Course/Training Data Science — Applying PCA (Principal Component Analysis)
Training Course: Data Science - Applying PCA (Principal Component Analysis) - complete material from basics to advanced, suitable for beginners and professionals looking to improve their skills.
Syllabus
•Session 1 (1.5 hrs): Introduction to Data Science ~ Applying PCA (Principal Component Analysis) for Dimensionality Reduction in Health Data: history, uses, and industry scope
•Session 2 (1.5 hrs): Installation & initial configuration in Data Science ~ Applying PCA (Principal Component Analysis) for Dimensionality Reduction in Health Data
•Session 3 (1.5 hrs): Getting to Know the Interface and Basic Navigation
•Session 5 (1.5 hrs): Tools & Main Menu: Functions and Basic Usage
•Session 6 (1.5 hrs): Basic Practice: Creating the First Project
•Session 7 (1.5 hrs): Import & export basic files in Data Science ~ Applying PCA (Principal Component Analysis) for Dimensionality Reduction in Health Data
•Session 9 (1.5 hrs): Simple case study: Data Science application ~ Applying PCA (Principal Component Analysis) for Dimensionality Reduction in Health Data in the workplace
•Session 10 (1.5 hrs): Review basic material & understanding quiz