About the Course
Throughout the world, the demand for people with the skills and mindset for quality data analysis is still far ahead of its supply. In fact, a report by the McKinsey Global Institute claims that by 2018 the US alone is expected to have a shortfall of 140,000-190,000 people with critical analytical skills.
Yet employees who have control over and the ability to analyze ever-growing sets of data are increasingly moving ahead, receiving higher pay in organizations around the globe.
INSOFE is well aware of the trend, its program in Data Sciences/Big Data Analytics drawing students from a host of disciplines.
The program's most recent effort to expand and enrich its offerings has resulted in an unprecedented collaboration with three American universities: Bowling Green State University, Drexel University and Benedictine University, with more in development.
Topics CoveredEssential Business Skills for a Data Scientist
Thinking Skills for Effective Architecture Design
Essential Engineering Skills in Big Data Analytics
Statistical Modeling for Predictive Analytics in Engineering and Business
Engineering Big Data with R and Hadoop Ecosystem
Text Mining, Social Network Analysis and Natural Language Processing
Methods and Algorithms in Machine Learning
Optimization and Decision Analysis
Communication, Ethical and IP Challenges for Analytics Professionals
Who should attendInterested students from any discipline with following degrees: B.E./B.Tech., M.E./M.Tech., M.Sc. (Computer Science, Statistics, Mathematics), MCA, MBA.
Pre-requisitesBasic Maths and English
What you need to bringLaptop
Key TakeawaysSQL querying (with a focus on statistical analysis)
Hadoop and Map Reduce methods of programming
Designing columnar databases