Training program on Big Data Analytics

Training program on Big Data Analytics Finesse / StatLabs, Bangalore; are leading organization providing Big Data Analytics Training and Services that helps organizations anticipate job/ business opportunities. Finesse teamed up with StatLabs provides a very powerful Big Data analytical platform and its Career Education Program designed by IT professionals, for graduates, post graduates and experienced professionals to accelerate their skills and knowledge so that they succeed in this dynamic industry. The Program curriculum brings together the latest software content, real-world industry experience, hands-on lab courses and best practices, all into a single unique education program. SJB Research Foundation in collaboration with M/s. Finesse / StatLabs, Bangalore is organizing an exclusive Training on Big Data Analytics from 22nd Feb 26 th Feb 2014. A top-class faculty comprising of technical specialists and education experts will be handling the sessions Course materials will be provided by Finesse / StatLabs At the end of the course, certificates of completion are issued by StatLabs (An official associate of IBM) Course Fee: Rs.6000/- ( for SJBIT students) others : Rs. 8000/- Venue: Big Data Analytics Laboratory, SJBRF For More Details: Contact: Manoj Kumar Panicker Email : manoj@finessedirect.com Mob : +91 9916987932 Dr. Mahendra Prashanth e-mail: kvmprashanth@sjbit.edu.in I Mob: +91 9886290965

Finesse in association with SJBRF (SJB Research Foundation) launches Big Data Analytics Training Program at SJBIT Campus Bangalore BGS Health and Education City, Uttarahalli Road, Kengeri,Bangalore- Finesse along with SJBRF ( Research Foundation of SJBIT, Bangalore), building skilled manpower pool for global industry requirements. As an initiative Finesse along with SJBRF and StatLabs launching BIG Data Analytics Training Program. Organizations today possess massive data in tera- and petabytes that needs to be effectively collected, stored and processed. Why Learn Big Data? 90% of the data in the world today is less than 2 year old. 18 Moths is the estimated time for digital universe to double. 2.6 Quintillion bytes are produced every day. Big Data Market to Grow to $16.9 Billion What does the Training Offers? Introduction to Big Data Big data VS Conventional Database Systems Big data Analytics Data preparation for analytics How you will do Descriptive analysis How will you do Predictive analytics Deployment Of Big Data Analytics Use Case of Deployment of Big Data Analytics Analytics Tools Demo Who should attend? This course is designed for professionals aspiring to make a career in Big Data Analytics. Engineering Students, Software Professionals, Analytics Professionals, ETL developers, Project Managers, Testing Professionals and practitioners from all disciplines of engineering and medical schools Register Today and prepare yourself for a truly exciting career in BigData. Contact : Manoj Kumar Panicker Email : manoj@finessedirect.com Mob : +91 9916987932 www.finessedirect.com SJB Institute of Technology #67, BGS Health & Education City Uttarahalli Main Road, Kengeri, Bangalore South-560 060 www.sjbit.edu.in Powered By : For every 100 open Big Data jobs, there are only two qualified candidates - fastcompany.com New job opportunities are emerging for IT professionals in the field of BIG DATA, the term used to describe how corporations gather vast amounts of real-time data about their customers and analyze that data to drive decision making and increase profitability. The IT services segment will be the major contributor to the Big Data services market, currently accounting for 82.9 per cent of revenues, followed by analytics with 17.1 per cent. India s big data industry is expected to grow at a compound annual growth rate (CAGR) of over 83 percent. In India, Big Data analytics and related IT services will create 15,000-20,000 Big Data jobs by 2015.

Training on Big Data Analytics 22 nd Feb - 26 th Feb 2014 Venue: Big Data Analytics Lab, SJBRF; SJBIT Campus Course Contents Chapter Module A Introduction to Big Data Duration A1 A2 A3 A4 Introduction to Big data as Predictive Modeling Workbench Potential Value, Volume, Velocity and Variety of Big Data How Big data can benefit your Business? Key Challenges - Challenges in Handling Big Data A5 What Technology Do We Have For Big Data? Chapter B1 B2 B3 B4 Module B Big data VS Conventional Database Systems Traditional Data warehouse Analytics Challenges of Traditional Database Management Systems Historical Context -Evolution of BI to Big Data Analytics Significance of Big Data Challenges, Opportunities & Advantages Competing on Analytics Duration

B5 Big Data Is different than Business Intelligence Chapter Module C - Big data Analytics Duration C1 C2 C3 C4 Introduction To Big data Analytics Why and when to use Big Data Analytics? Scope of Big Data Analytics, Big Data Management, Big data Analytics Techniques & Technologies - Introduction to Hadoop and other big data technologies Value of Big Data Analytics, Big data storage, processing and development Big data Analytics in different Industries. Chapter Module D Data preparation for analytics Duration D1 D2 D3 D4 D5 Introduction Of Data analytics- Working with raw data Data Understanding -Data Types, Variable Types & Measurements, Importing and exporting of data sets, Sources of Data - Primary, Secondary, OLTP, OLAP, etc. Data Creation, Data Cleaning, Variable Manipulation, Data manipulation Data Aggregation- Data binning, classification, partition, filtering etc ETL Data transformation and management, Data management tools and features Chapter Module E: Descriptive analysis Duration

E1 E2 E3 Depiction of different stages in customer lifecycle and how various analytics techniques are used in these stages Making Inference about population from sample (Test of Hypothesis), Relationship between Categorical variables, Parametric and Non Parametric tests Univariate Analysis - Standard Analyses as Frequency, Crosstabs, Data Distribution for Categorical and Scale Variables E4 Reporting options And Dashboarding. Chapter Module F: Predictive analytics Duration F1 F2 F3 F4 F5 Introduction to Predictive analytics Role of Predictive Analytics, Different types of predictive models An appreciation of important terms in Analytics Data Mining, Segmentation & Profiling, Response, Risk, Activation, Cross-sell and Up-sell, Attrition and Customer Lifetime Description of Bivariate Plots and Correlation for Scale Variables Detailed Analysis of Multiple Linear & Logistic Regression, Decision Trees, CHAID Analysis, Time Series Forecasting and Neural Networks Checking goodness of fit, Model Validation and Interpretation of Output Chapter Module G: Prescriptive Analytics Duration G1 What is Prescriptive Analytics - Synthesizes of big data, Mathematical sciences, Business rules algorithms and computational modeling

G2 G3 techniques to make predictions and then suggests decision options to take advantage of the predictions. How decisions are made? what the effect of future decisions will be in order to adjust the decisions before they are actually made? Simulation And Optimization techniques Chapter Module H: Deployment Of Big Data Analytics Duration H1 H2 H3 H4 Setting up a model in real time environment Real time model scoring Moving models from development environment to production server Installation & Configuration Ad hoc analytics and Custom reporting Chapter Module I: Deployment Of Big Data Analytics Duration I1 I2 I3 I4 Setting up a model in real time environment Real time model scoring Moving models from development environment to production server Installation & Configuration Ad hoc analytics and Custom reporting Chapter Module J: Use Case of Deployment of big data Analytics Duration

J1 Big Data case study across verticals Each J2 Business Benefits on a real time scenario case study J3 shall be Question and Answer Session of 2hours Chapter Module J: Use Case of Deployment of big data Analytics Duration K1 Analytics Tools Demo 5 hours