|
Training Classes
| Learning and Development Resources
| Training Directory
| New Training Programs
| New Training Providers
| Site Map
| Promote Training
|
Training Keywords
|
| Training Providers
| Regions
| Training Search
| Advertise Training Programs
| Login
|
||||||||||||||||||||||||||||||
Training Provided by The Modeling AgencyABOUT THIS COURSEThis third-level offering takes the tactical and methodological presentation of Data Mining: Level II and puts the material into action through team-driven, live data mining exercises. Comparative review sessions then reveal real-world obstacles, breakthroughs and results from which to interpret, learn and apply. Data Mining: Level III is a hands-on application workshop, applying data mining methods and techniques presented in Data Mining: Level II to real-world data. Although the workshop may be attended exclusively, registrants should have experience with the breadth of material covered in the Level II offering. Throughout the workshop, the CRISP-DM model will be used to guide participants through the steps of the data mining process, and the attendees themselves will complete the entire data mining process during the workshop by solving simple data mining problems through a staged progression. In the morning, participants will begin with a database containing multiple tables of information. Participants will each have a networked computer and may choose to work on exercises in pairs or individually. Attendees will determine which business questions will be considered, how they will be addressed using data mining, and how the data will be prepared for data mining. A divide-and-conquer approach will be used to carry out the data understanding and data preprocessing steps as participants work alone or in pairs to prepare the data for data mining. In the afternoon, regression, decision tree, and neural network models will be created, and performance assessed. Participants may optimize these models by using advanced algorithm options, and report model performance on held-out data and summaries of key variables used in the models. Data preprocessing will be re-applied if models do not meet performance requirements. The team will determine which model best addresses the business question, and score the model on validation data. Throughout the day, emphasis will be placed not only on the data mining process from a technical perspective, but also how to interpret, explain and apply results that have been discovered during the process. WHO SHOULD ATTEND LEVEL II COURSE PARTICIPANTS with an interest in applying the methods and techniques first-hand as presented and illustrated in the course DATA MINING PRACTITIONERS who wish to expand their skills and analytical toolbox as well as hone proficiencies in maneuvering elusive data mining obstacles that stand in the way of superior model accuracy BUSINESS ANALYSTS who must develop and interpret models, communicate the results and make actionable recommendations FUNCTIONAL ANALYSTS: Customer Relationship Managers, Risk Analysts, Statistical Analysts, Business Forecasters, Inventory Flow Analysts, Direct Marketing Analysts, Medical Diagnostic Analysts, Market Timers, e-commerce System Architects and Web Data Analysts BENEFITS OF ATTENDING Driving the Level II presentation material through team exercises Hands-on experience through the data mining process via a staged progression of exercises using application data First-hand vendor-neutral exposure to various data mining tools Real-world perspective of data preparation for data mining, model optimization and results interpretation Cross-learning through team exercise comparisons to reveal what worked, what didn't, and why? WHAT MAKES THIS COURSE UNIQUE Unlike any other application-oriented offering on the market, Data Mining: Level III offers a structured approach to team-oriented data mining exercises in a lab environment. Since The Modeling Agency is not a tools vendor, participants enjoy a balanced, broad, and non-promotional perspective of data mining. Training Avaliability and Delivery
Related Keywords: data mining predictive modeling predictive analytics knowledge discovery machine learning neural networks decision trees segmentation crm analytics analytical crm business intelligence data analysis Training Program DetailsCOURSE OUTLINE
MORNING Team Meeting 1 Introduction Purpose of Data Mining III: Practice CRISP-DM Description of Data Source for Modeling Business Understanding Prioritize Questions to be Addressed Determine Method to Score Results Assign Data Understanding Responsibilities Result: List of Prioritized Business Questions and Corresponding Data Mining Approaches Breakout Session 1: Data Understanding Summary Statistics Visualization Outlier Analysis Missing Data Analysis Create Mini-Report Team Meeting 2 Data Assessment Summary Assign Data Preprocessing Responsibilities Result: Summaries of Available Modeling Data, and Recommendations for Their Use Breakout Session 2: Data Preprocessing Correct Data Problems Create Features Create Mini-Report Team Meeting 3 Data Preprocessing Summary Join Data Modified During Breakout Sessions Determine Sampling Strategy Assign Modeling Responsibilities Result: Single Modeling Dataset AFTERNOON Breakout Session 3: Modeling and Evaluation Build Decision Trees, Regression, and Neural Networks Assess Results Rebuild Models, Changing Modeling Parameters Breakout Session 4: Model Evaluation and Assessment Score Models on Testing Data Rank Variable Importance to Models Create Mini-Report Team Meeting 4 Summarize Modeling Results Assess Which Modeling Techniques Worked and Didn t Work Determine Needs for More Data Pre-Processing and Modeling Assign Responsibilities Breakout Session 5: Re-visit Modeling Create Final Models Create Mini-Report Score Models on Validation Data Team Meeting 5 Select Final Model to Use (if any) Explain Reason for Selection Assess Trade-offs Between Models Assign List of Action Items Pending About The Modeling Agency - Training Provider
The Modeling Agency - The Modeling Agency (TMA) is a structured, redundant network of senior-level data mining consultants, associate modelers, application programmers, project managers and technical documentation specialists. The Modeling Agency (TMA) provides data mining guidance and results for those who are data-rich, yet information-poor through a structured network of independent consultants, or agents.
The...
More Training from The Modeling AgencyClick here for more information or to take this course | ||||||||||||||||||||||||||||||
|
| ||||||||||||||||||||||||||||||
| Training Directory | New Training Programs | New Training Providers | Search | Site Map | Promote Training | Login | Links | ||
|
| ||
| Training-Classes.com by Skillbox® 05/13/08 Copyright 1998-2008 skillbox, inc. All rights reserved |
 |
|