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Foundations of Data Science: K-Means Clustering in Python(으)로 돌아가기

런던 대학교의 Foundations of Data Science: K-Means Clustering in Python 학습자 리뷰 및 피드백

4.7
별점
372개의 평가
119개의 리뷰

강좌 소개

Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government. This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. It focuses on the basic mathematics, statistics and programming skills that are necessary for typical data analysis tasks. You will consider these fundamental concepts on an example data clustering task, and you will use this example to learn basic programming skills that are necessary for mastering Data Science techniques. During the course, you will be asked to do a series of mathematical and programming exercises and a small data clustering project for a given dataset....

최상위 리뷰

GK
2021년 8월 31일

This course has great potential for future Data Scientists and it gives a breif explination of what we are dealing in the companies by giving us real life problems and making us solve those problems.

AH
2020년 6월 3일

I love this course as it gives me the foundations of learning the Python coding program and relevant statistical methods that used for data analysis. It's really interesting course to attend to.

필터링 기준:

Foundations of Data Science: K-Means Clustering in Python의 119개 리뷰 중 101~119

교육 기관: Jesus R

2019년 9월 25일

The lessons based on maths had a lot of text; it would have been better to base it more on graphics or imagery, since it was confusing to follow speech and text on video at the same time.

교육 기관: Soumya S

2020년 5월 1일

It is a very detailed and well planned course. However, there could have been a few lectures at the end on training set, testing set etc.

교육 기관: Leonard J

2020년 8월 9일

Very good course to help you understand the basics of data science, the videos are short so will not cover everything you need

교육 기관: Chintoo K

2020년 5월 31일

It was a great journey to get through it. Thanks a lot to all the instructors for their valuable job and effort :)

교육 기관: Jason A

2020년 2월 18일

Good intro into K-means clustering. Some great introductory math tutorials and basic python programming.

교육 기관: Gangolli, V

2020년 9월 20일

It is a good one for the beginner who is ready to give dedicated time.

교육 기관: Peggy L

2021년 4월 5일

useful. it will be better if you have some basic knowledge on python

교육 기관: Yeung K Y

2020년 10월 14일

Good content and I would recommend my friends for it.

교육 기관: Bhawna D

2019년 9월 24일

More time should be given in the coding part.

교육 기관: Leo G

2021년 6월 28일

A​n introductory course all together.

교육 기관: Jaison M

2020년 4월 30일

Very good if new to data science

교육 기관: DIVYESH M

2020년 7월 12일

Nice course for New learner

교육 기관: KASIVAJHULA S K

2020년 5월 13일

GREAT COURSE!

교육 기관: Jonathan B

2020년 12월 15일

All the statistics and k-Means algorithms are well explained, but there is much missing guidance on how to conduct the final project.

교육 기관: Ryan N

2020년 9월 27일

Mathematics taught is very abstract. Not many practice examples and linkage to practical side. Not much guidance on guided projects.

교육 기관: Anton S

2019년 8월 17일

Good introduction to k-means clustering using Python. Easy for follow.

교육 기관: Gagan P P

2020년 5월 21일

Good course.. But self study also needed...

교육 기관: Margaret M L

2021년 1월 20일

You should be able to transcribe the code which is presented into Jupyter Notebooks as is. This is now the second time I have done so and I am guessing some of the needed code was left out as the code does not work. How can students be expected to complete assignments when the Instructor's code is not reproducible?