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Kursöversikt 2010

■ SAS Forum 2010 och specialkurser

■ SAS Master Class

SAS® Enterprise Guide®

SAS®-programmering

Rapportering och grafer

SAS® avancerad programmeringKontaktinformationStora Frösunda Gård

Box 609

169 20 SOLNA (Stockholm)

Telefon 08 - 522 170 00

www.sas.com/sweden

SAS ® FoundationSAS

EducationProviding knowledge through global training and certification

FOR UP-TO-THE-MINUTE DATES PLEASE REFER TO:

Denmark:www.saskurser.dk

Norway:www.sas.com/norway/training

Sweden:www.sas.com/sweden/training

July-December

Scandinavia Course Schedule

SAS® EducationProviding knowledge through global training and certification

2010

Courses in Scandinavia

Data Mining Location Start Day Duration

Advanced Analytics for Customer Intelligence Using SAS Copenhagen 30 Aug 3 days

Advanced Analytics for Customer Intelligence Using SAS Stockholm 20 Sep 3 days

Advanced Predictive Modeling Using SAS Enterprise Miner Copenhagen 30 Aug 2 days

Advanced Predictive Modeling Using SAS Enterprise Miner Oslo 16 Dec 2 days

Applied Analytics Using SAS Enterprise Miner Copenhagen 11 Oct 3 days

Applied Analytics Using SAS Enterprise Miner Oslo 25 Aug 15 Nov 3 days

Applied Analytics Using SAS Enterprise Miner Skanderborg 01 Dec 3 days

Applied Analytics Using SAS Enterprise Miner Stockholm 06 Sep 24 Nov 3 days

Building Analytic Datamarts Copenhagen 30 Aug 1 day

Data Mining Techniques: Theory and Practice Copenhagen 30 Aug 3 days

Managing SAS Analytical Models Using SAS Model Manager Copenhagen 01 Sep 1 day

Mining Textual Data Using SAS Text Miner for SAS 9 Copenhagen Contact us 1 day

Net Lift Models: Optimizing the Impact of Your Marketing Efforts Copenhagen 30 Aug 1 day

Predictive Modeling Using SAS Enterprise Miner Exam Oslo Contact us 0.5 day

Forecasting Location Start Day Duration

Forecasting Using SAS Forecast Server Software Stockholm 15 Nov 2 days

Forecasting Using SAS Software: A Programming Approach Copenhagen 30 Aug 3 days

Forecasting Using SAS Software: A Programming Approach Oslo 13 Dec 3 days

Using SAS High-Performance Forecasting Software Stockholm 17 Nov 3 days

2

JMP Software Location Start Day Duration

JMP Software: ANOVA and Regression Copenhagen 08 Nov 2 days

JMP Software: ANOVA and Regression Oslo 14 Oct 2 days

JMP Software: Classic Design of Experiments Copenhagen Contact us 2 days

JMP Software: Classic Design of Experiments Oslo Contact us 2 days

JMP Software: Classic Design of Experiments Stockholm Contact us 2 days 2 days

JMP Software: Data Exploration Oslo 03 Dec 1 day

JMP Software: Introduction to the JMP Scripting Language Oslo 20 Dec 2 days

Networking Location Start Day Duration

SAS 9 Platform netværksmøde Copenhagen 16 Sep 18 Nov 1 day

SAS Analytics netværksmøde Copenhagen 05 Oct 0.5 day

Reporting & Graphics Location Start Day Duration

SAS Report Writing 1: Using Procedures and ODS Copenhagen 06 Sep 2 days

SAS Report Writing 1: Using Procedures and ODS Oslo Contact us 3 days

SAS Report Writing 1: Using Procedures and ODS Skanderborg 01 Nov 2 days

SAS Report Writing 1: Using Procedures and ODS Stockholm 17 Nov 3 days

SAS/GRAPH 1: Essentials Copenhagen 04 Oct 2 days

SAS/GRAPH 1: Essentials Oslo 16 Nov 3 days

SAS/GRAPH 1: Essentials Stockholm 01 Dec 3 days

SAS/GRAPH 2: ODS Graphics Procedure and Graphics Template Language Copenhagen 28 Oct 2 days

SAS/GRAPH 2: ODS Graphics Procedure and Graphics Template Language Skanderborg 25 Nov 2 days

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SAS Advanced Programming Location Start Day Duration

SAS Advanced Programming Exam for SAS 9 Copenhagen 09 Sep 05 Nov 0.5 day

SAS Advanced Programming Exam for SAS 9 Oslo 30 Aug 30 Nov 0.5 day

SAS Advanced Programming Exam for SAS 9 Skanderborg 09 Dec 0.5 day

SAS Advanced Programming Exam for SAS 9 Stockholm 04 Oct 03 Dec 0.5 day

SAS Macro Language 2: Developing Macro Applications Copenhagen 22 Nov 2 days

SAS Macro Language 2: Developing Macro Applications Oslo 22 Nov 2 days

SAS Macro Language 2: Developing Macro Applications Stockholm 15 Sep 2 days

SAS Programming 3: Advanced Techniques and Efficiencies Copenhagen 04 Oct 01 Dec 3 days

SAS Programming 3: Advanced Techniques and Efficiencies Oslo 15 Nov 3 days

SAS Programming 3: Advanced Techniques and Efficiencies Stockholm 27 Oct 3 days

SAS Programming Enhancements in SAS 9.2 Copenhagen 29 Sep 22 Dec 1 day

SAS Programming Enhancements in SAS 9.2 Oslo 09 Sep 11 Nov 1.5 day

Tips & Tricks in SAS Foundation Copenhagen 15 Sep 09 Dec 1 day

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SAS Business Intelligence Location Start Day Duration

BI 1: Programming and Integrating SAS BI Clients Copenhagen 27 Sep 29 Nov 3 days

BI 1: Programming and Integrating SAS BI Clients Skanderborg 11 Oct 3 days

BI 2: Maintaining, Automating and Optimizing SAS BI Clients Oslo 18 Nov 2 days

Best Practice - SAS Business Intelligence Environment Oslo 24 Sep 09 Dec 1 day

Creating Business Intelligence for Your Organization: Fast Track Oslo 20 Sep 25 Oct 29 Nov 4 days

Creating Business Intelligence for Your Organization: Fast Track Stockholm 08 Sep 08 Nov 3 days

Creating Reports on Windows and Web with SAS-Add In for

Microsoft Office and SAS Web Report Studio Copenhagen 27 Sep 2 days

Creating Reports on Windows and Web with SAS-Add In for

Microsoft Office and SAS Web Report Studio Oslo 16 Sep 04 Nov 2 days

Designing, Tuning, and Maintaining SAS OLAP Cubes Oslo 04 Oct 08 Dec 3 days

Designing, Tuning, and Maintaining SAS OLAP Cubes Stockholm 27 Sep 3 days

SAS BI Content Developer Exam for SAS 9 Copenhagen 09 Sep 05 Nov 0.5 day

SAS BI Content Developer Exam for SAS 9 Oslo 30 Aug 30 Nov 0.5 day

SAS BI Content Developer Exam for SAS 9 Skanderborg 21 Oct 09 Dec 0.5 day

SAS Business Intelligence Reporting 1: Essentials Oslo 16 Sep 04 Nov 2 days

SAS Indkøbsanalyse: Rapportering Copenhagen Please contact us for training options 2 days

