About this Course

In recent years, there has been an increasing demand for business analytics, and this trend will continue to rise. Predictive analytics is one of the important areas of business analytics, which deals with extracting information from data and using it to predict future trends and behavior patterns. Predictive analytics offers actionable business predictions through mining abundant historical data. It has been widely used in many industries such as insurance, telecom, retail, travel, healthcare, etc. It has shown very positive impact on business decision making, and many companies are increasingly turning to predictive analytics to compete and thrive. This course will directly help attendees utilize business data more effectively by deriving insights of trends and irregularities from data and applying them for forward-looking predictions. This is realized through building predictive models with appropriate analytical techniques. Ultimately the company will gain a competitive advantage over its competitors as it would become more proactive in the way it does business and marketing and thereby reduce costs and increase return on investments. The objective of this course is to introduce participants to the concepts, methods and techniques of predictive analytics. Participants will gain the requisite skills to perform analytics in real-life business scenarios through workshops using tools. Upon completion of this course, participants would be able to: • Identify where predictive analytics can be applied and the benefits which can be derived • Evaluate the predictive model's objectives and data available • Design the predictive analytics process • Assess and select the appropriate testing methods to validate the predictive models • Analyze the results and communicate the decision to end users

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