Course Description

"Foundations of Data Science: K-Means Clustering in Python" is a beginner-level course offered by University of London in partnership with Goldsmiths, University of London. This course is designed to provide students with a comprehensive understanding of K-Means Clustering in Python, a popular data analysis technique used for identifying patterns in large datasets. Through this course, students will develop skills in data analysis, computer programming, Python programming, statistical analysis, statistical programming, algorithms, applied machine learning, data visualization, and machine learning algorithms. With a rating of 4.6 out of 5 stars and over 657 reviews, this course is highly recommended by past students. The duration of the course is 1 to 3 months, during which students will learn the fundamentals of K-Means Clustering in Python and how to apply it to real-world data. By the end of the course, students will have a strong foundation in data science and be able to use K-M