5

SAS Data Integration Location Start Day Duration

Accessing Data in the SAS Scalable Performance Data Server Copenhagen Contact us 3 days

Accessing Data in the SAS Scalable Performance Data Server Oslo Contact us 3 days

Accessing Data in the SAS Scalable Performance Data Server Stockholm Contact us 3 days

Data Integration Architecture and Design Oslo 11 Oct 3 days

DataFlux dfPower Studio Copenhagen Contact us 3 days

DataFlux dfPower Studio Oslo Contact us 3 days

DataFlux dfPower Studio Stockholm Contact us 3 days

Enhancements in SAS Data Integration Studio 4.2 and

SAS Enterprise BI Server 4.2/4.3 Copenhagen 26 Oct 2 days


SAS Enterprise BI Server 4.2/4.3 Oslo 30 Aug 4 Nov 06 Dec 2 days


SAS Enterprise BI Server 4.2/4.3 Skanderborg 02 Nov 2 days

SAS Data Integration Developer Exam for SAS 9 Copenhagen 09 Sep 05 Nov 0.5 day

SAS Data Integration Developer Exam for SAS 9 Oslo 30 Aug 30 Nov 0.5 day

SAS Data Integration Developer Exam for SAS 9 Skanderborg 21 Oct 09 Dec 0.5 day

SAS Data Integration Studio 1: Essentials Copenhagen 04 Oct 13 Dec 3 days

SAS Data Integration Studio 2: Additional Topics Oslo 11 Nov 2 days

SAS Data Integration Studio: ETL Development with Star Schemes Copenhagen 18 Oct 3 days

SAS Data Integration Studio: Fast Track Oslo 13 Sep 18 Oct 22 Nov 4 days

SAS Data Integration Studio: Fast Track Stockholm 11 Oct 4 days

dfPower Customize: Understanding the Quality Knowledge Base Copenhagen Contact us 2 days

dfPower Customize: Understanding the Quality Knowledge Base Oslo Contact us 2 days

dfPower Customize: Understanding the Quality Knowledge Base Stockholm Contact us 2 days

6

SAS Enterprise Guide Location Start Day Duration

Analyse af Spørgeskema Data Copenhagen 15 Nov 2 days

Enhancements in SAS Enterprise Guide 4.2/4.3 Oslo 30 Sep 22 Nov 1 day

Introduction to Statistics Using SAS Enterprise Guide Copenhagen 13 Sep 2 days

Introduction to Statistics Using SAS Enterprise Guide Oslo 16 Sep 01 Nov 2 days

Introduction to Statistics Using SAS Enterprise Guide Skanderborg 25 Oct 2 days

Introduction to Statistics Using SAS Enterprise Guide Stockholm 09 Oct 2 days

SAS Enterprise Guide 1: Querying and Reporting Copenhagen 11 Oct 3 days

SAS Enterprise Guide 1: Querying and Reporting Oslo 09 Sep 25 Oct 24 Nov 14 Dec 3 days

SAS Enterprise Guide 1: Querying and Reporting Skanderborg 06 Sep 09 Nov 3 days

SAS Enterprise Guide 1: Querying and Reporting Stockholm 30 Aug 07 Oct 09 Dec 2 days

SAS Enterprise Guide 2: Advanced Tasks and Querying Oslo 28 Oct 2 days

SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression Oslo 15 Nov 3 days

SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression Stockholm 25 Oct 3 days

SAS Programming Essentials for Experienced SAS Enterprise Guide Users Copenhagen 20 Sep 2 days

SAS Programming Essentials for Experienced SAS Enterprise Guide Users Oslo 13 Sep 2 days

SAS Programming Essentials for Experienced SAS Enterprise Guide Users Skanderborg 06 Dec 2 days

SAS Programming Essentials for Experienced SAS Enterprise Guide Users Stockholm 18 Sep 13 Dec 2 days

7

SAS Platform Administration Location Start Day Duration

Enhancements in SAS Platform Administration for SAS 9.2 Copenhagen 23 Sep 2 days

Enhancements in SAS Platform Administration for SAS 9.2 Skanderborg 25 Nov 2 days

SAS Platform Administration 1: Essentials Oslo 27 Sep 2 days

SAS Platform Administration: Fast Track Copenhagen 23 Aug 29 Nov 5 days

SAS Platform Administration: Fast Track Skanderborg 04 Oct 5 days

SAS Platform Administration: Fast Track Stockholm 20 Sep 4 days

SAS Platform Administrator Exam for SAS 9 Copenhagen 09 Sep 05 Nov 0.5 day

SAS Platform Administrator Exam for SAS 9 Oslo 30 Aug 30 Nov 0.5 day

SAS Platform Administrator Exam for SAS 9 Skanderborg 21 Oct 09 Dec 0.5 day

8

SAS Programming Location Start Day Duration

SAS Base Programming Exam for SAS 9 Copenhagen 09 Sep 04 Nov 0.5 day

SAS Base Programming Exam for SAS 9 Oslo 30 Aug 30 Nov 0.5 day

SAS Base Programming Exam for SAS 9 Skanderborg 21 Oct 09 Dec 0.5 day

SAS Base Programming Exam for SAS 9 Stockholm 04 Oct 03 Dec 0.5 day

SAS Enterprise Guide for Experienced SAS Programmers Copenhagen 23 Aug 01 Dec 1 day

SAS Enterprise Guide for Experienced SAS Programmers Oslo 20 Sep 29 Nov 2 days

SAS Enterprise Guide for Experienced SAS Programmers Skanderborg 25 Oct 1 day

SAS Enterprise Guide for Experienced SAS Programmers Stockholm 23 Sep 29 Nov 2 days

SAS Macro Language 1: Essentials Copenhagen 20 Sep 25 Oct 13 Dec 3 days

SAS Macro Language 1: Essentials Oslo 29 Sep 08 Nov 2 days

SAS Macro Language 1: Essentials Skanderborg 29 Nov 3 days

SAS Macro Language 1: Essentials Stockholm 13 Sep 15 Nov 2 days

SAS Programming 1: Essentials Copenhagen 06 Sep 11 Oct 08 Nov 06 Dec 3 days

SAS Programming 1: Essentials Oslo 06 Sep 19 Oct 29 Nov 3 days

SAS Programming 1: Essentials Skanderborg 18 Oct 13 Dec 3 days

SAS Programming 1: Essentials Stockholm 23 Aug 27 Sep 01 Nov 06 Dec 3 days

SAS Programming 2: Data Manipulation Techniques Copenhagen 25 Oct 13 Dec 3 days

SAS Programming 2: Data Manipulation Techniques Oslo 22 Sep 03 Nov 3 days

SAS Programming 2: Data Manipulation Techniques Skanderborg 20 Sep 22 Nov 3 days

SAS Programming 2: Data Manipulation Techniques Stockholm 01 Sep 04 Oct 08 Nov 3 days

