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Data is everywhere—but knowing what to do with it? That's a different skill. In this session, we'll show you what the Data Science and Analytics track covers. You'll see the complete learning path: how to collect data, clean it, analyze it, visualize it, and turn it into something useful. We'll break down the time commitment, the skills you'll gain (like Python, Pandas, data visualization, statistical analysis), and the real projects you'll work on. We'll also clear up the confusion—what's the difference between data science and data engineering? Between analytics and AI? By the end, you'll know if working with data and finding patterns excites you. Open for all—bring your friends who love numbers and insights!

Related topics

AI/ML
Machine Learning
Community
Cloud Computing
Data Analytics

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