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.
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Université de Londres
Goldsmiths, Université de Londres
Foundations of Data Science: K-Means Clustering in Python
Université de LondresÀ propos de ce cours
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Niveau débutant
You will need mathematical and statistical knowledge and skills at least at high-school level.
Approx. 29 heures pour terminer
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Ce que vous allez apprendre
Define and explain the key concepts of data clustering
Demonstrate understanding of the key constructs and features of the Python language.
Implement in Python the principle steps of the K-means algorithm.
Design and execute a whole data clustering workflow and interpret the outputs.
Compétences que vous acquerrez
- K-Means Clustering
- Machine Learning
- Programming in Python
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau débutant
You will need mathematical and statistical knowledge and skills at least at high-school level.
Approx. 29 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Anglais, Espagnol
Offert par
Université de Londres
The University of London is a federal University which includes 18 world leading Colleges. Our distance learning programmes were founded in 1858 and have enriched the lives of thousands of students, delivering high quality University of London degrees wherever our students are across the globe. Our alumni include 7 Nobel Prize winners. Today, we are a global leader in distance and flexible study, offering degree programmes to over 50,000 students in over 180 countries. To find out more about studying for one of our degrees where you are, visit www.london.ac.uk
Goldsmiths, Université de Londres
Championing research-rich degrees that provoke thought, stretch the imagination and tap into tomorrow’s world, at Goldsmiths we’re asking the questions that matter now in subjects as diverse as the arts and humanities, social sciences, cultural studies, computing, and entrepreneurial business and management. We are a community defined by its people: innovative in spirit, analytical in approach and open to all.
Programme de cours : ce que vous apprendrez dans ce cours
7 heures pour terminer
Week 1: Foundations of Data Science: K-Means Clustering in Python
This week we will introduce you to the course and to the team who will be guiding you through the course over the next 5 weeks. The aim of this week's material is to gently introduce you to Data Science through some real-world examples of where Data Science is used, and also by highlighting some of the main concepts involved.
7 heures pour terminer
9 vidéos (Total 22 min)
4 heures pour terminer
Week 2: Means and Deviations in Mathematics and Python
4 heures pour terminer
11 vidéos (Total 37 min), 4 lectures, 11 quiz
8 heures pour terminer
Week 3: Moving from One to Two Dimensional Data
8 heures pour terminer
16 vidéos (Total 53 min), 10 lectures, 15 quiz
4 heures pour terminer
Week 4: Introducing Pandas and Using K-Means to Analyse Data
4 heures pour terminer
8 vidéos (Total 37 min), 6 lectures, 8 quiz
Avis
- 5 stars72,78 %
- 4 stars21,38 %
- 3 stars3,67 %
- 2 stars1,29 %
- 1 star0,86 %
Meilleurs avis pour FOUNDATIONS OF DATA SCIENCE: K-MEANS CLUSTERING IN PYTHON
par AA3 juin 2019
This course is at right level for a beginner (python and analytics) while going into details around K means clustering
par MP12 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 AH3 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 TF11 juil. 2022
I learnt alot, a very good foundation course. It made me have more interest in learning more in Data Science particularly using Python language
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