SAS Education Providing knowledge through global training and certification

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1 Kursöversikt 2010 SAS Education Providing knowledge through global training and certification SAS Education Foundation Providing knowledge through global training and certification SAS Forum 2010 och specialkurser SAS Master Class FOR UP-TO-THE-MINUTE DATES PLEASE REFER TO: Denmark: Kontaktinformation Norway: Stora Frösunda Gård Box SOLNA (Stockholm) July-December SAS Enterprise Guide SAS -programmering Scandinavia Rapportering och grafer Course SAS avancerad Schedule programmering Sweden: Telefon

2 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

3 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 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 3

4 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 4

5 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

6 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 Enhancements in SAS Data Integration Studio 4.2 and SAS Enterprise BI Server 4.2/4.3 Oslo 30 Aug 4 Nov 06 Dec 2 days Enhancements in SAS Data Integration Studio 4.2 and 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

7 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

8 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

9 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 days 9

10 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 10

11 SAS Enterprise Guide SAS Enterprise Guide 1: Querying and Reporting This 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 programming code using SAS Enterprise Guide, this course does not teach the SAS programming language. SAS Enterprise Guide 2: Advanced Tasks end Quering This 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 manipulating character, numeric, and date values; converting variable type; and building conditional expressions using the Expression Builder. This course also addresses efficiency issues, such as joining tables and using a single query to group, summarize, and filter data. 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 to fit a multiple logistic regression model. SAS Programming Essentials for Experienced SAS Enterprise Guide Users This course is for experienced SAS Enterprise Guide users who want to gain extra value from the product by understanding the code that it generates and methods of enhancing that code. The course will serve as a transition into the programming world of SAS and serves as a prerequisite for the SAS Programming 2: Data Manipulation Techniques course. 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 introduction 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. 4 11

12 SAS -Programming SAS Programming 1: Essentials This 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 Techniques This 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 Programmers This 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: Essentials This 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: Essentials This 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, conditionally or iteratively construct SAS code, and use macro variables and macro functions. SAS Certified Base Programmer for for SAS 9 9 Credential This Få bevis credential på dina is designed nyvunna for kunskaper programmers, inom analysts, Base SAS data - managers programmering or anyone genom writing att SAS certifiera programs dig. to access and manage data to perform queries and analyses. This and the SAS Certified Vill du veta Advanced mer, kontakta Programmer oss på: for SAS 9 credentials are kurser@swe.sas.com appropriate as foundation knowledge for many other job roles. 5 12

13 Reporting & Graphics SAS Report Writing 1: Using Procedures and ODS This course teaches you how to create detailed tabular, summary, and listing reports. You will learn how to use PROC REPORT to generate tabular 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 2: ODS and Graph Template Language This course covers ODS Statistical Graphics in SAS 9.2, statistical 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. SAS/GRAPH 1: Essentials This course teaches you how to produce high-quality presentation graphics using SAS/GRAPH software. You will learn how to design graphs that describe their data in the most appropriate fashion, customize default graph elements such as axes and legends, apply annotations that supplement the features available with SAS/GRAPH procedures, and deliver graphs in multiple formats, such as static image files and client-generated images. 6 13

14 SAS Advanced Programming SAS Programming 3: Advanced Techniques and Efficiencies This 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 situation. 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 9.2 During 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 processing and debugging, enhancements in SQL, hash object, linguistic sorting, and the SAS Macro Facility, and enhancements to ODS and graphics. SAS Macro Language 2: Developing Macro Applications This course is designed for experienced SAS macro programmers who want to learn to develop and use macro applications. 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 process data, and pass and process macro parameters. SAS Certified Advanced Programmer for SAS 9 9 Credential This Få bevis credential på dina is the nyvunna next level kunskaper for SAS inom Base Programmer Base SAS - for SAS programmering 9 certified professionals. genom att certifiera This and dig. the Base Programmer credentials are appropriate as foundation knowledge for many other Vill du job veta roles mer, kontakta oss på: kurser@swe.sas.com 7 14

