Day 1:
- Leadership styles and situational leadership
- Coaching and performance conversations
- Baseline assessment and learning goals
Day 2:
- Strategic decision-making and problem solving
- Change leadership and organizational culture
- Tools, checklists and practical templates
Day 3:
- Data quality, governance and storytelling with data
- Team effectiveness and conflict management
- Case study workshop and facilitated practice
Day 4:
- Data literacy, dashboards and decision-making
- Ethical leadership and governance
- Advanced applications and performance measurement
Day 5:
- Capstone simulation / group project
- Personal action plan (90‑day) and stakeholder commitments
- Knowledge check and course close‑out
This 5‑day program, “Data Science: A to Z of Best Practices”, provides a structured, practice‑led learning journey covering the core concepts, best‑practice frameworks, and hands‑on applications in Management & Leadership. The course blends expert instruction, case discussions, guided exercises, and peer learning to ensure transfer to the workplace. Key themes include leadership styles and situational leadership, strategic decision-making and problem solving, and communication, influence and stakeholder alignment. Participants will leave with practical tools, templates, and a 90‑day action plan to apply immediately in their roles. Ideal for professionals, supervisors, and managers seeking measurable improvement in performance and decision quality.