SAS SQL 1: Essentials Copenhagen 13 Sep 18 Oct 06 Dec 3 days

SAS SQL 1: Essentials Oslo 11 Oct 3 days

SAS SQL 1: Essentials Skanderborg 15 Nov 3 days

SAS SQL 1: Essentials Stockholm 16 Sep 22 Nov 2 days

SAS SQL and Macro Essentials: Fast Track Copenhagen Please contact us for details 4 days9

Statistics & Analyses Location Start Day Duration

Building and Solving Optimization Models with SAS/OR Copenhagen 30 Aug 3 days

Introduction to Programming with SAS/IML Software Copenhagen Contact us 2 days

Introduction to Programming with SAS/IML Software Oslo Contact us 2 days

Introduction to Programming with SAS/IML Software Stockholm Contact us 2 days

Mixed Model Analyses Using SAS Oslo 20 Oct 3 days

Predictive Modeling Using Logistic Regression Copenhagen 27 Sep 2 days

Predictive Modeling Using Logistic Regression Oslo 07 Oct 2 days

Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression Copenhagen 01 Nov 3 days

Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression Oslo 20 Oct 3 days

Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression Stockholm 20 Oct 3 days

Statistics 2: ANOVA and Regression Copenhagen 22 Nov 3 days

Statistics 2: ANOVA and Regression Oslo 08 Dec 3 days

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SAS® Enterprise Guide®

SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression This course is designed for SAS Enterprise Guide users with statistical knowledge who want to perform statistical analyses.

You will learn how to generate descriptive statistics and explore data with graphs, perform analysis of variance and perform linear regression and assess the assumptions. Use diagnostic statistics to identify potential outliers in multiple regression, chi-square statistics to detect associations among categorical variables. You will also learn how tofit a multiple logistic regression model.

SAS® Programming Essentials for Experienced SAS® Enterprise Guide® UsersThis course is for experienced SAS Enterprise Guide users who want to gain extra value from the product by under-standing the code that it generates and methods of enhancing that code. The course will serve as a transition into the pro-gramming world of SAS and serves as a prerequisite for the SAS Programming 2: Data Manipulation Techniques course.

SAS® Enterprise Guide® 1: Querying and ReportingThis course is for business analysts who need to access, manage, and summarize data from different sources, and present results in tables and graphs. This course focuses on using the menu-driven tasks in SAS Enterprise Guide.

Although you can write, submit, and generate SAS program-ming code using SAS Enterprise Guide, this course does not teach the SAS programming language.

SAS® Enterprise Guide® 2: Advanced Tasks end QueringThis course is intended for experienced SAS Enterprise Guide users who want to learn more about advanced SAS Enterprise Guide techniques. It focuses on using the Query Builder within SAS Enterprise Guide, including manipulat-ing character, numeric, and date values; converting variable type; and building conditional expressions using the Expres-sion Builder.

This course also addresses efficiency issues, such as joining tables and using a single query to group, summarize, and fil-ter data.

Introduction to Statistics Using SAS® Enterprise Guide®

If you need statistic information from your data but doesn’t have any statistic knowledge This course gives an introduc-tion to statistical analysis, and uses SAS Enterprise Guide as a tool to carry out these analyses.

You learn how to explore and analyze your data to get more information and a better understanding of the data and what it represents.

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SAS®-Programming

SAS® Programming 1: EssentialsThis course is for users who want to learn how to write SAS programs. It is the entry point to learning SAS programming and is a prerequisite to other SAS courses.

You will learn how to access, manage, and summarize data from different sources, and present results in tables and graphs. If you do not plan to write SAS programs and you prefer a point-and-click interface, you should attend the SAS Enterprise Guide 1: Querying and Reporting course.

SAS® Programming 2: Data Manipulation TechniquesThis course is for those who need to learn data manipulation techniques using SAS DATA and procedure steps to access, transform, and summarize SAS data sets.

You will learn how to control SAS data set input and output, combine SAS data sets, summarize, read, and write different types of data, perform DO loop and SAS array processing, and transform character, numeric, and date variables.

SAS® Enterprise Guide for Experienced SAS® ProgrammersThis course introduces experienced SAS programmers to SAS Enterprise Guide.

You will learn how to write, edit, and submit SAS programs in SAS Enterprise Guide, use point-and-click tasks and wizards to access data and create queries, reports, and graphics, customize task output by modifying the code that is generated by SAS Enterprise Guide, and automate exporting and schedule updates.

SAS® SQL 1: EssentialsThis course teaches you how to process SAS data using Structured Query Language (SQL).

You will learn how to query and subset data, summarize and present data, combine tables, including complex joins and merges, create and modify table views and indexes, and replace multiple DATA and PROC steps with one SQL query.

SAS® Macro Language 1: EssentialsThis course focuses on the components of the SAS macro facility and how to design, write, and debug macro systems. Emphasis is placed on understanding how programs with macro code are processed.

You will learn how to perform text substitution in SAS code, automate and customize the production of SAS code, con-ditionally or iteratively construct SAS code, and use macro variables and macro functions.

SAS® Certified Base Programmer for SAS® 9 CredentialFå bevis på dina nyvunna kunskaper inom Base SAS®-programmering genom att certifiera dig.

Vill du veta mer, kontakta oss på:[email protected]

SAS Certified Base Programmer for SAS 9 CredentialThis credential is designed for programmers, analysts, data managers or anyone writing SAS programs to access and manage data to perform queries and analyses. This and the SAS Certified Advanced Programmer for SAS 9 credentials are appropriate as foundation knowledge for many other job roles.

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Reporting & Graphics

SAS® Report Writing 1: Using Procedures and ODSThis course teaches you how to create detailed tabular, sum-mary, and listing reports.

You will learn how to use PROC REPORT to generate tabu-lar detail reports, detail reports with subtotals and grand totals, and detail reports with computed columns, generate summary reports based on GROUP, ACROSS, or CLASS variables using PROC REPORT and PROC TABULATE, insert appropriate summary lines into reports, send report output to the RTF, PDF, and HTML destinations and change reports using ODS options and style overrides.

SAS/GRAPH® 1: EssentialsThis course teaches you how to produce high-quality presen-tation graphics using SAS/GRAPH software.

You will learn how to design graphs that describe their data in the most appropriate fashion, customize default graph ele-ments such as axes and legends, apply annotations that sup-plement the features available with SAS/GRAPH procedures, and deliver graphs in multiple formats, such as static image files and client-generated images.

SAS/GRAPH® 2: ODS and Graph Template LanguageThis course covers ODS Statistical Graphics in SAS 9.2, sta-tistical procedures, the new SAS/GRAPH procedures and the Graph Template Language.

You will learn how to produce ODS Statistical Graphics in SAS 9.2, use procedures and new SAS/GRAPH procedures to produce publication-quality graphics for data presentation with minimal effort, create custom graphs using the Graph Template Language (GTL), and use the new ODS Graphics Designer.

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SAS® Programming 3: Advanced Techniques and EfficienciesThis course is for SAS programmers who prepare data for analysis. The comparisons of manipulation techniques and resource cost benefits are designed to help programmers choose the most appropriate technique for their data situa-tion.

