2 day(s) | 1.40 CEUs REGISTRATION FEE: Member: $795 | Non-member: $1,145
The opportunities and challenges for organizations dealing with new and increased amounts of data have given rise to the need for their professionals to be skilled in the area of analytics. Engineers and managers should be able to turn information into a valuable business asset as well as help determine the right issues for improving organizational practices impacted by this data.
In this program, engineers and managers will be introduced to the fundamentals of Engineering Analytics, that is, the process of leveraging data into actionable insights. These strategies will be applicable to a wide range of applications including customer segmentation for better resource utilization, improved performance tracking for diagnosis and maintenance, classification strategies for improved inventory management, better use of sales data for increased revenues and customer satisfaction, and better forecasts. The course will serve as a foundation for those interested in sitting for the INFORMS certification. Basic methods will be introduced in the areas descriptive and predictive analytics and Big Data. Participants will get hands on experience through the use of case studies and example problem demonstrations. Throughout this introductory program, Microsoft-based tool such as Excel will be used when appropriate. Other analytics software tools, in particularly those that are in the public domain, will be discussed.
Participants should bring a laptop with Excel installed.
Introduction to engineering analytics
Data visualization strategies
Descriptive analytics: data models
Descriptive analytics: dimension reduction
Soundar Kumara extraction
Descriptive analytics: clustering and segmentation
Case study illustration
Descriptive analytics: classification strategies
Measures of accuracy
Predictive analytics: introduction principal component analysis
Principal component analysis for prediction
Predictive Analytics: forecasting
Big data: unstructured data concepts
Database requirements for big data
Big data: enterprise modeling
Big data requirement from an enterprise perspective
Networks and analytics
The use of graphs and networks in analytics
The use of social media networks
This course is available as a corporate training program and can be customized to meet your company’s needs. For more information, contact IIE Director of Continuing Education and Program Development Larry Aft, P.E., (770) 349-1130.
Class cancellation: IIE reserves the right to cancel a class up to 15 business days prior to the scheduled start date.