Course Details

Business Analysis

For every business analytics the story starts from data. Previously, this meant structured data created and stored by enterprises in CRM or in ERP systems or financial data stored in accounting databases. But the volume of data and types of data now available to enterprises — and the need to analyse it in near-real time for maximum business value — is growing leaps and bound thanks to the popularity of social medias like Face book and Twitter, both machine- and human-generated online transactions, and various sources of unstructured and semi-structured data. This is precisely Big Data.

Traditional data management and business analytics tools and technologies are not up to the mark under the added flux of Big Data and new approaches are emerging to enable enterprises gain actionable insights from Big Data. These new approaches – like Hadoop, NoSQL databases such as Cassandra and Accumulo, and high performance parallel analytic databases from vendors like EMC Greenplum, HP Vertica, and Teradata Aster Data – take a way different approach to data processing, analytics and applications than tools and technologies that were available till now. This means enterprises need to re-strategise the way they approach business analytics both from a technological and cultural point of view.

Big Data combined with sophisticated business analytics have the potential to give enterprises hitherto impossible insights into customer behavior and volatile market conditions, enabling them to go for data-driven business effectively and swiftly than the competition. This will help them to ask right questions at right time for timely and accurate answer.

So obviously there will be a huge demand for trained professional who will be able to provide the right platform to these organizations with Big data.

Today, businesses can measure their activities and customer relationships with laser like precision. As a result, they are overflown with data. This is particularly evident in the digital economy, where clickstream data give targeted and real-time insights into consumer behavior, but bleeding edge companies in every segment are using big data to reduce intuition based decisions. We believe the proposed course on Big data and Hadoop will work as a bridge between the huge gap in the market need and supply of skilled professionals.

Course Content

Course Duration 4 days + test (1 day)
The course will be spread across 4 Saturdays + 1 day for test
Every week there will be mandatory assignment submission
A short out of class project to be submitted with-in 1 month of the course (Mandatory for obtaining Certificate)

*Some of the courses if required will be delivered through overseas faculties or online Session.

Course Highlights

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