You will learn how to compare various SAS programming techniques that enable you to control memory, I/O, and CPU resources, create and use indexes, combine data horizontally and vertically, use hash and hiter DATA step component objects, arrays, and formats as lookup tables.

SAS® Programming Enhancements in SAS® 9.2During this course students learn new functionality in SAS 9.2 Foundation. The course focuses on advanced functionality through exercises and examples.

You will learn how to create functions and subroutines with the FCMP procedure, the SAS Code Analyzer (SCAPROC Procedure), the new checkpoint/restart feature for error pro-cessing and debugging, enhancements in SQL, hash object, linguistic sorting, and the SAS Macro Facility, and enhance-ments to ODS and graphics.

SAS® Advanced Programming

SAS® Macro Language 2: Developing Macro ApplicationsThis course is designed for experienced SAS macro program-mers who want to learn to develop and use macro applica-tions. New techniques and best practices are taught within the context of the applications.

You will learn how to create a framework for developing macro applications, develop reusable macros, read and pro-cess data, and pass and process macro parameters.

SAS® Certified Advanced Programmer for SAS® 9 CredentialFå bevis på dina nyvunna kunskaper inom Base SAS®-programmering genom att certifiera dig.


SAS Certified Advanced Programmer for SAS 9 CredentialThis credential is the next level for SAS Base Programmer for SAS 9 certified professionals. This and the Base Programmer credentials are appropriate as foundation knowledge for many other job roles

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SAS® Data Integration

Enhancements in SAS® Data integration Studio 4.2 and SAS® Enterprise BI Server 4.2/4.3This course is for data integration and BI developers who want to learn about enhancements and new features in SAS Data Integration Studio 4.2 and SAS Enterprise Business Intelli-gence Server 4.2. We cover SAS Data Integration Studio the first day and SAS Enterprise BI Server on the second day.

DataFlux dfPower StudioThis course is designed for data quality stewards who need to learn DataFlux dfPower Studio.

Learn how to profile data, improve data by applying various data cleansing techniques, by integration and by address verification, control the data cleansing cycle by using trend analysis and business rules monitoring, set up batch schedules, define and use macro variables, and define and use custom metrics.

dfPower Customize: Understanding the Quality Knowledge Base The objective of this course is to provide the participant with a fundamental understanding of how to properly apply dfPower Studio and use dfPower Customize to benefit all data quality and data integration initiatives.

SAS® Data Integration Studio 1: EssentialsThis course introduces SAS Data Integration Studio and includes topics for registering sources and targets; creating and working with jobs; and working with transformations.

Learn how to register source data and target tables, create jobs and explore the functionality of the Job Editor, work with many of the various transformations, build a SAS OLAP cube and SAS Information Map.

SAS® Data Integration Studio 2: Additional Topics This course expands on the knowledge learned in SAS Data Integration Studio 1: Essentials and provides additional information on setting up change management, working with slowly changing dimensions, as well as status handling and change data capture.

Learn how to set up change management, enhance table relationships using integrity constraints, key, and indexes, work with slowly changing dimensions, create custom trans-formations with the Transformation Generator Wizard, and administer SAS Data Integration Studio.

SAS® Data Integration Studio: ETL Development with Star SchemesThe aim of this course is to learn how to develop star schemes and use them for data warehouse development.

You will learn the basic principles concerning data modeling and star schemes. You will also learn how to form, use and update star schemes. The course is an extension of the topics presented in “SAS Data Integration Studio 1: Essentials”.

Accessing Data in the SAS® Scalable Performance Data ServerThis course introduces the SAS Scalable Performance Data Server and provides hands-on experience accessing and creating SPD Server data from SAS.

Learn how to use the SPD Server LIBNAME engine, use the SPD Server SQL pass through facility, write SAS code to optimize the utilization of SPD Server resources, use SAS Enterprise Guide to access SPD Server data.

SAS® Certified Data Integration Developer for SAS® 9 CredentialFå bevis på dina nyvunna kunskaper inom SAS Data Integration genom att certifiera dig.


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SAS® Data Integration

Enhancements in SAS® Data integration Studio 4.2 and SAS® Enterprise BI Server 4.2/4.3This course is for data integration and BI developers who want to learn about enhancements and new features in SAS Data Integration Studio 4.2 and SAS Enterprise Business Intelli-gence Server 4.2. We cover SAS Data Integration Studio the first day and SAS Enterprise BI Server on the second day.


Learn how to profile data, improve data by applying various data cleansing techniques, by integration and by address verification, control the data cleansing cycle by using trend analysis and business rules monitoring, set up batch schedules, define and use macro variables, and define and use custom metrics.

dfPower Customize: Understanding the Quality Knowledge Base The objective of this course is to provide the participant with a fundamental understanding of how to properly apply dfPower Studio and use dfPower Customize to benefit all data quality and data integration initiatives.



SAS® Data Integration Studio 2: Additional Topics This course expands on the knowledge learned in SAS Data Integration Studio 1: Essentials and provides additional information on setting up change management, working with slowly changing dimensions, as well as status handling and change data capture.

Learn how to set up change management, enhance table relationships using integrity constraints, key, and indexes, work with slowly changing dimensions, create custom trans-formations with the Transformation Generator Wizard, and administer SAS Data Integration Studio.





SAS® Certified Data Integration Developer for SAS® 9 CredentialFå bevis på dina nyvunna kunskaper inom SAS Data Integration genom att certifiera dig.


SAS® Certified Data Integration Developer for SAS® 9 CredentialThe SAS Data Integration Development for SAS 9 exam will test the candidate’s ability to apply the skills and knowledge necessary for Data Integration Development in the SAS environment.



SAS® Data Integration Studio 2: Additional TopicsThis course expands on the knowledge learned in SAS Data Inte-gration Studio 1: Essentials and provides additional information on setting up change management, working with slowly changing dimensions, as well as status handling and change data capture.

Learn how to set up change management, enhance table relation-ships using integrity constraints, key, and indexes, work with slowly changing dimensions, create custom transformations with the Transformation Generator Wizard, and administer SAS Data Integration Studio.

SAS Data Integration Studio: Fast TrackThis course is a condenced 4-day version of the two courses ‘SAS® Data Integration Studio 1: Essentials and ‘SAS® Data Integration Studio 2: Additional Topics’

Data Integration Architecture and DesignThis course introduces data integration architecture concepts in-cluding modeling; understanding the different types of data sourc-es; and designing the process of creating and using data warehouse information.





Enhancements in SAS® Data integration Studio 4.2and SAS® Enterprise BI Server 4.2/4.3This course is for data integration and BI developers who want to learn about enhancements and new features in SAS Data Integration Studio 4.2 and SAS Enterprise Business Intelligence Server 4.2. We cover SAS Data Integration Studio the first day and SAS Enterprise BI Server on the second day.


Learn how to profile data, improve data by applying various data cleansing techniques, by integration and by address verification, control the data cleansing cycle by using trend analysis and busi-ness rules monitoring, set up batch schedules, define and use macro variables, and define and use custom metrics.

dfPower Customize: Understanding the Quality Knowledge BaseThe objective of this course is to provide the participant with a fundamental understanding of how to properly apply dfPower Studio and use dfPower Customize to benefit all data quality and data integration initiatives.

