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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Foundations of Data Science: K-Means Clustering in Python
Université de LondresÀ propos de ce cours
You will need mathematical and statistical knowledge and skills at least at high-school level.
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
You will need mathematical and statistical knowledge and skills at least at high-school level.
Programme de cours : ce que vous apprendrez dans ce cours
Week 1: Foundations of Data Science: K-Means Clustering in Python
Week 2: Means and Deviations in Mathematics and Python
Week 3: Moving from One to Two Dimensional Data
Week 4: Introducing Pandas and Using K-Means to Analyse Data
Avis
- 5 stars72,69 %
- 4 stars21,61 %
- 3 stars3,33 %
- 2 stars1,37 %
- 1 star0,98 %
Meilleurs avis pour FOUNDATIONS OF DATA SCIENCE: K-MEANS CLUSTERING IN PYTHON
Highly recommended to anyone who wants to delve into data science. The instruuctors, the universities and Coursera team are well dedicated and the course is of high quality.
This course is at right level for a beginner (python and analytics) while going into details around K means clustering
This course gives us a good balance between theory and practice. I wish there was an intermediate or advanced level to continue.
I liked it, very usefull and objective guide to implemt the algorithm, I also liked the format, many short videos wich is great to keep concentration
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