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SAS® Marketing Optimization: Maximizing Campaign Efficiency Administering SAS® Office Analytics and SAS® Enterprise Guide® Administrative Healthcare Data and SAS® Administrative Healthcare Data and SAS®: Hands-On Programming Workshop Advanced Analytics for IoT Using SAS® Event Stream Processing Advanced Analytics in a Big Data World Advanced Machine Learning Using SAS® Viya® Advanced Predictive Modeling Using SAS® Enterprise Miner™ Advanced Statistical Modeling Using the NLMIXED Procedure Advanced Topics in Applied Econometrics Analytics Value Training Analytics: Putting It All to Work Application Development Using the JMP® Scripting Language Applied Analytics Using SAS® Enterprise Miner™ Applied Clustering Techniques Applied Statistics for Engineers Applied Statistics for Scientists Applying Survival Analysis to Business Time-to-Event Problems Bayesian Analyses Using SAS® Best Practices in Cluster Analysis for Customer Relationship Management (CRM) Big Data, Data Mining, and Machine Learning Building and Solving Optimization Models with SAS/OR® Categorical Data Analysis Using Logistic Regression Communicating Technical Findings with a Non-Technical Audience Conjoint Analysis: Evaluating Consumer Preferences Using SAS® Software Creating Business Intelligence for Your Organization: Fast Track Creating Information Maps Using SAS® Creating Reports and Graphs with SAS® Enterprise Guide® Credit Risk Modeling Credit Scorecard Development and Implementation Customer Life Cycle Management Using SAS® Customer Segmentation Using SAS® Enterprise Miner™ Data Cleaning Techniques Data Mining Techniques: Predictive Analytics on Big Data Data Mining Techniques: Theory and Practice Data Mining: Principles and Best Practices Data Visualization Using SAS® ODS Graphics DataFlux® Data Management Studio: Creating a New Data Type in the Quality Knowledge Base DataFlux® Data Management Studio: Fast Track DataFlux® Data Management Studio: Understanding the Quality Knowledge Base Decision Tree Modeling Deep Learning Using SAS® Software Design of Experiments for Direct Marketing Designing the Database to Support SAS® Marketing Automation Designing, Tuning, and Maintaining SAS® OLAP Cubes Determining Power and Sample Size Using SAS/STAT® Software Developing Applications with SAS/AF® Software Development of Credit Scoring Applications Using SAS® Enterprise Miner™ Discrete Choice Modeling Using SAS® Software Discrete-Event Simulation with SAS® Simulation Studio Electric Load Forecasting: Advanced Topics and Case Studies Electric Load Forecasting: Fundamentals and Best Practices Enterprise Scheduling with Platform Suite for SAS Episode Builder Features for SAS® Health Analytics Framework 4.5 Essential Data Analysis Using SAS® Studio Tasks: A Point-and-Click Approach Essential Functions of SAS® Intelligent Decisioning Establishing Causal Inferences: Propensity Score Matching, Heckman's Two-Stage Model, Interrupted Time Series, and Regression Discontinuity Models Experimentation in Data Science Exploring SAS® Studio for SAS® Programmers Exporting SAS® Data Sets and Creating ODS Files for Microsoft Excel Extending SAS® Enterprise Miner™ with User-Written Nodes Feature Engineering and Data Preparation for Analytics Fitting Poisson Regression Models Using the GENMOD Procedure Fitting Tobit and Other Limited Dependent Variable Models Forecast Value Added Analysis Forecasting Using Model Studio in SAS® Viya® Forecasting Using SAS® Forecast Server Software Forecasting Using SAS® Software: A Programming Approach Fraud Detection Using Descriptive, Predictive, and Social Network Analytics Free Lunch and Learn: Quality by Design (QbD) Using JMP® Software Free Lunch and Learn: Statistics for FDA Process Validation Using JMP® Software Getting