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Certified Internet of Things Big Data Analyst

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Certified Internet of Things Big Data Analyst

WHAT YOU WILL LEARN

The growth of Internet of Things (IoT), especially sensors and smart devices, generates massive amounts of data (or “big data”), which needs to be stored, processed and analyzed. Cloud computing platforms and computer-assisted statistical software environments are fundamental technologies for big data storage and analysis.


This module will introduce big data technology platforms and how these can be applied to IoT data. This course will focus on big data storage technologies, namely MongoDB and Cassandra. In addition, this module will prepare the participants to adapt to the challenges of big data and focuses on harvesting the value of data through data analytics using the popular statistical software, R. The participants will learn how to import and manage data in R as well as learn how to perform descriptive statistical and exploratory data analyses, such as principal component analysis, hierarchical clustering and machine learning.

PREREQUISITES

Participants are recommended to understand databases and programming background.

METHODOLOGY

This program will be conducted with interactive lectures, PowerPoint presentation, discussion and practical exercise.

COURSE OBJECTIVES

• Understand the concepts of No-SQL Database.

• Able to setup and configure Cassandra and MongoDB.

• Able to apply Cassandra and MongoDB for big data usage.

• Manage data using R

• Analyze data using R


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Modules

Module 1: No-SQL Databases concepts
Module 2: Cassandra: installation, case studies and hands on.
Module 3: MongoDB: concepts, application and hands on.
Module 4: R: case studies and hands on.
Dr.Selvakumar Manickam

Dr.Selvakumar Manickam

He is well known for her highly charged, energetic and power-packed training sessions. Selvakumar also holds many other portfolios in addition to be an affluent trainer. He has authored and co-authored more than 140 articles in journals, conference proceedings and book reviews. He has graduated 9 PhDs. He has successfully completed many research grants and industrial projects. He has given several keynote speeches as well as dozens of invited lectures and workshops at conferences, international universities and for industry. He also lectures in various Computer Science and IT courses which includes development of new courseware in tandem with current technology trend. He also codes in Android, Java, .net, C, PHP and Python in relation to the R&D work that he carried out. Read More

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