hemansnation/Data-Analyst-Roadmap — reverse-engineered prompt

Build me a GitHub ready Data Analyst Roadmap for students and working professionals who want to become job ready in about 8 weeks.

I want it to feel like a clear learning path, not just random notes. Start with Python basics and logic building, then cover NumPy, Pandas, exploratory data analysis, charts with Matplotlib and Seaborn, statistics, different datasets, SQL, data storytelling with Tableau or PowerBI, business problems, machine learning basics, predictive analytics, time series forecasting, and business case studies.

Please organize it by week and chapter, with simple explanations, practice tasks, and Jupyter notebooks where useful. Add a clean README that explains who it’s for, what they’ll learn each week, what projects they should complete, and how to prepare for interviews at the end.

Keep it beginner friendly but useful for professionals switching careers. If you need better examples or datasets, look up current public resources online.