Started with SAS® Studio: A Point-and-Click Approach Getting the Most Out of Testing in Direct/Internet Marketing Hadoop Data Management with Hive, Pig, and SAS® High-Performance Data Manipulation with SAS® DS2 Imputation Techniques in SAS® Instant Applications Using JMP® Application Builder Introduction to Applied Econometrics Introduction to Data Science Statistical Methods Introduction to SAS/ACCESS® Interface to Teradata Introduction to SAS® and Hadoop Introduction to Statistical Concepts JMP Learning Subscription JMP® Clinical: Monitoring Clinical Trials JMP® Pro Software: Exploring and Analyzing Patterns in Text Data JMP® Pro: Analyzing Curves and Profiles Using the Functional Data Explorer JMP® Software: A Case Study Approach to Data Exploration JMP® Software: Analysis of Dose-Response Curves JMP® Software: Analyzing and Modeling Multidimensional Data JMP® Software: Analyzing Discrete Responses JMP® Software: Classic Design of Experiments JMP® Software: Custom Design of Experiments JMP® Software: Design and Analysis of Mixture Experiments JMP® Software: Designing and Building a Complete JMP ® Script JMP® Software: Finding Important Predictors JMP® Software: Introduction to the JMP® Scripting Language JMP® Software: Measurement System Analysis JMP® Software: Modeling Multidimensional Data JMP® Software: Modern Screening Designs JMP® Software: Reliability Analysis for Non-repairable Systems JMP® Software: Stability Analysis JMP® Software: Statistical Decisions Using ANOVA and Regression JMP® Software: Statistical Process Control Leading with Analytics Leveraging the Power of the Quality Knowledge Base (QKB) in SAS® Technology Components Longitudinal Data Analysis Using Discrete and Continuous Responses Machine Learning Leadership and Practice – End-to-End Mastery Machine Learning Using SAS Viya Managing and Using the SAS® Customer Intelligence Common Data Model Managing Models and Building Decisions in SAS® Viya® Managing Models in SAS® Viya® Managing SAS® Analytical Models Using SAS® Model Manager Version 14.2 Market Data Analysis Using JMP® Mixed Models Analyses Using SAS® Modeling Cost Using SAS® Cost and Profitability Management 8.1 Modeling Trend, Cycles, and Seasonality in Time Series Data Using PROC UCM Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS® Multivariate Statistics for Understanding Complex Data Net Lift Models: Optimizing the Impact of Your Marketing Efforts Network Analysis and Network Optimization in SAS® Viya® Neural Network Modeling Neural Networks: Essentials Optimization Concepts for Data Science Optimization Concepts for Data Science and Artificial Intelligence Predictive Modeling Using JMP® Pro Predictive Modeling Using Logistic Regression Predictive Modeling Using SAS® High-Performance Analytics Procedures Probability Surveys 1: Design, Descriptive Statistics, and Analysis Processing Database and PC File Data with SAS/ACCESS® Software Profit-Driven Business Analytics Programming for SAS® Viya® Programming with SAS/IML® Software Propensity Score Matching, Adjustment, and Randomized Experiments Quality by Design (QbD) Using JMP® Software Quality by Design for the Life Cycle of an Analytical Procedure Risk Modeling Add-on for SAS Visual Machine Learning: Using Credit Scoring Nodes (multi-version course) (+10 virtual lab hours) Robust Regression Techniques in SAS/STAT® SAS Certification Exam Session SAS Certified Specialist: Base Programming Certification Event SAS Customer Intelligence 360 Learning Portal SAS Learning Subscription SAS Platform Administrator for SAS 9 Exam SAS Risk and Finance Workbench 3.2: Workshop SAS Visual Data Mining and Machine Learning in SAS Viya: Interactive Machine Learning SAS Viya and R Integration for Machine Learning SAS Viya Enablement SAS/GRAPH®: Essentials SAS® Academy for Data Science: