The recent rise of analytics has resulted in a great demand for business analysts and the trend will only continue to rise. Predictive analytics is one of the important aspects of business analytics. It is all about offering actionable business predictions through interesting and meaningful patterns in data. It has been proven to be highly useful in industries such as banking, insurance, telecom, retail, travel, healthcare etc. and has shown very positive impact on business decision making. Many companies are showing their inclinations towards predictive analytics to thrive and compete against their competitors.
This is a four-day Programme with extensive hands-on exercises with different predictive analytic techniques using the R statistical software. The Programme will begin with exploratory data analysis with an introduction to R followed by in-depth discussion of predictive analytic tools with their applications in marketing, finance, operations and other areas within R environment.
The Programme has the objective of introducing the participants with the concepts, methods and techniques of predictive analytics. Participants will also gain the requisite skills in statistical software R to perform predictive analytics in real-life business scenarios and use the techniques to interpret model outputs. At the end of the Programme the participants will be able to.
This Programme is intended for
The pedagogy for the Programme will be a mix of lectures, case discussions, hands on training in R, group presentations