Big Data Analytics – I (SEC)

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These notes introduce students to the foundational concepts of big data and its growing importance in decision-making across industries. The content helps learners understand how large volumes of data are generated, collected, and processed to extract meaningful insights in a technology-driven world.

The subject focuses on core ideas such as 𝐛𝐢𝐠 𝐝𝐚𝐭𝐚 𝐜𝐡𝐚𝐫𝐚𝐜𝐭𝐞𝐫𝐢𝐬𝐭𝐢𝐜𝐬, 𝐝𝐚𝐭𝐚 𝐬𝐨𝐮𝐫𝐜𝐞𝐬, 𝐝𝐚𝐭𝐚 𝐭𝐲𝐩𝐞𝐬, 𝐝𝐚𝐭𝐚 𝐬𝐭𝐨𝐫𝐚𝐠𝐞, and 𝐛𝐚𝐬𝐢𝐜 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐚𝐥 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡𝐞𝐬, with emphasis on understanding data beyond traditional databases. Attention is given to how organizations use data for trend analysis, forecasting, and performance improvement.

These hard copy notes are useful for exam preparation, conceptual clarity, and developing entry-level data skills such as 𝐝𝐚𝐭𝐚 𝐥𝐢𝐭𝐞𝐫𝐚𝐜𝐲, 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐚𝐥 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠, and 𝐛𝐚𝐬𝐢𝐜 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐨𝐟 𝐝𝐚𝐭𝐚-𝐝𝐫𝐢𝐯𝐞𝐧 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧-𝐦𝐚𝐤𝐢𝐧𝐠, making them valuable for students beginning their journey in analytics and technology-related careers.

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