15 SAS Data Integration SAS Data Integration Studio 1: 1: Essentials This course introduces SAS SAS Data Data Integration Integration Studio Studio and includes and includes topics for topics registering for registering sources and sources targets; and creating targets; and creating working and with working jobs; and with working jobs; with and transformations. working with transformations. Learn how to to register source data data and and target target tables, tables, create create jobs jobs and explore and explore the functionality the functionality of the Job of Editor, the Job work Editor, with work many with of the many various of transformations, the various build transformations, a SAS OLAP build cube and a SAS OLAP Information cube Map. and SAS Information Map. SAS Data Integration Studio 2: 2: Additional Topics This course expands on on the the knowledge knowledge learned learned in SAS in SAS Data Data Inte- Integration Studio Studio 1: Essentials 1: Essentials and provides and additional provides information additional information on setting up on change setting management, up change working management, with slowly working changing with slowly changing dimensions, as well as status handling and change dimensions, data as capture. well as status handling and change data capture. Learn how to set up change management, enhance table relation- Learn ships using how integrity to set up constraints, change management, key, and indexes, enhance work table with relationships using integrity constraints, key, and indexes, work slowly with changing slowly dimensions, changing dimensions, create custom create transformations custom transformations the Transformation with the Generator Transformation Wizard, and Generator administer Wizard, SAS Data and administer Integration Studio. SAS Data Integration Studio. SAS with SAS Data Data Integration Integration Studio: Studio: ETL Fast Development Track with Star Schemes The This aim course of is this a condenced course is to 4-day learn version how to of develop the two courses star schemes SAS and Data use Integration them for Studio data warehouse 1: Essentials development. and SAS Data Integration Studio 2: Additional Topics You will learn the basic principles concerning data modeling and Data star Integration schemes. Architecture You will also and learn Design how to form, use and update This course star schemes. introduces The data course integration is an architecture extension of concepts the topics in- presented cluding modeling; SAS understanding Data Integration the different Studio types 1: Essentials. of data sources; and designing the process of creating and using data warehouse Accessing information. Data in the SAS Scalable Performance Data Server This course introduces the SAS Scalable Performance Data Server SAS Data and Integration provides Studio: hands-on ETL Development experience with accessing Star Schemes and creating The aim of SPD this Server course data is to learn from how SAS. to develop star schemes and use them for data warehouse development. Learn how to use the SPD Server LIBNAME engine, use the You SPD will learn Server the SQL basic pass principles through concerning facility, data write modeling SAS code and to star optimize schemes. the You utilization will also learn of SPD how Server to form, resources, use and update use SAS star Enterprise schemes. The Guide course to access is an extension SPD Server of the data. topics presented in SAS Data Integration Studio 1: Essentials Accessing Enhancements Data in the SAS SAS Data Scalable integration Performance Studio 4.2 Data Server This and SAS course Enterprise introduces BI the Server SAS Scalable 4.2/4.3Performance Data Server and This provides course is hands-on for data integration experience and accessing BI developers and creating who want SPD Server to learn data about from enhancements SAS. and new features in SAS Data Integration Studio 4.2 and SAS Enterprise Business Intelligence how Server to use 4.2. the We SPD cover Server SAS LIBNAME Data Integration engine, use Studio the SPD the Learn Server first day SQL and pass SAS through Enterprise facility, BI write Server SAS on the code second to optimize day. the utilization of SPD Server resources, use SAS Enterprise Guide to access DataFlux SPD dfpower Server data. Studio This course is designed for data quality stewards who need to Enhancements learn DataFlux in dfpower SAS Data Studio. integration Studio 4.2 and SAS Enterprise BI Server 4.2/4.3 This Learn course how to is for profile data data, integration improve and data BI developers by applying who various want to data learn cleansing about enhancements techniques, by and integration new features and in by SAS address Data verification, control the data cleansing cycle by using trend Integration analysis and Studio business 4.2 rules and SAS monitoring, Enterprise set Business up batch Intelligence schedules, Server define 4.2. and We use cover macro SAS variables, Data Integration and define Studio and the use first custom day and metrics. SAS Enterprise BI Server on the second day. DataFlux dfpower Customize: dfpower Studio Understanding the Quality This Knowledge course Base is designed for data quality stewards who need to learn The objective DataFlux dfpower of this Studio. course is to provide the participant with a fundamental understanding of how to properly apply Learn dfpower how Studio to profile and data, use dfpower improve Customize data by applying to benefit various all data data cleansing quality and techniques, data integration by integration initiatives. 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 Certified Data Integration Developer for SAS 9 Credential Få bevis på dina nyvunna kunskaper inom SAS Data SAS Integration Certified genom Data Integration att certifiera Developer dig. for SAS 9 Credential The SAS Data Integration Development for SAS 9 exam will test Vill the du candidate s veta mer, kontakta ability to oss apply på: the skills and knowledge kurser@swe.sas.com necessary for Data Integration Development in the SAS environment.

