AI & Data Science

Phase 1: Foundation & Logic

Understand the ‘Gold’ value of data, master the Python basics (Pandas), and learn to ask high-value business questions.

Phase 2: Building the Insight

Perform deep data cleaning and create high-impact visualizations that reveal hidden trends to stakeholders.

Phase 3: Refinement & ML Training

Introduce Machine Learning by training and testing your first prediction model using Scikit-Learn and AI speed-agents.

Phase 4: Professional Case Study Launch

Publish your best analysis as a ‘Business Case Study’ on LinkedIn/GitHub, proving you can transform data into money.

Phase 5: Earning & Consulting Strategy

Launch your consultancy on Upwork, master high-value niche bidding, and build a scaling plan for an AI Data Agency.