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 Covered

Essential 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 attend

Interested students from any discipline with following degrees: B.E./B.Tech., M.E./M.Tech., M.Sc. (Computer Science, Statistics, Mathematics), MCA, MBA.

Pre-requisites

Basic Maths and English

What you need to bring

Laptop

Key Takeaways

SQL querying (with a focus on statistical analysis) Hadoop and Map Reduce methods of programming Designing columnar databases Analytics