16 SAS Business Intelligence Creating Reports on Windows and Web with SAS -Add In In for for Microsoft Office and SAS Web Report Studio SAS Business Intelligence Reporting 1: 1: Essentials This course teaches how how to to access access reports reports and and analyze analyze data using data using several several of the of business the business user applications user applications in the platform in the platform SAS for Business SAS Business Analytics Analytics with focus with on focus SAS on Web SAS Report Web Report Studio Studio and SAS-Add In for Microsoft Office. and SAS-Add In for Microsoft Office. Learn how to to identify identify the the various various types types of reports, of reports, work work with with SAS SAS analyses, analyses, interact interact with with multidimensional multidimensional data, data, access access SAS SAS data data sources, sources, and create and create reporting reporting presentations. presentations. BI BI 1: 1: Programming and and Integrating SAS SAS BI BI Clients Clients Creating Business Intelligence for for Your Organization 1: Essentials This course teaches how to to build reports, analyses, SAS SAS Informa- Information Maps, Maps, SAS SAS Stored Stored Processes Processes and and dashboards dashboards for consump- for consumption by business by business users users and other and information other information consumers consumers in your in organization. your organization. Learn how to use the business user applications in in the platform for SAS Business Analytics, build SAS SAS Information Maps, SAS Stored Processes, and SAS SAS BI BI Dashboards, Dashboards, consolidate consolidate informa- informatiotion into into a business a business reporting reporting application, application, examine examine the the types types of of metadata created in the platform for SAS Business Analytics, and metadata create created multidimensional in the platform data for sources. SAS Business Analytics, and create multidimensional data sources. BI BI 2: 2: Maintaining, Maintaining, Automating Automating and and Optimizing Optimizing SAS SAS Business Intelligence Clients Business Creating Intelligence Business Clients Intelligence for Your Creating Organization Business Intelligence 2: Additional for Topics This Your course Organization expands 2: Additional the knowledge Topics learned in the BI 1: Programming This course expands Integrating on the knowledge SAS BI learned Clients course in the BI and 1: providegramming advanced and Integrating techniques SAS for building BI Clients SAS course Information and provides Maps, SAS advanced Reports, techniques SAS Stored for building Processes, SAS and Information SAS BI Dashboards. Maps, SAS Pro- Reports, SAS Stored Processes, and SAS BI Dashboards. Learn how to create and exploit dynamic value selection, build advanced information maps maps using using SAS SAS Information Information Map Studio, Map Studio, generate generate and update and information update information maps programmatically, maps programmatically, schedule, build, and schedule, distribute and advanced distribute advanced reports, produce reports, advanced produce advanced stored processes stored processes able to create able dynamic to create data dynamic sources, data and sources, build and build, advanced build advanced SAS BI Dashboard SAS BI Dashboard applications. applications. Enhancements in SAS Data Integration Studio 4.2 and Creating SAS Business Enterprise Intelligence BI Server for 4.2/4.3 Your Organization: Fast Track This course is is for a data condenced integration 4-day and version BI developers of the two who courses want to Creating learn about Business enhancements Intelligence and for Your new features Organization in SAS 1: Essen- Data Integration tials and Creating Studio Business 4.2 and SAS Intelligence Enterprise for Your Business Organization Intelligence 2: Additional Server Topics We cover SAS Data Integration Studio the first day and SAS Enterprise BI Server on the second day. Enhancements in SAS Data Integration Studio 4.2 Designing, and SAS Enterprise Tuning, and BI Server Maintaining 4.2/4.3 SAS OLAP Cubes This course is teaches for data students integration how and to use BI developers the SAS OLAP who want environment to learn about to build, enhancements tune, and maintain and new multidimensional features in SAS Data cubes. Integration Studio 4.2 and SAS Enterprise Business Intelligence Learn Server how 4.2. We to access cover SAS requirements Data Integration and examine Studio options the first for day building efficient OLAP cubes, create and set security on SAS and SAS OLAP Enterprise cubes, extend BI Server the on functionality the second day. of the cube using both Designing, wizards Tuning, and the and Multidimensional Maintaining SAS OLAP Expressions(MDX) Cubes language, This course tune teaches a SAS students OLAP how cube to and use perform the SAS cube OLAP maintenance, and use an OLAP cube in reporting applications. environment 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 maintenance, SAS Certified BI Content Developer for SAS 9 Credential SAS Få bevis Certified på dina BI Content nyvunna Developer kunskaper for SAS inom 9 SAS Credential Business This Intelligence credential is designed for those SAS users who are responsible Vill du veta for mer, building, kontakta implementing, oss på: and customizing SAS kurser@swe.sas.com interface applications. 5 16

