Statistics and Clustering in Python

Coursera MOOC / Non-credit USD 49

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Statistics and Clustering in Python

About this course

This course is the sixth of eight courses. This project provides an in-depth exploration of key Data Science concepts focusing on algorithm design. It enhances essential mathematics, statistics, and programming skills required for common data analysis tasks. You will engage in a variety of mathematical and programming exercises while completing a data clustering project using the K-means algorithm on a provided dataset.

What you'll learn

understanding the K-means clustering algorithm
applying statistical concepts to real-world data
programming in Python for data analysis
designing algorithms for data clustering

Course objectives

to equip students with practical skills in data analysis
to develop understanding of algorithm design principles
to enhance proficiency in Python programming for statistical tasks

Skills you'll gain

python data analysis data science statistics programming mathematics data clustering algorithm design statistical concepts k-means

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