Target Audience: Undergraduate, Graduate
Delivery Mode: Onsite and Online
Languages: Spanish and English
Total Duration: 30 hours
Online: 30 hours
Accreditation: Selart European University Certificate
Course content:
- Session 1: Introduction to Data Science and Machine Learning
- Session 2: Tools and Environment
- Session 3: Data Cleaning and Preparation
- Session 4: Data Visualization
- Session 5: Machine Learning Basics
- Session 6: Implementing Models with Scikit-learn
- Session 7: Clustering Algorithms
- Session 8: Real-World Dataset Applications
- Session 9: Mini-Project
- Session 10: Final Project Presentation
Skills to be developed:
- Basis of data knowledge
- Knowledge of real-world datasets
- Build predictive models