17 SAS Platform Administration SAS Platform Administration: Fast Track This intensive training course provides accelerated learning for for those those students students who will who administer will administer the platform the platform SAS for Business SAS Business Analytics. Analytics. This course This for course individuals is for who individuals are comfortable who with are comfortable learning large with amounts learning of information large amounts in a short of information period of time. in a short period of time. During the course you will be solving a multitude of exercises During where you the will course troubleshoot you will be your solving own setup a multitude of servers, of exercises users and where security. you For will every troubleshoot topic in the your list below own setup there is of a corresponding servers, users and practical security. exercise For every portraying topic realistic in the list administrative below there tasks is a corresponding practical exercise portraying realistic administrative tasks at the workplace. at the workplace. Learn how to administer and troubleshoot the SAS environment, Learn backup how and restore to administer the SAS and environment, troubleshoot design the and SAS set environment, backup and restore the SAS environment, design and set up metadata up security metadata according security to according best practice, to best monitor, practice, log and monitor, create log SAS and servers, create administer SAS servers, client administer applications client and applications connection and pro- connection files, administer profiles, users, administer groups, roles users, and groups, automatic roles loads, and admin- automatiister data loads, access administer to SAS tables, data access databases to SAS etc., move tables, and databases promote etc., metadata move between and promote environments. metadata between environments. SAS Platform Administration 1: Essentials This course is designed for those who will be involved in administering 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 for SAS This course focuses on on new functionality in in SAS SAS Management Management Console Console 4.2 based 4.2 on based the platform on the for platform SAS Business for SAS Analytics Business 9.2. Analytics 9.2. During the course you will be solving a multitude of practical ex- During ercises in the order course to get you acquainted will be solving with new a multitude administrative of practical tasks. exercises in order to get acquainted with new administrative tasks. SAS Certified Platform Administrator 9 for Credential SAS 9 Credential Få This bevis credential på dina is nyvunna designed for kunskaper those IT inom administrators SAS Platform Administration responsible for administering genom att certifiera and maintaining dig. the platform for SAS Business Analytics Vill du veta mer, kontakta oss på: kurser@swe.sas.com 6 17

18 Statistik Statistics och & Analysis analys Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression This 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 statistical assumptions and identify potential outliers in multiple regression, use chi-square statistics to detect associations among categorical variables, and fit a multiple logistic regression model. Statistics 2: ANOVA and Regression This 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 presented 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 Software This 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 operations 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 subset matrices, use iterative and conditional processing to control program flow, and write, store, and retrieve IML modules. Predictive Modeling Using Logistic Regression This 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 predictors, 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 influence 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 inputting data to interpreting output and generating reports. The course covers linear, integer, mixed-integer, and nonlinear programming problems, with an emphasis on model formulation 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. 6 18

