Sources and Applications of Big Data
Students will explore various sources of Big Data (e.g., social media, IoT) and its applications in different industries.
Key Questions
- Identify diverse sources from which Big Data is generated.
- Analyze real-world applications of Big Data in sectors like healthcare or e-commerce.
- Predict how Big Data will continue to transform industries in the future.
CBSE Learning Outcomes
Suggested Methodologies
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Students will differentiate between data and information and understand the importance of data in decision-making.
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Students will explore various methods of data collection, including surveys, observations, and experiments, and their suitability for different contexts.
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Students will learn about the importance of data cleaning, identifying and handling missing values, outliers, and inconsistencies.
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Introduction to Statistical Measures (Mean, Median, Mode)
Students will calculate and interpret basic measures of central tendency: mean, median, and mode.
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Measures of Dispersion (Range, Quartiles)
Students will learn about measures of dispersion like range and quartiles to understand data spread.
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