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SAS® Business Intelligence

Creating Reports on Windows and Web with SAS®-Add In for Microsoft Office and SAS® Web Report StudioSAS® Business Intelligence Reporting 1: EssentialsThis course teaches how to access reports and analyze data using several of the business user applications in the platform for SAS Business Analytics with focus on SAS Web Report Stu-dio and SAS-Add In for Microsoft Office.

Learn how to identify the various types of reports, work with SAS analyses, interact with multidimensional data, access SAS data sources, and create reporting presentations.

BI 1: Programming and Integrating SAS® BI Clients Creating Business Intelligence for Your Organization 1: EssentialsThis course teaches how to build reports, analyses, SAS Infor-mation Maps, SAS Stored Processes and dashboards for con-sumption by business users and other information consumers in your organization.

Learn how to use the business user applications in the platform for SAS Business Analytics, build SAS Information Maps, SAS Stored Processes, and SAS BI Dashboards, consolidate infor-mation into a business reporting application, examine the types of metadata created in the platform for SAS Business Analytics, and create multidimensional data sources.

BI 2: Maintaining, Automating and Optimizing SAS® Business Intelligence ClientsCreating Business Intelligence for Your Organization 2: Additional TopicsThis course expands on the knowledge learned in the BI 1: Programming and Integrating SAS® BI Clients course and pro-vides advanced techniques for building SAS Information Maps, SAS Reports, SAS Stored Processes, and SAS BI Dashboards.

Learn how to create and exploit dynamic value selection, build advanced information maps using SAS Information Map Studio, generate and update information maps programmati-cally, build, schedule, and distribute advanced reports, produce advanced stored processes able to create dynamic data sources, and build advanced SAS BI Dashboard applications.

Enhancements in SAS® Data Integration Studio 4.2 and SAS® Enterprise BI Server 4.2/4.3This course is for data integration and BI developers who want to learn about enhancements and new features in SAS Data Integration Studio 4.2 and SAS Enterprise Business Intelli-gence Server 4.2. We cover SAS Data Integration Studio the first day and SAS Enterprise BI Server on the second day.

Designing, Tuning, and Maintaining SAS® OLAP CubesThis course teaches students how to use the SAS OLAP envi-ronment to build, tune, and maintain multidimensional cubes.

Learn how to access requirements and examine options for building efficient OLAP cubes, create and set security on SAS OLAP cubes, extend the functionality of the cube using both wizards and the Multidimensional Expressions(MDX) language, tune a SAS OLAP cube and perform cube mainte-nance, and use an OLAP cube in reporting applications.

SAS® Certified BI Content Developer for SAS® 9 CredentialFå bevis på dina nyvunna kunskaper inom SAS Business IntelligenceVill du veta mer, kontakta oss på:[email protected]

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SAS® Business Intelligence

Creating Reports on Windows and Web with SAS®-Add In for Microsoft Office and SAS® Web Report StudioSAS® Business Intelligence Reporting 1: EssentialsThis course teaches how to access reports and analyze data using several of the business user applications in the platform for SAS Business Analytics with focus on SAS Web Report Stu-dio and SAS-Add In for Microsoft Office.

Learn how to identify the various types of reports, work with SAS analyses, interact with multidimensional data, access SAS data sources, and create reporting presentations.

BI 1: Programming and Integrating SAS® BI Clients Creating Business Intelligence for Your Organization 1: EssentialsThis course teaches how to build reports, analyses, SAS Infor-mation Maps, SAS Stored Processes and dashboards for con-sumption by business users and other information consumers in your organization.

Learn how to use the business user applications in the platform for SAS Business Analytics, build SAS Information Maps, SAS Stored Processes, and SAS BI Dashboards, consolidate infor-mation into a business reporting application, examine the types of metadata created in the platform for SAS Business Analytics, and create multidimensional data sources.

BI 2: Maintaining, Automating and Optimizing SAS® Business Intelligence ClientsCreating Business Intelligence for Your Organization 2: Additional TopicsThis course expands on the knowledge learned in the BI 1: Programming and Integrating SAS® BI Clients course and pro-vides advanced techniques for building SAS Information Maps, SAS Reports, SAS Stored Processes, and SAS BI Dashboards.

Learn how to create and exploit dynamic value selection, build advanced information maps using SAS Information Map Studio, generate and update information maps programmati-cally, build, schedule, and distribute advanced reports, produce advanced stored processes able to create dynamic data sources, and build advanced SAS BI Dashboard applications.

Enhancements in SAS® Data Integration Studio 4.2 and SAS® Enterprise BI Server 4.2/4.3This course is for data integration and BI developers who want to learn about enhancements and new features in SAS Data Integration Studio 4.2 and SAS Enterprise Business Intelli-gence Server 4.2. We cover SAS Data Integration Studio the first day and SAS Enterprise BI Server on the second day.

Designing, Tuning, and Maintaining SAS® OLAP CubesThis course teaches students how to use the SAS OLAP envi-ronment to build, tune, and maintain multidimensional cubes.

Learn how to access requirements and examine options for building efficient OLAP cubes, create and set security on SAS OLAP cubes, extend the functionality of the cube using both wizards and the Multidimensional Expressions(MDX) language, tune a SAS OLAP cube and perform cube mainte-nance, and use an OLAP cube in reporting applications.

SAS® Certified BI Content Developer for SAS® 9 CredentialFå bevis på dina nyvunna kunskaper inom SAS Business IntelligenceVill du veta mer, kontakta oss på:[email protected]

SAS® Certified BI Content Developer for SAS® 9 CredentialThis credential is designed for those SAS users who are responsible for building, implementing, and customizing SAS interface applications.

Creating Reports on Windows and Web with SAS®-Add In forMicrosoft Office and SAS® Web Report StudioSAS® Business Intelligence Reporting 1: EssentialsThis course teaches how to access reports and analyze data using several of the business user applications in the platform for SAS Business Analytics with focus on SAS Web Report Studio and SAS-Add In for Microsoft Office.Learn how to identify the various types of reports, work with SAS analyses, interact with multidimensional data, access SAS data sources, and create reporting presentations.

BI 1: Programming and Integrating SAS® BI ClientsCreating Business Intelligence for YourOrganization 1: EssentialsThis course teaches how to build reports, analyses, SAS Informa-tion Maps, SAS Stored Processes and dashboards for consump-tion by business users and other information consumers in your organization.

Learn how to use the business user applications in the platform for SAS Business Analytics, build SAS Information Maps, SAS Stored Processes, and SAS BI Dashboards, consolidate informa-tion into a business reporting application, examine the types of metadata created in the platform for SAS Business Analytics, and create multidimensional data sources.

BI 2: Maintaining, Automating and Optimizing SAS® BusinessIntelligence ClientsCreating Business Intelligence forYour Organization 2: Additional TopicsThis course expands on the knowledge learned in the BI 1: Pro-gramming and Integrating SAS® BI Clients course and providesadvanced techniques for building SAS Information Maps, SAS Reports, SAS Stored Processes, and SAS BI Dashboards.

