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Foundations of Data Science: K-Means Clustering in Python
University of LondonAbout this Course
You will need mathematical and statistical knowledge and skills at least at high-school level.
What you will learn
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.
Skills you will gain
- K-Means Clustering
- Machine Learning
- Programming in Python
You will need mathematical and statistical knowledge and skills at least at high-school level.
Syllabus - What you will learn from this course
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
Reviews
- 5 stars72.57%
- 4 stars21.14%
- 3 stars3.61%
- 2 stars1.33%
- 1 star1.33%
TOP REVIEWS FROM FOUNDATIONS OF DATA SCIENCE: K-MEANS CLUSTERING IN PYTHON
This course is at right level for a beginner (python and analytics) while going into details around K means clustering
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.
This course gives us a good balance between theory and practice. I wish there was an intermediate or advanced level to continue.
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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