DATA 8003 - APPLIED DATA SCIENCE

This course is the fourth of four courses that count toward the IBM Data Science Professional Certificate. It aims to empower learners to effectively implement data visualization techniques and machine learning algorithms using Python. The course explores various plotting libraries alongside advanced visualization concepts and interactive dashboard development. The course emphasizes understanding different types of machine learning algorithms, including their applications and comparative analysis. Students will write Python code to implement classification techniques such as k-nearest neighbors (KNN) and decision trees. By the course’s end, students will be adept at creating, evaluating, and optimizing machine learning models for predictive analysis.

Prerequisites & Notes
DATA 7003

Credits: 3