Coronavirus: Die Gesundheit und Sicherheit unserer Kursteilnehmer und Mitarbeiter ist uns sehr wichtig. Live von einem Trainer durchgeführte Schulungen in unseren virtuellen Live Web Klassenzimmern ersetzen derzeit die Präsenzkurse aus dem offenen Kursprogramm. Viele Kurse sind auch als selfpaced E-Learning verfügbar. Bitte beachten Sie auch unser kostenloses Trainingsangebot.



Base SAS

Kurstitel Stufe Kursformat
SAS® Programming 1: Essentials Free e-learning
This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses. 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.

2 Basiswissen Classroom Live Web Classroom e-Learning
SAS® Programming for R Users Free e-learning
This course is for experienced R users who want to apply their existing skills and extend them to the SAS environment. Emphasis is placed on programming and not statistical theory or interpretation. Students in this course should have knowledge of plotting, manipulating data, iterative processing, creating functions, applying functions, linear models, generalized linear models, mixed models, stepwise model selection, matrix algebra, and statistical simulations.

3 Für Fortgeschrittene e-Learning
SAS® SQL 1: Essentials
This course teaches you how to process SAS data using Structured Query Language (SQL).

3 Für Fortgeschrittene Classroom Live Web Classroom e-Learning
SAS® Programming 2: Data Manipulation Techniques
This course is for those who need to learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data. The course builds on the concepts that are presented in the SAS® Programming 1: Essentials course and is not recommended for beginning SAS software users.

3 Für Fortgeschrittene Classroom Live Web Classroom e-Learning
SAS® Programming 3: Advanced Techniques
This course is for SAS programmers who want to learn advanced techniques within the DATA step and procedures. The course builds on the concepts that are presented in the SAS® Programming 2: Data Manipulation Techniques course.

4 Für Experten Classroom Live Web Classroom e-Learning
SAS® Makrosprache 1: Grundlagen
Nach dem Besuch dieses Kurses kennen Sie die Funktionsweise von Makrovariablen und Makroprogrammen. Sie können Programme mit Hilfe von Makrovariablen parametrisieren und automatisieren. Sie können eigene Makroprogramme schreiben und so Ihre Programme dynamisieren. Ein Schwerpunkt des Kurses ist es, das Verständnis dafür zu bekommen wie Programme mit Makrocode vom SAS verarbeitet werden.

4 Für Experten Classroom Live Web Classroom e-Learning
Administrative Healthcare Data and SAS® Business Knowledge Series
This industry-specific course focuses on the payer side of the industry: the origin, content, management, and use of administrative healthcare data. Students will become acquainted with the providers, payers, and users of the U.S. healthcare system. This course is not a hands-on programming course, but rather, it explores the business of medical claims data, health plan members, and service providers. As a supplement to this course, programmers should consider also registering for Administrative Healthcare Data and SAS®: Hands-On Programming Workshop, a one-day course that focuses on programming methods and techniques that are useful in the healthcare industry. The two courses are offered on contiguous days.

2 Basiswissen Classroom
Administrative Healthcare Data and SAS®: Hands-On Programming Workshop Business Knowledge Series
This hands-on workshop is open to SAS programmers who attended the Administrative Healthcare Data and SAS® course. This workshop explores programming methods and techniques that are useful in the management of administrative healthcare data.

2 Basiswissen Classroom
Strategic Planning and Decision-Making: Powered by SAS® Business Knowledge Series
This course helps students learn how basic statistical techniques can be used to better inform strategic business and decision-making challenges. The focus of the course is to learn the key tools and tactics of a corporate strategist/strategic planner. However, woven into the course are key analytics, powered by SAS, that can enable strategists to be more data driven and objective in terms of options, pros/cons, recommendations, and contingency plans.

2 Basiswissen Classroom
Propensity Score Matching, Adjustment, and Randomized Experiments Business Knowledge Series
This course focuses on testing whether the results of a program can be attributed to a given cause. For example, was the increase in customer sales due to mailing of sales flyers? Was the health improvement due to the new medication? What conclusion can be drawn? The following cases are examined: randomized controlled experiments and observational studies that require adjustment to reduce bias by using propensity score analysis through either propensity score matching or propensity score adjustment.

3 Für Fortgeschrittene Classroom
Developing Custom Tasks for SAS® Enterprise Guide® Business Knowledge Series
SAS Enterprise Guide is a hugely popular application that is used by SAS programmers, SAS power users, and business analysts around the world. It does a lot, but does it do everything that you need it to do? Organizations often have a need to extend or customize their SAS Enterprise Guide environment to fit their particular industry or business processes.

3 Für Fortgeschrittene Classroom
SAS® Functions by Example Business Knowledge Series
Ever spent valuable time writing complex code only to later find a function that would have done the job for you? Discover the plethora of practical SAS functions that you haven't seen in other SAS programming courses, and start resolving your everyday programming problems more quickly and efficiently.

