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Avis et commentaires pour d'étudiants pour Foundations of Data Science: K-Means Clustering in Python par Université de Londres

4.7
étoiles
372 évaluations
119 avis

À propos du cours

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....

Meilleurs avis

GK
31 août 2021

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
3 juin 2020

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.

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26 - 50 sur 119 Avis pour Foundations of Data Science: K-Means Clustering in Python

par Vicky

12 sept. 2020

The course content is great. I especially enjoyed Week 4—the lecturer was concise and engaging. There are lots of people plagiarising others' work by screenshotting their charts though and re-submitting their work which is sad. This course would benefit from a summary at the end of week 5 explaining what conclusions we might or should have come to.

par Rudresh R V

30 juil. 2020

This is a perfect course for those who just dove into the ocean of data science. This course teaches you with the very beginning and you can easily tackle everything even you don't know anything about data science. I highly recommend everyone to start with this foundation level course if you want to excel in the field fo Data Science.

par Sem A

29 oct. 2020

A very enjoyable course that has opened my eyes to data science. Not coming from a data / mathematical background is not a huge drawback, but be prepared to read around the subject matter if you want to gain a better appreciation of the course slides and videos. Very happy that I found this course.

par edajima h

15 juil. 2020

I think this is a very good course for beginners in Data Science and Python. I know how to implement K-means algorithm but wanted to learn Python, so I took this course. It is well organized, and videos are short and concise. I am looking forward to more intermediate / advanced courses of this.

par Yuanita S

15 juin 2021

I thoroughly enjoyed the course. The tutors were great and the videos were of excellent quality. As a novice in Python, this course gave me a gentle yet sufficient introduction to the basics of Python along with some of its powerful packages: Pandas, NumPy&Matplotlib and Scikit-learn.

par Tarik S

21 juin 2020

Great course. It involves a lot of independent work but that is the nature of learning to programme in any language. Once you get down to doing the work the course is enjoyable and the learning curve is steep and therefore productive. Time well invested

par Tahereh R

19 avr. 2021

One of the best courses on machine learning that starts from the mathematical concept of k-means clustering and walks you through the algorithm and the programming step-by-step. Thanks a lot to the instructors!

par Gadde K

1 sept. 2021

T​his 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.

par Austin T L H

4 juin 2020

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.

par Manpreet P

3 janv. 2022

T​his course was excellent. Though I already knew the concepts in this course and the programing skills, it has inspired me to 100% take the MSC provided. Excellent lectures. Just Excellent.

par Marianne K M

29 juin 2020

Very interesting course! The lecturers explain concepts thoroughly which makes the concepts easy to understand even for people without much knowledge in Data Science

par Maria Z Z P

13 sept. 2020

It was a well-taught course. I felt that during the final project-making, students were not spoon-fed, instead, pushed us to become more creative.

par Hoi Y N

21 juil. 2021

Week 3 is a bit difficult for those who don't have a strong maths background. More explanation on the mathematics notations can be helpful.

par Prabir K S

25 juin 2021

A Great course which successfully marries both the mathematical/statistical foundations for K-Means and also its implementation in Python.

par Yordan И

27 juil. 2021

Very informative course. You can learn how to cluster and clisfy data and how to write down report on the given statistical analysis.

par Nicola T

25 févr. 2021

Complete and clear introductory course, recommended for people interested in understanding the basics of data science.

par sanmesh s

31 mai 2020

Amazing Course. I got the basic understanding of K-means clustering also assignments are very good and tricky also

par Ahmad N A

27 sept. 2021

awesome course, thanks for giving me new more knowledges and insights especially all about clustering in python

par Emi B

26 juin 2020

It gives you a really complete first glimpse into the clustering and data analysis world! Great teachers too!

par Sofia C

6 avr. 2021

Use some statistics packet and libraries for python, in a very useful way to started learning Data Science

par Pavel N

21 juil. 2020

It's a good introductory course that actually makes you start thinking about the subject of data science.

par syed r

25 mars 2021

Well structured course for beginners and assignments are good to test the knowledge of the each module.

par SAEED M A

13 mai 2020

I learned a more about Data Science K-Mean Clustering. very good design and practical.

par Muhammad A N

10 mai 2020

Found the course to be concise and informative; kept my interest going till the end

par Imran

2 oct. 2020

Nice introduction to Data science. It gives you a glimpse into the possibilities.