Advanced Analytics SAS® AI & Machine Learning Certification Program SAS® AI & Machine Learning Certification Program (AI only) SAS® Anti-Money Laundering in SAS® Viya®: Administration SAS® Anti-Money Laundering in SAS® Viya®: Overview SAS® Business Intelligence Reporting: Fast Track SAS® Business Rules Manager Usage SAS® Business Rules Manager: Applications for Risk Solutions SAS® Certification Review: SAS® 9.4 Base Programming Performance-Based Exam SAS® Collaborative Planning Workbench 5.2: Using the Solution SAS® Compliance Solutions: Administration SAS® Compliance Solutions: Overview SAS® Contextual Analysis: Building Models SAS® Conversation Designer Essentials SAS® Data Curation Professional SAS® Data Governance Essentials SAS® Data Integration Studio: Fast Track SAS® Demand-Driven Forecasting: Using the Solution SAS® Demand-Driven Planning and Optimization 5.2: Solution Orientation SAS® Energy Forecasting Solution: Introduction SAS® Enterprise Guide® 1: Querying and Reporting SAS® Enterprise Guide® 2: Advanced Tasks and Querying SAS® Enterprise Guide® for Experienced SAS® Programmers SAS® Enterprise Guide®: ANOVA, Regression, and Logistic Regression SAS® Enterprise Miner™ High-Performance Data Mining Nodes SAS® Enterprise Miner™ Integration with Open Source Languages SAS® Event Stream Processing SAS® Expected Credit Loss for CECL: Using the Solution SAS® Expected Credit Loss Workshop V06: Loading ECL Data SAS® Expected Credit Loss Workshop: Implementing ECL Models SAS® Expected Credit Loss Workshop: Reviewing and Adjusting ECL Output SAS® Expected Credit Loss: Solution Overview for CECL SAS® Expected Credit Loss: Solution Overview for IFRS 9 SAS® Expected Credit Loss: Workshop SAS® Federation Server: Accessing and Virtualizing Enterprise Data SAS® Field Quality Analytics 6.1: Essentials SAS® Field Quality Analytics: Advanced Topics SAS® Financial Management 5.6: Data Administration SAS® Financial Management: Financial Planning SAS® Financial Management: Financial Reporting SAS® Forecast Analyst Workbench 5.2 : Using the Solution SAS® Fraud Framework: Administering Social Network Analysis SAS® Fraud Framework: Investigating Alerts Using Social Network Analysis SAS® Fraud Management: Using Manager's Workbench SAS® Fraud Management: Using SAS® Rules Studio SAS® Functions by Example SAS® Grid Computing for Programmers SAS® Grid Manager Administration SAS® High-Performance Markdown Optimization Analytics and Modeling SAS® Infrastructure for Risk Management: Solution Overview SAS® Intelligence and Investigation Management: Administration SAS® Intelligence and Investigation Management: Overview SAS® Life Science Analytics Framework Administration SAS® Life Science Analytics Framework Essentials SAS® Life Science Analytics Framework Programming SAS® Macro Language 1: Essentials SAS® Macro Language 2: Advanced Techniques SAS® Marketing Automation: Administration SAS® Marketing Automation: Advanced Campaign Design SAS® Marketing Automation: Defining the Data and Structure for Campaigns SAS® Marketing Automation: Designing and Executing Outbound Marketing Campaigns SAS® Marketing Automation: Transitioning to SAS® 360 Engage: Direct SAS® Merchandise Planning for Solution Administrators SAS® Merchandise Planning: Pre-Solution Definition Workshop Overview SAS® Model Implementation Platform: Solution Overview SAS® Model Risk Management: Workshop SAS® Office Analytics: Fast Track SAS® Office Analytics: Getting Started SAS® Open Model Manager Usage SAS® Platform Administration: Fast Track SAS® Platform Administration: Getting Started SAS® Platform Administration: Hands-on Troubleshooting of SAS® 9.4 SAS® Programming 1: Essentials SAS® Programming 2: Data Manipulation Techniques SAS® Programming 3: Advanced Techniques SAS® Programming for R Users SAS® Programming with