Subject Details
Dept     : AIDS
Sem      : 5
Regul    : 2019
Faculty : ashokkumar
phone  : NIL
E-mail  : ashok.r.it@snsce.ac.in
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Lecture Notes

UNIT 1:
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Data Science – Fundamentals and Components
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Data Scientist
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Terminologies Used in Big Data Environments
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Types of Digital Data
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Introduction to Big Data – Characteristics of Data
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Evolution of Big Data
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Big Data Analytics – Classification of Analytics
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Challenges Facing Big Data – Importance of Big Data Analytics
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Data Analytics Tools
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Unit 1 Notes
UNIT 2:
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Introduction to Essential Data Science Packages
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Numpy - Creation of Arrays, Indexing and Slicing Operations
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Scipy
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Scipy – Manipulation of mathematical functions using special package
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Jupyter
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Statsmodels and Pandas Package
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Scikit learn
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R programming
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R programming
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Unit 2
UNIT 3:
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Introducing Hadoop – Hadoop Overview
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RDBMS versus Hadoop
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HDFS (Hadoop Distributed File System)
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Components and Block Replication
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Processing Data with Hadoop
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Introduction to MapReduce
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HBASE
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Components of YARN
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Yarn
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UNIT 3 NOTES
UNIT 4:
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Data Munging: Introduction to Data Munging
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Data Pipeline and Machine Learning in Python
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Data Visualization Using Matplotlib
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Interactive Visualization
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Unit 4 Notes
UNIT 5:
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Introduction to NoSQL
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Types of NoSQL Databases
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Key-value store, Document store, Column family, Graph store
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CAP theorem
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Sharding –Types of sharding
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Introduction to Hive – Hive Architecture – Hive Query Language
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Unit 5 Notes