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.
Dispersion: Multidimensional Variables
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Skills You'll Learn
Data Analysis, Descriptive Statistics, Data Manipulation, Probability & Statistics, NumPy, Unsupervised Learning, Jupyter, Data Science, Pandas (Python Package), Matplotlib, Statistical Analysis, Machine Learning Algorithms, Python Programming, Data Visualization Software, Statistics
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From the lesson
Week 2: Moving from One to Two Dimensional Data
This week, we will explore mathematics for multidimensional data. You will also learn how to work with multidimensional data in Python.
Taught By
Robert Zimmer
Professor