Base de datosCiencia-lecciones y proyectos

📊 Data Analyst Career Checklist Becoming a Data Analyst is more than learning tools. Build a combination of technical skills, business knowledge, problem-solving, and communication. 🔹 Excel — Formulas, Lookups, Pivot Tables, Power Query 🔹 SQL — Joins, CTEs, Window Functions, Stored Procedures 🔹 Python — Pandas & DataFrame fundamentals 🔹 Power BI — Power Query, DAX, Data Modeling & Dashboards 🔹 Business Acumen — KPIs, Revenue, Profit & Market Metrics 🔹 AI & Problem-Solving — Use AI to boost productivity, not replace thinking 🔹 Communication — Present insights and recommendations clearly 🔹 Portfolio — Build real-world projects that demonstrate impact 🔹 Resume & LinkedIn — Showcase skills, projects & measurable results 🎯 The goal isn’t to learn every tool. It’s to use the right tools to turn data into actionable insights. 📌 Save this checklist and work through it step by step.