SAS® Grid Manager for Platform SAS® Real-Time Decision Manager: Administration SAS® Real-Time Decision Manager: Creating and Managing Campaigns SAS® Real-Time Decision Manager: Creating Resources for Inbound Campaigns SAS® Report Writing SAS® Risk Engine: Using the Solution SAS® Risk Governance Framework: Solution Overview SAS® Risk Modeling: Using the Solution SAS® Risk Stratum for CECL: Workshop SAS® Risk Stratum: Data Preparation, Configuration, and Administration SAS® Risk Stratum: Solution Overview for CECL SAS® Risk Stratum: Working with Models SAS® Solution Content for Stress Testing: Solution Overview SAS® SQL 1: Essentials SAS® SQL Methods and More SAS® Stored Processes: Advanced Techniques SAS® Strategy Management: Building and Managing a Scorecard Strategy SAS® Visual Analytics 1 for SAS® Viya®: Basics SAS® Visual Analytics 1 for SAS®9: Basics SAS® Visual Analytics 2 for SAS® Viya®: Advanced SAS® Visual Analytics 2 for SAS®9: Advanced SAS® Visual Analytics for SAS® 9: Administering a Distributed Deployment SAS® Visual Analytics: Transitioning from SAS® 9 to SAS® Viya® SAS® Visual Investigator: Analysis and Investigation SAS® Visual Investigator: Building the Interface SAS® Visual Statistics in SAS® Viya®: Interactive Model Building SAS® Visual Statistics: Interactive Model Building SAS® Visual Text Analytics in SAS® Viya® SAS® Viya® Administration SAS® Viya® Administration: Fast Track SAS® Viya® and Python Integration for Machine Learning SAS® Workflow Studio and Workflow Services 9.4 Self-Service Data Preparation in SAS® Viya® Social Network Analysis for Business Applications Social Network Analytics Solution Orientation for SAS® Size Optimization Solution Overview for IFRS 9 on SAS® Risk Stratum State Space Modeling Essentials Using the SSM Procedure in SAS/ETS® Stationarity Testing and Other Time Series Topics Statistical Analysis with the GLIMMIX Procedure Statistical Process Control Using SAS/QC® Software Statistical Thinking for Industrial Problem Solving Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression Statistics 2: ANOVA and Regression Statistics for FDA Process Validation Using JMP® Software Strategic Planning and Decision-Making: Powered by SAS® Strategies and Concepts for Data Scientists and Business Analysts Structural Equation Modeling Using SAS® Supervised Machine Learning Procedures Using SAS® Viya® in SAS® Studio Survival Analysis Using the Proportional Hazards Model Survival Data Mining Using SAS® Enterprise Miner™ Software Survival Data Mining: A Programming Approach Taking Your SAS® Programming Skills to the Next Level Text Analytics and Sentiment Mining Using SAS® Text Analytics Using SAS® Text Miner Time Series Feature Mining and Creation Time Series Modeling Essentials Tree-Based Machine Learning Methods in SAS® Viya® User-Friendly, Comprehensive SAS® Statistical Applications: Classification Models User-Friendly, Comprehensive SAS® Statistical Applications: Multivariate Models User-Friendly, Comprehensive SAS® Statistical Applications: Regression Models Using Assortment Planning in SAS® Merchandise Planning Using Financial Planning in SAS® Merchandise Planning Using Performance Analysis in SAS® Merchandise Planning Using SAS® to Put Open Source Models into Production Using SAS® Forecast Server Procedures Using SAS® Inventory Optimization Workbench 5.2 Using SAS® Markdown Optimization Using SAS® Pack Optimization Using SAS® Size Profiling Using SAS® Software with AWS
Using SAS® Tools for Profitability Performance Management Using SAS® Viya® REST APIs with Python and R Using SAS® Web Report Studio What's New with SAS® Cost and Profitability Management 8.1 Working with SAS® Data Loader for Hadoop Working with SAS® Viya® Jobs Workload Orchestrator Administration for SAS® Grid Writing a Custom Task for SAS® Studio