
Business Analytics with R


• Understanding the big picture of Business Analytics
• Exposure for managing Business Analytics projects
• Exposure to tools in Business Analytics projects
• Training on statistical methods, R scripting language
• Problem-solving approach towards Business Analytics using the CRISP-DM methodology
• One-week online support after the program
OUR ALUMNAE
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DESCRIPTION
Amidst the business challenges lies a business opportunity. Amidst business problems lies a business solution. One who defines and redefines business strategies using new business solutions remain abreast of competition. Adopting Innovation, new technology, best industry practices are some of the enablers for providing the business solutions.
Recent trends have shown that data is very powerful tool to redefine the business. Many say that beneath the data lies dollars. Gartner, a leading research company says that data literacy is new six sigma and business analytics is a new enabler to understand this data.The consumerization of Information Technology has given rise to many new applications in the area of mobility and social media. However, Business Analytics needs understanding of business, along with statistical tools and technology enablers.
This program focuses on entire canvas of Analytics that will enable business managers to adopt a structured approach for solving business problem. With markets becoming global and competition becoming severe, business face lot of challenges across entire supply chains. Over the years use of technology has created integrated business environment. However, this has given rise to volume, variety, velocity and voracity of data. Understanding such huge data to get business insights needs step by step approach. Hence need for this program.
• Understanding big picture of Business Analytics
• Exposure for managing Business Analytics projects
• Exposure to tools in Business Analytics projects
• Training on statistical methods, R scripting language
• Problem solving approach towards Business Analytics using CRISP-DM methodology
• One-week online support after the program
• To understand nuances of Business Analytics
• To aid participants in taking up various roles in Business Analytics projects
• To get familiarity with various tools and techniques for handling Business Analytics Projects
• To understand the world of Business Analytics through theory and practice