Predictive analytics encompasses various techniques for analyzing historical data and making predictions. In this course, Dr. Prashanth H. Southekal introduces participants to the fundamentals of machine learning (ML). He explores common predictive analytics techniques, such as trend analysis and regression, discusses the characteristics of successful ML solutions, and covers the key elements of model development. 

Purpose 

To equip participants with the techniques of predictive data analytics. 

Outcome: 

• Learn the key predictive analytics techniques 
• Gain knowledge around the fundamentals of machine learning 
• Understand the four key characteristics of ML models 
• Examine ensemble ML methods of model development using multiple models and ideas to produce an optimal output 

This Course Includes: 

• A 120-minute educational training video 
• A 22-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!