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About Data Analytics Quantum
The document provides information on the course outcome and syllabus for a Data Analytics course. The course aims to help students describe the data analytics lifecycle, understand and apply data analysis techniques, implement various data streams, understand data modeling frameworks, and apply the R tool for developing real-time applications. The syllabus covers topics like the data analytics lifecycle, various data analysis techniques including regression, clustering, frequent itemsets mining, data stream processing, frameworks like MapReduce and Hadoop, and data visualization. References on intelligent data analysis, mining of massive datasets, and data analytics for networks are also provided.
Detailed Information
| Author: | ['Sakshi Chauhan'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 142 |
| Language: | English |
| Format: | |
| Price: | FREE |
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