Data Analytics Career 2-Year Roadmap
Data Analytics Career 2-Year Roadmap: Excel, SQL, Python & AI A step-by-step, execution-focused strategy to build a high-growth data analytics career over 24 months. By Discover Talent Editorial Team Phase 1: First 6 Months — Build Strong Foundations Master Excel: advanced formulas, pivot tables, dashboards. Understand key business metrics: Revenue, Margin, CAC, LTV, Churn. Practice structured problem-solving weekly. Start immediately — consistency compounds. Phase 2: 6–12 Months — Move Beyond Basics Learn SQL to work directly with datasets. Build interactive dashboards and reporting systems. Gain hands-on experience through internships or live projects. Create a results-driven portfolio — impact over resume. Phase 3: 1–2 Years — Strategic Growth & Acceleration Learn Python for analytics and automation. Understand AI fundamentals and business applications. Automate workflows to improve efficiency. Work on cross-functional strategic initiatives. ...