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Analytics And Big Data


last update : 06/01/2016

Certification In Big Data Analytics

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By the end of this course,

•    You will acquire an understanding of analytics framework needed to solve real time business problems•    You will also develop basic knowledge on manipulating large data sets in R

It will help participants to develop a sense of understanding on life cycle of analytics project and few big data concepts. Also, you will be able to work with R and will be able to use it to handle data along with building predictive modelsWho can be benefited

  • Business Intelligence Specialists
  • Data Warehouse Designers
  • Business Analysts
  • Technology Planners
  • Enterprise Architects
  • IT Consultants
  • IT Strategists
  • Systems Analysts
  • Database Developers
  • Database Administrators
  • Solutions Architects
  • Data Architects
  • IT Managers
  •  Professionals looking to develop an understanding on big data analytics
  •  Students looking out to pursue data science as a career


Programming experience and exposure with Data related work such as Reporting, Data Integration, Database Management etc.


Participants should have a laptop and R should be installed on the system.R is a freely downloadable software. We will provide you the link to download the same. Data will be provided by UNICOM either through file sharing method or participants will be able to download it from a web source.


Big Data Analytics Workshop - Agenda


Day 1


Topic Details What is Big Data & Why Hadoop? Big Data Characteristics, Challenges with traditional system Hadoop Overview &it’s Ecosystem Anatomy of Hadoop Cluster, Installing and Configuring Hadoop Hands-On Exercise HDFS – Hadoop Distributed File System Name Nodes and Data Nodes Hands-On Exercise Map Reduce Anatomy How Map Reduce Works? The Mapper & Reducer, Input Formats & Output Formats, Data Type & Customer Writable Developing MapReduce Program  Setting up Eclipse Development Environment, Creating Map Reduce Projects, Debugging and  Unit Testing MapReduce Code, Testing with MRUnit Hive, pig & Mahout Hands-On Exercise

Day 2


Module            Topic                                                  Details  R and Hadoop Overview Introduction to R tool Overview and Getting Started with R Tool and RStudio (GUI) R and Hadoop Integration Learning about different ways of Working with Hadoop using R Hadoop Streaming using R Introduction and Implementing Hadoop Streaming using R RHadoop Overview Overview, Architechture and Sample Examples RHive Overview Overview, Architechture and Sample Examples Analytics Project Methodology Analytics Project Overview Overview of Data Analytics and its role in Business Problem Solving Steps Invovled in Aanlytics Project Details about project life cycle around problem identification, solution design Analytics Techniques and Applications in Business How Analytics techniques are used in Retail, Financial Services, E-Commerce Implications of Big Data on Analytics Trends and Challenges of big data on Analytics projects


Working with RHadoop& RHive

Word Count Example Handling text data using RHadoop Airline Optimization Example Handline airline data using RHadoop Retail Store Example Handling retail data using RHive Stocks Example Handling stock data using RHive Business Case Study Big Data Analytics Case Study Using RHadoop ecosystem for analyzing unstructured data Problem Identification and Solution Design Working through steps involved in Analytics Project Data Analysis and Visualization Solution Implementation and Execution Final Insights and Recommendations Communicating the Technical Output to Business Users

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What is R ?

R is the most common and widely used data analytics tool.It is an extremely powerful, open-source data analysis and statistics language. R is a central tool in the big data revolution.R is a free software programming language and a software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.

What is Big Data ?

Big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis, and visualization. 

What is Analytics ?

Analytics is the discovery and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. Analytics often favors data visualization to communicate insight.

What is Big Data Analytics ?

Big data analytics is the process of examining large amounts of data of a variety of types (big data) to uncover hidden patterns, unknown correlations and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue.

Who will provide certificate?

Certificate of Participation will be provided by UNICOM.

Will there be any exam?We take tests during the course to gauge the knowledge imparted to students, to refresh some of the harder concepts and to repeat  topics that a lot of people get wrong. The test also encourages the students to use  knowledge imparted in the class into practical scenarios.

Certificate of Participation is given to all the participants who attends the program.

Are there any prerequisites to attend this program?

Programming experience and exposure with Data related work such as Reporting, Data Integration, Database Management etc.

Who should take this training course/Target Audience?

•    Professionals looking to develop an understanding on big data analytics•    Students looking out to pursue data science as a careerHow can I make payment?

Payment can be made via Cheque / DD / Online Funds transfer / Cash Payment/Credit & Debit Card.Cheque should be drawn in favour of "Unicom training and Seminars Pvt Ltd" payable at BangaloreNEFT Payment:Account Name: UNICOM Training & Seminars Pvt LtdBank Name : State Bank of IndiaBank Address: Ground Floor, K V Plaza, Green Glen Layout, Outer Ring Road, Bangalore.A/c Number : 31729010535IFSC : SBIN0012706A/c Type: CurrentWhom Do I Contact for more info?

You can reach Manish at 95388 78798 or mail her at


What is Course timing?

0900 – 1700 each day


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Telephone: +91-9538878795, +91-9538878799, +91-8025257962


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