Machine Learning 1: Data Profiling

This badge is earned by successfully completing the Machine Learning 1: Data Profiling course at Maven Analytics. COURSE HOURS: 3.5 COURSE DESCRIPTION: This course is Part 1 of a 4 part series designed to help you build a fundamental understanding of machine learning, including data profiling, classification, regression & forecasting, and unsupervised learning. In this course we’ll introduce the machine learning landscape and workflow, and review critical QA tips for cleaning and preparing raw data for analysis, including variable types, empty values, range & count calculations, table structures, and more. We’ll cover univariate analysis with frequency tables, histograms, kernel densities, and profiling metrics, then dive into multivariate profiling tools like heat maps, violin & box plots, scatter plots, and correlation. Throughout the course we’ll introduce case studies to solidify key concepts and tie them back to real world scenarios. You’ll clean up product inventory data for a local grocery, explore demographics for Olympic athletes, visualize traffic accident frequency in New York Ciy, and more. If you’re ready to build the foundation for a successful career in data science, this is the course for you.