Today all leading organizations are rapidly gaining power by leveraging information to gain insights and drive the business. Business analytics delivers actionable insights – new interpretations and evaluations of business performance based on data and statistical methods. Predictive analytics on the other hand provide customer level behavior prediction to enable businesses like yours to deliver more relevant content to customers, improve response rate, improve retention and overall profitability of the company.
This course is an applied, hands-on predictive analytics course covering the four most commonly used predictive analytics technique in the world of business. They are Linear Regression, Logistic Regression, Decision Tree and K-Means clustering. All the analysis is done using open source statistical software R and Knime. The course also covers primer on R. The material is brought home using examples and exercise from diverse industry like Health Care, Financial Services and predicting home prices amongst others.
Predictive Analytics Case Simulation: Participants test their own knowledge of predictive modeling by solving a real world business situation - predicting length of stay and discharge outcome for Diabetes patients admitted at AMH hospital using Decision Tree, Logistic Regression and Linear regression in R.
Key Takeaways :
Topics covered include:
Software Required: Attendees need their laptop with MS Excel or equivalent loaded for exercises. At the start of the course, we will give you instructions on downloading R and Knime.
Author of the Amazon bestseller Behind Every Good Decision
Piyanka Jain is the President and CEO of Aryng, an analytics consulting company focused on analytics training, consulting and recruiting. Her client list includes companies like Google, Box, Here, Applied Materials, Abbott Labs, and GE. As a highly regarded industry thought leader in analytics, she writes for Forbes, Harvard Business Review, InsideHR, and other publications. She has been a featured speaker at American Marketing Association conferences, Microsoft Modern Workplace, Predictive Analytics World, Growth Hacker TV, GigaOm, Google Analytics User Conference and more. In 15+ years as an analytics leader, she has had a $200M+ demonstrated impact on business. A gifted problem solver, she seeks out patterns and insights to drive change in her clients' organizations and impact top levers of business. She considers customer satisfaction, empowerment and positive engagement as the highest rewards, and dollar impact as a natural consequence. Her best seller book ‘Behind Every Good Decision’ is an actionable guide for business managers on data-driven decision-making through business analytics.
She has two master’s degrees with theses involving applied mathematics and statistics. A hiker, runner, and yogi, she lives in Sunnyvale, California.
Product Manager, Jasper Wireless Inc
“This course is Analytics On The Go for Business Professionals.”