Learn how to create and exploit dynamic value selection, build advanced information maps using SAS Information Map Studio, generate and update information maps programmatically, build, schedule, and distribute advanced reports, produce advanced stored processes able to create dynamic data sources, and build advanced SAS BI Dashboard applications.

Creating Business Intelligence for Your Organization: Fast TrackThis course is a condenced 4-day version of the two courses ‘Creating Business Intelligence for Your Organization 1: Essen-tials’ and ‘Creating Business Intelligence for Your Organization 2: Additional Topics’.

Enhancements in SAS® Data Integration Studio 4.2and SAS® Enterprise BI Server 4.2/4.3This course is for data integration and BI developers who wantto learn about enhancements and new features in SAS Data In-tegration Studio 4.2 and SAS Enterprise Business Intelligence Server 4.2. We cover SAS Data Integration Studio the first day and SAS Enterprise BI Server on the second day. Designing, Tuning, and Maintaining SAS® OLAP CubesThis course teaches students how to use the SAS OLAP envi-ronment to build, tune, and maintain multidimensional cubes. Learn how to access requirements and examine options for build-ing efficient OLAP cubes, create and set security on SAS OLAP cubes, extend the functionality of the cube using both wizards and the Multidimensional Expressions(MDX) language, tune a SAS OLAP cube and perform cube maintenance,

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SAS® Platform Administration

Enhancements in SAS® Platform Administration for SAS® 9.2This course focuses on new functionality in SAS Manage-ment Console 4.2 based on the platform for SAS Business Analytics 9.2.

During the course you will be solving a multitude of practical exercises in order to get acquainted with new administrative tasks.

SAS® Platform Administration: Fast TrackThis intensive training course provides accelerated learning for those students who will administer the platform for SAS Business Analytics. This course is for individuals who are comfortable with learning large amounts of information in a short period of time.

During the course you will be solving a multitude of exercises where you will troubleshoot your own setup of servers, users and security. For every topic in the list below there is a corre-sponding practical exercise portraying realistic administrative tasks at the workplace.

Learn how to administer and troubleshoot the SAS environ-ment, backup and restore the SAS environment, design and set up metadata security according to best practice, monitor, log and create SAS servers, administer client applications and connection profiles, administer users, groups, roles and auto-matic loads, administer data access to SAS tables, databases etc., move and promote metadata between environments.

SAS® Certified Platform Administrator for SAS® 9 CredentialFå bevis på dina nyvunna kunskaper inom SAS Platform Administration genom att certifiera dig.


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SAS® Platform Administration

Enhancements in SAS® Platform Administration for SAS® 9.2This course focuses on new functionality in SAS Manage-ment Console 4.2 based on the platform for SAS Business Analytics 9.2.

During the course you will be solving a multitude of practical exercises in order to get acquainted with new administrative tasks.


During the course you will be solving a multitude of exercises where you will troubleshoot your own setup of servers, users and security. For every topic in the list below there is a corre-sponding practical exercise portraying realistic administrative tasks at the workplace.

Learn how to administer and troubleshoot the SAS environ-ment, backup and restore the SAS environment, design and set up metadata security according to best practice, monitor, log and create SAS servers, administer client applications and connection profiles, administer users, groups, roles and auto-matic loads, administer data access to SAS tables, databases etc., move and promote metadata between environments.

SAS® Certified Platform Administrator for SAS® 9 CredentialFå bevis på dina nyvunna kunskaper inom SAS Platform Administration genom att certifiera dig.


SAS® Certified Platform Administrator 9 CredentialThis credential is designed for those IT administrators responsible for administering and maintaining the platform for SAS Business Analytics


During the course you will be solving a multitude of exercises where you will troubleshoot your own setup of servers, users and security. For every topic in the list below there is a correspondingpractical exercise portraying realistic administrative tasks at the workplace.

Learn how to administer and troubleshoot the SAS environment,backup and restore the SAS environment, design and set up meta-data security according to best practice, monitor, log and create SAS servers, administer client applications and connection pro-files, administer users, groups, roles and automatic loads, admin-ister data access to SAS tables, databases etc., move and promote metadata between environments.

SAS® Platform Administration 1: Essentials This course is designed for those who will be involved in admin-istering users, servers, and applications using SAS Management Console and covers particular content from the Fast Track-course in a 2-3 days version.

Enhancements in SAS® Platform Administration for SAS® 9.2This course focuses on new functionality in SAS Management Console 4.2 based on the platform for SAS Business Analytics 9.2.

During the course you will be solving a multitude of practical ex-ercises in order to get acquainted with new administrative tasks.

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Statistik och analys

Predictive Modeling Using Logistic RegressionThis course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables, assessing models, treating missing values, and using efficiency techniques for massive data sets.

Learn how to use logistic regression to model an individual’s behavior as a function of known inputs, create effect plots and odds ratio plots using ODS Statistical Graphics, handle missing data values, tackle multicollinearity in your predic-tors, and assess model performance and compare models.

Mixed Models Analyses Using SAS®

This course teaches you how to analyze linear mixed models using PROC MIXED. A brief introduction to analyzing generalized linear mixed models using PROC GLIMMIX is also included.

Learn how to analyze data (including binary data) with random effects, fit random coefficient models and hierarchical linear models, analyze repeated measures data, obtain and interpret the best linear unbiased predictions, perform residual and influ-ence diagnostic analysis, and deal with convergence issues.

Building and Solving Optimization Models with SAS/OR®

This course focuses on formulating and solving mathematical optimization using the OPTMODEL procedure, from input-ting data to interpreting output and generating reports. The course covers linear, integer, mixed-integer, and nonlinear programming problems, with an emphasis on model formula-tion and construction.

Learn how to formulate and solve linear programming problems using the OPTMODEL procedure, solve integer and mixed-integer programming problems using the OPT-MODEL procedure, and solve nonlinear programming problems using the OPTMODEL procedure.

Statistics 1: Introduction to ANOVA, Regression, and Logistic RegressionThis course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t-tests, ANOVA, linear regression and logistic regression. This course (or equivalent knowledge) is a prerequisite to many of the courses in the statistical analysis curriculum.

Learn how to generate descriptive statistics, perform analysis of variance, perform linear regression, use regression model selection techniques to aid in the choice of predictor variables in multiple regression, use diagnostic statistics to assess statis-tical assumptions and identify potential outliers in multiple regression, use chi-square statistics to detect associations among categorical variables, and fit a multiple logistic regres-sion model.

Statistics 2: ANOVA and RegressionThis course teaches you how to analyze continuous response data and discrete count data. Linear regression, Poisson regression, negative binomial regression, gamma regression, analysis of variance, linear regression with indicator variables, analysis of covariance, and mixed models ANOVA are pre-sented in the course.

Learn also how to use the ODS Graphics facility and the new SG graphical procedures in SAS 9.2.

Introduction to Programming with SAS/IML® SoftwareThis course teaches you how to use the IML procedure via the programming language. You will benefit from this course if you plan to use SAS/IML for matrix manipulations or if you plan to use it to implement statistical, econometric, or opera-tions research methods.

