🚀 Roadmap to Master Data Visualization in 30 Days! 📊🎨

📅 Week 1: Fundamentals
🔹 Day 1–2: What is Data Visualization? Importance real-world impact
🔹 Day 3–5: Types of charts – bar, line, pie, scatter, heatmaps
🔹 Day 6–7: When to use what? Choosing the right chart for your data

📅 Week 2: Tools Techniques
🔹 Day 8–9: Excel/Google Sheets – basic charts formatting
🔹 Day 10–12: Tableau – dashboards, filters, actions
🔹 Day 13–14: Power BI – visuals, slicers, interactivity

📅 Week 3: Python Design Principles
🔹 Day 15–17: Matplotlib, Seaborn – plots in Python
🔹 Day 18–20: Plotly – interactive visualizations
🔹 Day 21: Data-Ink ratio, color theory, accessibility in design

📅 Week 4: Real-World Projects Portfolio
🔹 Day 22–24: Create visuals for business KPIs (sales, marketing, HR)
🔹 Day 25–27: Redesign poor visualizations (fix misleading graphs)
🔹 Day 28–30: Build publish your own portfolio dashboard

💡 Tips:
• Always ask: “What story does the data tell?”
• Avoid clutter. Label clearly. Keep it actionable.
• Share your work on Tableau Public, GitHub, or Medium

💬 Tap ❤️ for more!