Friday, 8 July 2016

IT6006 Data Analytics - All useful study materials

IT6006 Data Analytics Syllabus Notes Question Papers Question Bank with answers download

Download Question bank, Question papers, Notes, Syllabus for IT6006 Data Analytics (DA) regulation 2013 in PDF 

IT6006 Data Analytics study materials such as all 5 unit wise notes, question banks, 2 marks with answers (Part A), 16 marks questions (Part B), Previous year question papers, model question papers, Important Questions as well as ebook in pdf format have been provided.
Students can make use of the below table to access all study materials for free. IT6006 Data Analytics study materials are provided here in PDF as well as in word format. Students can download the ebook from our website freely or they get the source link related to the subject. Students can also download Computer Graphics related PPT's and PDF's which they can use it to prepare for their exams as well as for their taking up their seminar during college hours.

IT6006 Data Analytics Syllabus - DA Syllabus

UNIT I INTRODUCTION TO BIG DATA
Introduction to Big Data Platform – Challenges of conventional systems - Web data – Evolution of Analytic scalability, analytic processes and tools, Analysis vs reporting - Modern data analytic tools, Stastical concepts: Sampling distributions, resampling, statistical inference, prediction error.

UNIT II DATA ANALYSIS
Regression modeling, Multivariate analysis, Bayesian modeling, inference and Bayesian networks, Support vector and kernel methods, Analysis of time series: linear systems analysis, nonlinear dynamics - Rule induction - Neural networks: learning and generalization, competitive learning, principal component analysis and neural networks; Fuzzy logic: extracting fuzzy models from data, fuzzy decision trees, Stochastic search methods.

UNIT III MINING DATA STREAMS
Introduction to Streams Concepts – Stream data model and architecture - Stream Computing, Sampling data in a stream – Filtering streams – Counting distinct elements in a stream – Estimating moments – Counting oneness in a window – Decaying window - Realtime Analytics Platform (RTAP) applications - case studies - real time sentiment analysis, stock market predictions.

UNIT IV FREQUENT ITEMSETS AND CLUSTERING
Mining Frequent itemsets - Market based model – Apriori Algorithm – Handling large data sets in Main memory – Limited Pass algorithm – Counting frequent itemsets in a stream – Clustering Techniques – Hierarchical – K- Means – Clustering high dimensional data – CLIQUE and PROCLUS – Frequent pattern based clustering methods – Clustering in non-euclidean space – Clustering for streams and Parallelism.

UNIT V FRAMEWORKS AND VISUALIZATION
MapReduce – Hadoop, Hive, MapR – Sharding – NoSQL Databases - S3 - Hadoop Distributed file systems – Visualizations - Visual data analysis techniques, interaction techniques; Systems and applications:

IT6006 Data Analytics (DA) - All useful study materials

Download IT6006 Data Analytics (DA) Notes Question Papers Question bank Important Questions with answers and online ebook using below table directly.
IT6006 Study Materials Download Link
IT6006 Syllabus Click here to download Syllabus
IT6006 Notes Click here to download Unit wise Notes
IT6006 Question Bank Click here to download Question Bank
IT6006 Question Papers Click here to download Question paper
IT6006 2 marks with Answers (Part A) Click here to download 2 marks with answers
IT6006 16 marks (Part B) Click here to download 16 marks
IT6006 Important Questions Click here to download important Questions
IT6006 eBook (online book PDF) Download link Click here to download ebook online
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