Predictive analytics empowers businesses to anticipate outcomes, behaviors, and events, allowing for informed decision-making and better strategic planning. In this course, Dr. Prashanth H. Southekal provides participants with essential principles of predictive analytics. He explores how to leverage historical data and statistical methods, choose key variables, and apply data engineering techniques to develop robust models for forecasting future probabilities and trends. 

Purpose 

To provide participants with the fundamental concepts of predictive data analytics solutions. 

Outcome: 

• Gain a comprehensive foundation in predictive data analytics, including key characteristics and use cases 
• Understand data preparation and profiling for predictive data analytics 
• Explore key statistical concepts in predictive data analytics including: 
  • Variable Selection 
  • Correlation 
  • Hypothesis Testing and P-value  
• Learn to formulate predictive data analytics models 

This Course Includes: 

• A 100-minute educational training video 
• A 26-question exam 
• “Check for Understanding” quizzes after each course section 
• Self-paced and on-demand e-learning 
• Unlimited course access 
• Downloadable documents/resources include: 
  • Practice Data Sets (used in the course) (Excel file) 
  • 12 Dimensions of Data Quality (.pdf download) 
  • Two .pdf article downloads to assist understanding of the core course concepts 
• Course CEUs: 2.0 hours 

Individual Course Price: $99 
Learning Plan Price: $336 
Learning Plan CEUs: 8.0 hours 

 We offer several bulk licensing options for corporate and group use. 

Contact us for a follow-up discussion!