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9 tips to get started with Data Analysis: Learn Excel, SQL, and a programming language (Python or R) Understand basic statistics and probability Practice with real-world datasets (Kaggle, Data.gov) Clean and preprocess data effectively Visualize data using charts and graphs Ask the right questions before diving into data Use libraries like Pandas, NumPy, and Matplotlib Focus on storytelling with data insights Build small projects to apply what you learn Data Science & Machine Learning Resources:https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D ENJOY LEARNING👍👍