Data Analytics and Visualization (DAV) Notes for AKTU
Introduction to Data Analytics and Visualization (DAV) covers the full analytics workflow: the data analytics lifecycle, data preprocessing, regression and classification techniques, clustering, association rules, frequent itemset mining, stream data analysis and visualization tools and techniques. It is part of the newer AKTU scheme for CSE and allied branches.
introduction to data analytics and visualization exam intelligence
Study material (20 resources)
- Dav pyq (2024-25)PYQ · Semester 5
- dav unit-5 notes proNotes · Unit 5 · Semester 5
- dav unit-1 notes proNotes · Unit 1 · Semester 5
- dav unit-4 notes proNotes · Unit 4 · Semester 5
- dav unit-3 notes proNotes · Unit 3 · Semester 5
- dav unit-2 notes proNotes · Unit 2 · Semester 5
- dav unit-1 notes (new)Notes · Unit 1 · Semester 5
- DAV unit-2 notesNotes · Unit 2 · Semester 5
- DAV unit-1 notesNotes · Unit 1 · Semester 5
- DAV unit-4 notesNotes · Unit 4 · Semester 5
- Dav pyq(2021-22)PYQ · Semester 5
- DAV unit-5 notesNotes · Unit 5 · Semester 5
- DAV unit-3 notesNotes · Unit 3 · Semester 5
- dav unit-5 imp ques with solnsImportant Question · Unit 5 · Semester 5
- DAV unit-3 notes (new)Notes · Unit 3 · Semester 5
- Dav pyq(2022-23)PYQ · Semester 5
- dav unit-1 imp ques with solutionImportant Question · Unit 1 · Semester 5
- dav unit-4 imp ques with solnsImportant Question · Unit 4 · Semester 5
- dav unit-2 imp ques with solnsImportant Question · Unit 2 · Semester 5
- dav unit-3 imp ques with solnsImportant Question · Unit 3 · Semester 5
introduction to data analytics and visualization study guide
This page collects every Introduction to Data Analytics and Visualization resource on AcademicArk for AKTU Semester 5 students: 20 PDFs in total, including 12 typed notes sets, 3 previous year question papers and 5 important-questions sets. Each resource opens with a preview, and the list is ordered by what students have recommended, downloaded and viewed most.
The DAV syllabus is divided into 5 units: Unit 1 (Introduction to Data Analytics), Unit 2 (Data Analysis), Unit 3 (Mining Data Streams), Unit 4 (Frequent Itemsets and Clustering) and Unit 5 (Introduction to Visualization and Human Vision).
AcademicArk has analysed 4 AKTU DAV question papers from 2023 to 2026, covering 94 questions. Unit 1 (Introduction to Data Analytics) carries about 27 marks per paper, while Unit 2 (Data Analysis) carries about 26 marks per paper. The most repeated topics are Analytics Foundations (asked 9 times), Real Time Analytics (asked 8 times), Clustering Techniques (asked 7 times) and Visualization Basics (asked 7 times). The full unit-wise breakdown, important questions and a predicted paper are linked in the exam intelligence card on this page.
Learn the analytics lifecycle phases in order, then the core algorithms with one worked example each: linear regression, k-means clustering and the Apriori algorithm. Questions on visualization techniques and tools are short but frequent. Draw small diagrams for lifecycle and stream models, since they make long answers easier to score.
More AKTU subject notes
- Database Management System (DBMS) Notes for AKTU
- Design and Analysis of Algorithms (DAA) Notes for AKTU
- Data Structure (DS) Notes for AKTU B.Tech
- Computer Organization & Architecture (COA) Notes for AKTU
- Computer Networks (CN) Notes for AKTU B.Tech
- Operating System (OS) Notes for AKTU B.Tech
- AKTU DBMS Important Questions - Unit-Wise with Solutions
- AKTU DAA Important Questions - Unit-Wise with Solutions
Frequently asked questions
Is DAV the same as Data Analytics?
DAV (Introduction to Data Analytics and Visualization) is the newer-scheme paper. It overlaps with the older Data Analytics subject but adds a dedicated visualization unit.
Which algorithms should I practise for DAV?
Linear regression, k-means clustering and the Apriori algorithm for frequent itemsets are the most commonly asked, often with a small numerical example.
Are important questions available for DAV?
Yes. This page includes DAV important-question sets, previous year papers and unit-wise notes.
How many DAV previous year papers has AcademicArk analysed?
4 AKTU Introduction to Data Analytics and Visualization papers from 2023 to 2026, with 94 questions mapped to units and topics, so you can see exactly what repeats before the exam.
Which unit of DAV is most important for the AKTU exam?
Based on previous year papers, Unit 1 (Introduction to Data Analytics) carries the most weight at about 27 marks per paper. The topics that repeat most are Analytics Foundations, Real Time Analytics and Clustering Techniques.