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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 stars72.65%
- 4 stars21.48%
- 3 stars3.32%
- 2 stars1.36%
- 1 star1.17%
TOP REVIEWS FROM FOUNDATIONS OF DATA SCIENCE: K-MEANS CLUSTERING IN PYTHON
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.
It was a great journey to get through it. Thanks a lot to all the instructors for their valuable job and effort :)
This 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.
This course gives us a good balance between theory and practice. I wish there was an intermediate or advanced level to continue.
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