Introduction to Data Analytics and Visualization (BCDS501) AKTU syllabus – unit-wise topics
The complete Introduction to Data Analytics and Visualization syllabus for AKTU, unit by unit. Next to each topic you can see how often it has appeared in past papers, so you know where the marks are.
Unit 1: Introduction to Data Analytics
- Data Basics – asked 4 times
- Analytics Foundations – asked 9 times
- Process And Tools – asked 3 times
- Analytics Lifecycle – asked 5 times
Unit 2: Data Analysis
- Regression And Multivariate – asked 6 times
- Bayesian Methods – asked 4 times
- Support Vector Methods
- Time Series Analysis – asked 2 times
- Neural Networks – asked 2 times
- Fuzzy Logic – asked 2 times
- Search Methods – asked 3 times
Unit 3: Mining Data Streams
- Stream Basics – asked 5 times
- Sampling And Filtering – asked 1 times
- Counting In Streams – asked 4 times
- Window Models – asked 1 times
- Real Time Analytics – asked 8 times
Unit 4: Frequent Itemsets and Clustering
- Frequent Itemsets – asked 6 times
- Large Data Handling
- Clustering Techniques – asked 7 times
- High Dimensional Clustering – asked 2 times
- Advanced Clustering – asked 2 times
Unit 5: Introduction to Visualization and Human Vision
- Visualization Basics – asked 7 times
- Tasks And Representation – asked 1 times
- Visualization Limitations
- Human Vision – asked 3 times
- Information Space Design – asked 2 times
- Explanation Methods