Learn how to explicitly assign values to a new matrix, create a matrix from a SAS data set and create a data set from a matrix, use matrix operators and functions in assignment statements, use IML commands to control the programming environment, use subscript operators to summarize and sub-set matrices, use iterative and conditional processing to con-trol program flow, and write, store, and retrieve IML modules.

Statistics & Analysis

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Data mining

Data Mining Techniques: Theory and PracticeInstructor: Gordon S. Linoff, founder of Data Miners, Inc. and co-author of Data Mining Techniques and Mastering Data Mining, US.This course introduces a data mining methodology that is a superset to the SAS SEMMA methodology around which SAS Enterprise Miner is organized. The course also intro-duces a wide range of data mining algorithms and both theo-retical knowledge and practical skills.

In this class, you work through all the steps of a data mining project, beginning with problem definition and data selection, and continuing through data exploration, data transforma-tion, sampling, portioning, modeling, and assessment.

Advanced Analytics for Customer Intelligence Using SAS®

Instructor: Bart Baesens, Ph.D., assistant professor at the School of Management of the University of Southampton, UK.This advanced, highly interactive course will clarify how you can adopt state-of-the-art data mining techniques for com-plex customer intelligence applications. You will receive a sound mix of both theoretical and technical insights as well as practical implementation details, illustrated by several real-life cases.

Applied Analytics Using SAS® Enterprise Miner™This course covers the skills required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association, and sequence analyses) and predictive modeling (decision tree, regression, and neural network models).

Learn how to define a SAS Enterprise Miner project and explore data graphically, modify data for better analysis results, build and understand predictive models such as decision trees and regression models, compare and explain complex models, generate and use score code, apply association and sequence discovery to transaction data, use other modeling tools such as rule induction, gradiant boosting, and support vector machines.

Advanced Predictive Modeling Using SAS® Enterprise Miner™This course teaches you how to optimize the performance of predictive models beyond the basics. The course continues the development of predictive models that begins in the Applied Analytics Using SAS Enterprise Miner course.

Learn how to use advanced techniques for input selection and model assessment, construct and evaluate two-stage and multi-stage models using SAS Enterprise Miner, and evaluate variability in model predictive performance.

SAS® Certified Predictive Modeler Using SAS® Enterprise Miner™ 5 Credential Få bevis på dina nyvunna kunskaper inom SAS Enter-prise Miner genom att certifiera dig.


Data Mining

SAS® Certified Predictive Modeler using SAS® Enterprise Miner 5 or 6 CredentialThis credential is designed for SAS Enterprise Miner users who perform predictive analytics.

Data Mining Techniques: Theory and PracticeInstructor: Gordon S. Linoff, founder of Data Miners, Inc. and co-author of Data Mining Techniques and Mastering Data Mining, US.This course introduces a data mining methodology that is a superset to the SAS SEMMA methodology around which SAS Enterprise Miner is organized. The course also introduces a wide range of data mining algorithms and both theoretical knowledge and practical skills. In this class, you work through all the steps of a data mining project, beginning with problem definition and data selection, and continuing through data exploration, data transformation, sampling, portioning, modeling, and assessment.

Advanced Analytics for Customer Intelligence Using SAS®

Instructor: Bart Baesens, Ph.D., assistant professor at theSchool of Management of the University of Southampton, UK.This advanced, highly interactive course will clarify how you can adopt state-of-the-art data mining techniques for complex customer intelligence applications. You will receive a sound mix of both theo-retical and technical insights as well as practical implementation details, illustrated by several reallife cases.

Applied Analytics Using SAS® Enterprise Miner™This course covers the skills required to assemble analysis flow dia-grams using the rich tool set of SAS Enterprise Miner for both pat-tern discovery (segmentation, association, and sequence analyses) and predictive modeling (decision tree, regression, and neural net-work models). Learn how to define a SAS Enterprise Miner project and explore data graphically, modify data for better analysis results,build and understand predictive models such as decision trees and regression models, compare and explain complex models, generate and use score code, apply association and sequence discovery to transaction data, use other modeling tools such as rule induction, gradiant boosting, and support vector machines.

Advanced Predictive Modeling Using SAS® Enterprise Miner™This course teaches you how to optimize the performance of pre-dictive models beyond the basics. The course continues the devel-opment of predictive models that begins in the Applied Analytics Using SAS Enterprise Miner course. Learn how to use advanced techniques for input selection and model assessment, construct and evaluate two-stage and multi-stage models using SAS Enterprise Miner, and evaluate variability in model predictive performance.

Managing SAS® Analytical Models Using SAS® Model ManagerThis course focuses on the following key areas: managing SAS Mod-

el Manager data sources, creating a SAS Model Manager project, importing models into SAS Model Manager, using the SAS Model Manager Query Utility, creating scoring tasks, exporting models and projects into a SAS repository, and creating and configuring version life cycles. The course also covers generating SAS Model Manager model comparison reports, publishing and deploying SAS Model Manager models, creating SAS Model Manager production model monitoring reports, and creating user-defined reports.

Mining Textual Data Using SAS® Text Miner for SAS® 9 This course covers the functionality of SAS Text Miner software, which is a separately licensed component available for SAS En-terprise Miner. Learn how to process and prepare textual data for analysis, convert unstructured character data into structured numeric data, explore phrases in a document collection and group documents using similarity measures, find documents most closely associated with a word or phrase, and words or phrases most closely associated with a document, and use textual data to improve predictive models.

Net Lift Models: Optimizing the Impact of Your Marketing EffortsInstructor: Kim Larsen, director in the Advanced Analyticsgroup at Charles Schwab & Co., USA.The true effectiveness of a marketing campaign is not the response rate. It is the “incremental” impact. That is, additional revenue di-rectly attributable to the campaign that would not otherwise have been generated. The problem is that targeting strategies often are not designed to maximize the incremental impact. Typical targeting models are successful at finding clients that are interested in the product, but too often these clients would have bought the prod-uct regardless of whether they received a promotion. In such cases, the incremental impact is insignificant and marketing dollars could have been spent elsewhere. Net Models are designed to maximize incremental impact (that is, the “net lift” over the control group) by targeting the undecided clients that can be motivated by marketing.

Building Analytic Data MartsInstructor: Gerhard Svolba, Ph.D, author, product managerat SAS Institute in Austria.This course teaches the ecosystem for analytic data preparation, as well as the most commonly used data structures and their adequacy for certain analytic business questions. You receive a guideline for how to approach the creation of important derived variables and learn tips and tricks for efficient SAS programming for the creation of analytic data marts.

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Forecasting

Using SAS® High-Performance Forecasting SoftwareThis course teaches you how to make accurate forecasts quickly and automatically using the SAS Forecast Server pro-cedures, giving you the power to confidently plan your busi-ness operations.

Learn how to process time series data, automate the large-scale forecasting process, add custom models and selection lists to a model repository, create event variables to use as inputs to forecast models, and produce, assess, and modify forecasts.

Forecasting Using SAS® Forecast Server softwareThis course prepares you to generate large volumes of fore-casts automatically using the SAS Forecast Studio interactive interface.

