1. This comprehensive Data Analytics course covers Python fundamentals, including architecture, data structures, file handling, loops, and conditionals. You’ll gain hands-on experience with libraries like NumPy and Pandas for data manipulation and Matplotlib for data visualization.
2. The course also introduces statistical thinking and core machine learning concepts, including regression models, neural networks, and tree-based algorithms. Additionally, you’ll enhance your analytical skills with Advanced Excel, SQL, and Power BI, equipping you with end-to-end tools for real-world data analysis and business intelligence.