types, data wrangling, simple hypothesis testing).