Data Analytics is the science of examining raw data with the purpose of drawing conclusions from it. In today’s environment, where data driven business decisions are the norm, becoming familiar with data analysis tools and techniques is key to professional growth.

According to market sources, India will face a demand supply gap of 2,00,000 analytics professionals between 2016-19.

So, get trained in data analytics…Understand data driven application design, accelerate your learning curve, engage your customers well, improve your ROI and gain competitive advantage.

Sigmaway presents its Data Analytics training in Delhi, India, for those who think it is worth exploring a career in Analytics.

Gain from the experience of the best in class – With over 25 years of combined experience, our trainers have used the power of data analytics and generated huge benefits for clients.

Content: Hands on exercises on RapidMiner to understand Data Analytics tools and concepts; Case studies to emulate industry applications. Topics covered include Text Mining, Web Mining, Fraud Analytics, Decision Trees and Sentiment Analysis.

For details, contact: trainings@gosigmaway.com or visit: http://www.gosigmaway.com/events/analytics/24-data-analytics-training-delhi-india-7-8-january-2017  to register.

Date: 7th & 8th January, 2017, DELHI, India

Eligibility: No pre-requisites. Students need ID proof to avail discount

Certification: Training certificate provided on training completion.

Investment for Students: Rs. 3,000 + 15% tax

Investment for Professionals: Rs. 5,000 + 15% tax

Early bird discounts also available! And progressive discounts for Groups (conditions apply)

Big data is extending the range of data types in banks that can be covered beyond those common transaction data, and it helps to address problems. Some important areas in banking like fraud analytics, customer analytics and web analytics are also enhanced by big data. Today's improved technologies and frameworks enable banks to get customer data, graph data and geo-location data easily from customers, other banking channels etc. which in turn yields significant insights that can be used in customer marketing, risk management and infrastructure optimization. Big data projects are beneficial as they enhance areas like web security, compliance checks and customer analytics and thus cause the banks to make relevant investments in it. Banks need to know and understand the characteristics of the data they need and need to capture more information beyond risk and marketing data. If the users have sound idea of the nature of the available data, their strategies of making a rough analysis and then use the results to guide them in refining the analysis, will be more effective. This approach helps banks to analyze more data and gain insights that were previously difficult to achieve, without changing the current analytical infrastructure of the banks. Read more about this in Jaroslaw Knapik (Senior Analyst, Financial Services Technology)'s article link:http://www.cloudcomputing-news.net/news/2014/jun/16/big-data-set-to-boost-the-effectiveness-of-analytics-in-banking/