Learn how to automatically create and fit custom forecast models to large-scale time series data sets, identify series that do not have acceptable forecast accuracy, refine forecast models to improve forecast accuracy, reconcile hierarchical forecasts, produce reports using stored processes, generate forecast data sets for deployment, and accommodate data updates in large-scale time series data sets.

Forecasting Using SAS® Software: A Programming ApproachThis course teaches analysts how to use SAS/ETS software to create forecasting models, evaluate the model for accuracy, and forecast future values using the model.

Learn how to build simple forecast models, build advanced forecast models for auto correlated time series and for time series with trend and seasonality, and build forecast models that contain explanatory variables.

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JMP® Software: Data ExplorationThis course is designed as the first step for those who want to use JMP to manage, analyze, and explore data.

Learn how to navigate the JMP interface, manage data effec-tively in JMP, explore data by using JMP software’s extensive graphical capabilities, and create and manage reports in JMP.

JMP® Software: ANOVA and RegressionThis course teaches how to analyze data with a single continuous response variable using analysis of variance and regression methods. You learn how to perform elementary exploratory data analysis (EDA) and discover natural patterns in data. Important statistical concepts such as confidence intervals are also introduced.

Learn how to compare two means using a t-test, generate and interpret an analysis of variance to compare more than two means, analyze relationships between continuous variables using simple and multiple linear regression models, perform an analysis of covariance to incorporate continuous and categorical predictors, and evaluate assumptions in statistical hypothesis testing.

JMP® Software: Introduction to the JMP® Scripting LanguageThis course demonstrates how to extend JMP software’s functionality using the JMP Scripting Language (JSL) to automate routine procedures, extend or create new proce-dures, and customize reports.

Learn how to use the basic elements in JSL, use messages, functions, and expressions to create new data tables and columns, control analyses, and capture or modify reports, create and use dialogs to adapt script behavior, and save JMP scripts as custom menu or toolbar items to automate routine analyses and reporting.

JMP® Software: Classic Design of ExperimentsThis course teaches you how to design and analyze experi-ments. Designed experiments can help optimize the process response or identify the vital few factors that drive your product or process. The course emphasizes the principles of experimental design and includes screening designs and response surface designs.

Learn how to explain the fundamental principles of designed experiments, generate and analyze full factorial, fractional factorial, split-plot, and screening designs, including designs with blocking factors, create and analyze classic response surface designs, and use the custom design tool.

JMP® software

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SAS® certification

SAS® Certified Predictive Modeler using SAS® Enterprise Miner™ 5 or 6 Credential

A candidate for this exam should have the ability to:

� Prepare data � Build predictive models � Assess models � Score new data sets � Implement models.

During this performance-based examination, candidates will use SAS Enterprise Miner to perform the examination tasks. It is essential that the candidate have a firm understanding and mastery of the functionalities for predictive modeling available in SAS Enterprise Miner 5 or 6. Candidates for this examination can elect to complete this examination using the SAS Enterprise Miner 5.2, 5.3, or 6.1 interface.

The recommended preparation for this exam is Applied Ana-lytics Using SAS Enterprise Miner Course (these are available in the training centers as well as Live Web and e-Learning)

SAS certification is a global credential for showing broad knowledge in SAS Software.In the Analytic area you have a possibility to test your Mining knowledge.

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SAS® certification

SAS® Certified Predictive Modeler using SAS® Enterprise Miner™ 5 or 6 Credential

A candidate for this exam should have the ability to:

� Prepare data � Build predictive models � Assess models � Score new data sets � Implement models.

During this performance-based examination, candidates will use SAS Enterprise Miner to perform the examination tasks. It is essential that the candidate have a firm understanding and mastery of the functionalities for predictive modeling available in SAS Enterprise Miner 5 or 6. Candidates for this examination can elect to complete this examination using the SAS Enterprise Miner 5.2, 5.3, or 6.1 interface.

The recommended preparation for this exam is Applied Ana-lytics Using SAS Enterprise Miner Course (these are available in the training centers as well as Live Web and e-Learning)

SAS certification is a global credential for showing broad knowledge in SAS Software.In the Analytic area you have a possibility to test your Mining knowledge.

The SAS Certified Base Programmer for SAS 9 credential is the ideal certification for those relatively new to SAS programming or new to SAS certification. It is also the principle certification for other advanced certifications available from SAS. Candidates should be familiar with the enhancements and new functionality that are available in SAS 9.2.

Successful candidates should have experience in programming and data management using SAS 9 and should be able to: ■ import and export raw data files ■ manipulate and transform data ■ combine SAS data sets ■ create basic detail and summary reports using SAS procedures ■ identify and correct data, syntax and programming logic errors. To earn this credential you must pass the SAS Base Programming for SAS 9 Exam.

The SAS Certified Advanced Programmer for SAS 9 credential represents the upper echelon of SAS programmers. Those who earn the advanced programming credential have demonstrated a high level of proficiency in SAS programming expertise and are a much sought after commodity in the global job market.

A SAS advanced programmer should have current SAS program-ming and data management experience. Successful candidates should be skilled in tasks such as using advanced DATA step pro-gramming statements and efficiency techniques to solve complex problems ■ writing and interpreting SAS SQL code ■ creating and using the SAS MACRO facility. Candidates for the SAS Advanced Programmer for SAS 9 exam should be familiar with enhancements and new functionality that are available in SAS 9.2. The candidate must currently hold a SAS Certified Base Programmer for SAS 9 credential.

SAS® Certified Platform Administrator 9 CredentialThis credential is designed for those IT administrators responsiblefor installing, configuring, administering and maintaining the plat-form for SAS Business Analytics.

Preparation for the SAS Platform Administration 9.2 exam is based on the SAS Platform Administration Fast Track course.

SAS® Certified Data Integration Developer for SAS® 9 CredentialThe SAS Data Integration Development for SAS 9 exam will test the candidate’s ability to apply the skills and knowledge neces-sary for Data Integration Development in the SAS environment The recommended preparation for the SAS Data Integration De-velopment for SAS 9 exam will be the SAS Data Integration Stu-dio Fast Track course.

SAS® Certified BI Content Developer for SAS® 9 CredentialThe SAS Certified Business Intelligence Developer for SAS 9 credential will test the candidate’s ability to apply the skills and knowledge necessary to create reports and conduct analyses in the SAS platform for Business Analytics environment.

The recommended preparation for the SAS Business IntelligenceContent Development exam is Creating Business Intelligence for Your Organization: Fast Track course

SAS® Certified Predictive Modeler using SAS® EnterpriseMiner™ 5 or 6 CredentialA candidate for this exam should have the ability to:

■ Prepare data■ Build predictive models■ Assess models■ Score new data sets■ Implement models.

During this performance-based examination, candidates will use SAS Enterprise Miner to perform the examination tasks.It is essential that the candidate have a firm understanding and mastery of the functionalities for predictive modeling available in SAS Enterprise Miner 5 or 6. Candidates for this examination can elect to complete this examination using the SAS Enterprise Miner 5.2, 5.3, or 6.1 interface.The recommended preparation for this exam is Applied AnalyticsUsing SAS Enterprise Miner Course (these are available in the training centers as well as Live Web and e-Learning)

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Registration Information

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Ragnhild Skuland


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Your SAS Education Account Representatives


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