19 Data Mining Data Mining Techniques: Theory and Practice Instructor: Gordon S. Linoff, founder of Data Miners, Inc. Data Mining Techniques: Theory and Practice and co-author of Data Mining Techniques and Mastering Instructor: Gordon S. Linoff, founder of Data Miners, Inc. and coauthor Mining, of Data Mining US. Techniques and Mastering Data Mining, US. This course introduces introduces a data a data mining mining methodology methodology that is a that superset is a Data superset to the SAS to SEMMA the SAS methodology SEMMA methodology around which around SAS Enterprise which SAS Miner Enterprise organized. Miner The course is organized. also introduces The course a wide range also of introduces mining a algorithms wide range and of data both mining theoretical algorithms knowledge and and both practical theo- data retical skills. In knowledge this class, and you work practical through skills. all the steps of a data mining project, beginning with problem definition and data selection, and In continuing this class, through you work data exploration, through all data the transformation, steps of a data sampling, mining project, portioning, beginning modeling, with and problem assessment. definition and data selection, and Advanced continuing Analytics through for Customer data exploration, Intelligence Using data SAS transformation, Instructor: sampling, Bart Baesens, portioning, Ph.D., modeling, assistant and professor assessment. at the School of Management of the University of Southampton, UK. Advanced This advanced, Analytics highly for interactive Customer course Intelligence will clarify Using how SAS you can Instructor: adopt state-of-the-art Bart Baesens, data mining Ph.D., techniques assistant professor for complex at the customer School intelligence of Management applications. of You the will University receive a of sound Southampton, mix of both UK. theoretical advanced, and technical highly insights interactive as well course as practical will clarify implementation how you This can details, adopt illustrated state-of-the-art by several reallife data mining cases. techniques for complex Applied customer Analytics intelligence Using SAS Enterprise applications. Miner You will receive a sound This course mix covers of both the theoretical skills required and to technical assemble analysis insights flow as well diagrams practical using implementation the rich tool set of details, SAS Enterprise illustrated Miner by several for both real- pat- as life tern cases. 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. Managing SAS Analytical Models Using SAS Model Manager This course focuses on the following key areas: managing SAS Model 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 Applied Analytics Using SAS Enterprise Miner model comparison reports, publishing and deploying SAS Model This course covers the skills required to assemble analysis Manager models, creating SAS Model Manager production model flow monitoring diagrams reports, using and the creating rich tool user-defined set of SAS reports. Enterprise Miner for both pattern discovery (segmentation, association, and sequence Mining Textual analyses) Data Using and SAS predictive Text Miner modeling for SAS (decision 9 tree, regression, This course and covers neural the functionality network models). of SAS Text Miner software, which is a separately licensed component available for SAS Enterprise how Miner. to Learn define how a SAS to process Enterprise and prepare Miner textual project data and for Learn analysis, convert unstructured character data into structured numeric explore data graphically, modify data for better analysis results, data, explore phrases in a document collection and group documents build using and similarity understand measures, predictive find documents models most such closely as decision associated trees and with regression a word or phrase, models, and compare words or and phrases explain most complex closely associated models, generate with a document, and use and score use textual code, apply data to association improve predictive and sequence models. discovery to transaction data, use other modeling tools such as Net rule Lift Models: induction, Optimizing gradiant the Impact boosting, of Your and Marketing support Efforts vector machines. Instructor: Kim Larsen, director in the Advanced Analytics group at Charles Schwab & Co., USA. The true effectiveness of a marketing campaign is not the response Advanced Predictive Modeling Using SAS Enterprise Miner rate. It is the incremental impact. That is, additional revenue directly course attributable teaches to the you campaign how to optimize that would the not performance otherwise have of This predictive been generated. models The beyond problem the is basics. that targeting The course strategies continues often the are development not designed to of maximize predictive the models incremental that impact. begins Typical in the Applied targeting Analytics models are Using successful SAS at Enterprise finding clients Miner that course. are interested in the product, but too often these clients would have bought the product regardless how to of use whether advanced they received techniques a promotion. for input In such selection cases, Learn and the incremental model assessment, impact is construct insignificant and evaluate marketing two-stage dollars could and multi-stage have been spent models elsewhere. using SAS Net Models Enterprise are designed Miner, and to maximize evaluate variability incremental in impact model (that predictive is, the net performance. lift over the control group) by targeting the undecided clients that can be motivated by marketing. Building Analytic Data Marts Instructor: SAS Certified Gerhard Predictive Svolba, Modeler Ph.D, author, Using product SAS Enterprise manager at Miner SAS Institute 5 Credential in Austria. This Få bevis course på teaches dina nyvunna the ecosystem kunskaper for analytic inom data SAS preparation, Enterprise as Miner the most genom commonly att certifiera used data dig. structures and their adequacy as well for certain analytic business questions. You receive a guideline for how Vill to du approach veta mer, the kontakta creation oss of på: important derived variables and learn kurser@swe.sas.com tips and tricks for efficient SAS programming for the creation of analytic data marts. SAS Certified Predictive Modeler using SAS Enterprise Miner 5 or 6 Credential This credential is designed for SAS Enterprise Miner users who perform predictive analytics. 7 19

20 Forecasting Forecasting Using SAS Forecast Server software This course prepares you to generate large volumes of forecasts 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. Using SAS High-Performance Forecasting Software This course teaches you how to make accurate forecasts quickly and automatically using the SAS Forecast Server procedures, giving you the power to confidently plan your business operations. Learn how to process time series data, automate the largescale 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 Software: A Programming Approach This 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. 9 20

21 JMP software JMP Software: Data Exploration This 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 effectively in JMP, explore data by using JMP software s extensive graphical capabilities, and create and manage reports in JMP. JMP Software: ANOVA and Regression This 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 Language This course demonstrates how to extend JMP software s functionality using the JMP Scripting Language (JSL) to automate routine procedures, extend or create new procedures, 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 Experiments This course teaches you how to design and analyze experiments. 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