Big Data Analytics Real Project


Big data becomes the buzz. It’s in the press and all over the web. CMOs recently reported that the percent of their companies’ marketing budgets devoted to big data will increase from 6% to 10% over the next three years on top of a sizable strategic expenditure. It is expected that companies with sales revenue of $10B or more will spend 13.7% of marketing budgets on marketing analytics in three years while companies with sales revenue of $25M or less will spend 9.2%.
Although technology companies like Teradata and SAS are making data easier to use, business will need well-educated analysts for years to come. It is widely recognized across the planet that analysts will be in demand for many years. According to Gartner Research, an analyst shortage has persisted for some time. A much-quoted 2011 report by McKinsey & Company’s Business Technology Office, for example, found that the need for data-analytics talent would exceed supply by 50 to 60 percent by 2018. The United States alone faces a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts to analyze big data and make decisions based on their findings.
As a result, job market has a much higher demand of business data analysts, provides more job opportunities and chances to be promoted. An entry level position could earn more than $50,000 salary. A year or later, junior analysts could be easily promoted to a senior position, earning $60,000 to $80,000. Besides, Dr. Dobb’s 2012 Salary Survey also found a rise in salaries over the past few years for business analysts, programmers/analysts, and systems analysts—meaning that the coming decade could prove very good financially for people like you.
Objective and outcome of training
Since 2011, AANALYTICS RESOURCING CENTER (ARC) has been dedicated to provide CO-OP training programs to post-secondary graduates who have data analytics knowledge and skills. The goal is to provide hand-on working experiences to data analyst job seekers, acquiring knowledge and skills necessary to successfully accomplish their day to day analytical works for business. That has being said, you will be able to
·         Gain real experiences with big data and know how to handle it from programming and efficiency perspectives
·         Design analytical plans to solve various business questions
·         Manage business data, providing supports to senior data analysts
·         Create analytical reports as requested by business clients
·         Drive insights from data analytics and provide recommendations to business clients
·         Support Marketing initiatives by conducting experimental design or POS-analysis
·         Conduct Quality Assurance methodology on analytical projects
·         Communicate with business clients effectively
·         Most importantly, have CONFIDENCE for your interviews and answer technical questions flawlessly
Pre-Requirements to attend the training
·         Graduated or going to graduate from recognized colleges or universities with knowledge and backgrounds but not limited to: Mathematics, Statistics, Computing Science, Economics, Business Administration, Finance, Engineering, Physics
·         Data analytical programming skills such as SAS, SPSS, R or SQL
·         A laptop with internet connection from home
Special feature of Training
·         The training course provides real big data to trainee.
o   A comprehensive database
o   A large dataset containing 2,000+ variables of Canadian householders’ socio-demographic, credit history, expenditure behaviors and responses to marketing initiatives month by month
·         The training program requires trainees act like real employees in a big organization
·         ARC provides references for attendances of CO_OP program
Training format
This training course includes 2 parts when you start the training:
·         Lecture course (40 hrs/10 weeks) ;
·         Lab Instruction course (40 hrs/10 weeks)
Course content
·         Marketing reporting
·         DM marketing campaign pre and pos analysis
·         CRM campaign pre and pos analysis
·         Other analytical projects including but not limit to WEB analytics, Credit risk analytics (May or may not be available depending on the progress of the training)
·         Presentation and discussion
·         Quiz

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