Data Science and Artificial Intelligence

Main Objective

This 8-week program offers a fast, hands-on introduction to Data Science and AI, focused on supervised learning. It equips both technical professionals and business leaders with the tools to apply AI in real-world scenarios.

Learning Outcomes

Knowledge

• Core concepts in data science and supervised learning
• Data analysis, visualization, and model evaluation
• Strategic use of AI in productivity and decision-making

Skills

• Python-based data wrangling, EDA, and model development
• Translating business needs into AI solutions
• Communicating insights effectively

Competences

• Technical: Build and deploy machine learning models
• Business: Identify and lead AI initiatives within your organization

Key Topics

• Data science workflow and Python foundations
• Exploratory data analysis and feature engineering
• Supervised learning: regression, classification, model tuning
• Real-world AI applications in business and tech
• Capstone project solving an actual industry challenge

Course Structure

Weeks 1–2
Foundations of data science and Python
Data cleaning and visualization

Weeks 3–4
Supervised learning models and evaluation
Feature engineering and accuracy improvement

Weeks 5–6
Choose a track:
Technical: Model building, ML libraries, intro to deployment
Business: AI tools, automation, implementation planning

Weeks 7–8
Capstone project and final presentations
Apply your learning to a real problem and showcase your solution

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