iPlan refined 280225

Firstly: https://www.youtube.com/watch?v=qX8a8tR90Kg

Refined Plan Breakdown

1. Immediate Focus (Now – Next 2 Months)

Complete "Writing Efficient Code in Python" → This will improve your computational efficiency and coding best practices, which will be invaluable as you scale into data engineering and AI development.

Continue progressing through DataCamp courses (Data Science & Data Engineering) → Prioritize finishing structured tracks to solidify SQL, Python, and data pipelines.

Complementary Reading for This Phase:

Best Practices for Scientific Computing (To reinforce high-level programming habits).

Boom Bubbles and the End of Stagnation (To tie economic cycles into financial modeling).

Tesla Masterplan (For visionary tech & energy sector insights).

2. Technical Expansion (Following 2–4 Months)

C Programming Language → This will serve as an introduction to low-level programming and systems efficiency, key for deeper software and infrastructure understanding.

Computer Systems: A Programmer’s Perspective → This will strengthen your grasp of memory management, concurrency, and performance optimization, making you a better data engineer and AI practitioner.

Complementary Reading for This Phase:

Programming Massively Parallel Processors (To integrate GPU computing knowledge).

Deep Learning: Foundations and Concepts (To expand AI & ML expertise).

Active Inference by Karl Friston (To connect AI learning with decision-making).

3. Financial and Strategic Expansion (6+ Months Out)

CFA Level 1 Focus Areas:

Start with Quants, Alternatives, Derivatives, and Fixed Income (As planned, these sections directly integrate with AI-driven financial models).

Complementary Reading for This Phase:

US Economic Statecraft by Raboresearch (To grasp macroeconomic and geopolitical implications).

World Bank Country Partnership Framework for Namibia (For real-world application in economic modeling and policy impact).

4. Personal and Strategic Development (Ongoing)

Books Focused on Decision-Making & Personal Mastery:

Laws of Human Nature

Crucial Conversations

Managing Conflict Mindfully

Poor Charlie’s Almanack

Philosophy, Mindset, and Reality Shaping:

I: Reality and Subjectivity

The Bahir

Reality Transurfing

Political and Historical Insight for Strategic Thinking:

Where Others Wavered – Sam Nujoma

Key Takeaways:

Plan is well-structured across Data Science, AI, Finance, and Strategic Thinking.

Ordering tasks into phases (Immediate → Expansion → Long-Term Mastery) will optimize learning speed.

Reading list perfectly complements technical journey, reinforcing insights in economy, psychology, AI, and geopolitical finance.

By structuring learning and balancing theory with execution (projects, applications), gain both depth and adaptability.