3 Für Fortgeschrittene Classroom
Best Practices in Cluster Analysis for Customer Relationship Management (CRM) Business Knowledge Series
This course focuses on best practices when doing cluster analysis, particularly when applied to CRM. However, the techniques presented are easily applicable to other analytic fields. Students with different backgrounds and skill levels will benefit from the course, which explores theory, practice, and application.

3 Für Fortgeschrittene Classroom
Data Cleaning Techniques Business Knowledge Series
This course, which was completely rewritten to be compatible with the third edition of the book Cody's Data Cleaning Techniques Using SAS, will help greatly speed up the process of detecting and correcting errors in both character and numeric data. In addition, there are sections on standardizing data and using Perl regular expressions to ensure that character values conform to a specific pattern (such as ZIP codes, phone numbers, and email addresses).

Although the course concentrates on methods of identifying data errors, it also teaches some programming techniques that might be new to you. For example, by using some of the latest SAS functions, you can convert a phone number in just about any form into a standard form, in only two SAS statements!

The course teaches several methods of detecting errors in numeric data including range checking as well as several methods of automatic outlier detection. There are chapters devoted to data that involves multiple observations per subject, SAS dates, and projects that include multiple data sets. The class closes with a demonstration of an innovative process that leverages integrity constraints and audit trails to detect and programmatically clean dirty data before it even gets into your analysis data set.

All students taking this class are presented with either a printed version or PDF version of the new Data Cleaning book and are given access to dozens of macros that will greatly speed up the laborious process of cleaning your data.

3 Für Fortgeschrittene Classroom Live Web Classroom
Social Network Analytics Business Knowledge Series
This course discusses how to leverage social networks for analytical purposes. Obviously, when we say "social networks," many people think of Facebook, Twitter, Google+, LinkedIn, and so on. These are all examples of networks that connect people using either friendship or professional relationships. In this course, we zoom out and provide a much more general definition of a social network. In fact, we define a social network as a network of nodes that are connected using edges. Both nodes and edges can be defined in various ways, depending on the setting. This course starts by describing the basic concepts of social networks and their applications in marketing, risk, fraud, and HR. It then defines various social metrics and illustrates how they can be used for community mining. The course also discusses how social networks can be used for predictive analytics. The course provides a sound mix of both theoretical and technical insights, as well as practical implementation details, and is illustrated by several real-life cases. The instructor extensively reports on both his research and consulting experience in the field. References to background material such as selected papers, tutorials, and guidelines are also provided.

3 Für Fortgeschrittene e-Learning
Establishing Causal Inferences: Propensity Score Matching, Heckman's Two-Stage Model, Interrupted Time Series, and Regression Discontinuity Models Business Knowledge Series
This course introduces some methods commonly used in program evaluation and real-world effectiveness studies, including two-stage modeling, interrupted time-series, regression discontinuity, and propensity score matching. These methods help address questions such as: Which medicine is more effective in the real world? Did an advertising program have an impact on sales? More generally, are the changes in outcomes causally related to the program being run?

3 Für Fortgeschrittene Classroom e-Learning
The Magic of Compelling Reports and Visualizations with SAS®

Whether you’re a SAS programmer or a SAS Visual Analytics user, we’ve hand-picked a range of topics to advance your report development and data visualisation skills. With three conference streams to choose from and sessions delivered by our expert trainers, you’ll also have the chance to get hands-on experience, gain extended access to your own SAS environment and try out the techniques you’ve seen.


Register soon and make advantage of the early bird discount of 30% which is valid until 9 October. Please use the Promotion Code LC2020.


0 Kein Level Live Web Classroom
Grundbegriffe der Statistik: eine Einführung
Dieser Kurs erläutert statistische Begriffe, die für das Verständnis und die Benutzung statistischer Methoden von zentraler Bedeutung sind. In diesem Kurs wird erklärt, was Statistik ist und warum es wichtig ist, die unterschiedliche Merkmale der Daten zu verstehen.

Das Wissen, das in diesem Kurs vermittelt wird, ist eine Voraussetzung für viele andere Statistikkurse, die von SAS Education angeboten werden. Der Kurs beinhaltet Daten und praktische Übungen und ist für Base SAS und SAS Enterprise Guide-Benutzer geeignet.

1 Einsteiger Classroom
Introduction to Statistical Concepts Free e-learning
This course covers basic statistical concepts that are critical for understanding and using statistical methods. This course explains what statistics is and why it is important to understand the characteristics of your data.

The information in this course is a prerequisite for many other statistical courses that SAS Education offers. The course is appropriate for Base SAS and SAS Enterprise Guide users. Data, practices, and a case study are included.

1 Einsteiger e-Learning
Erstellung analytischer Data Marts
Dieser Kurs basiert auf dem in SAS Press erschienen Buch „Data Preparation for Analytics“ von Gerhard Svolba. Die Kursteilnehmer erwerben umfassende Kenntnisse sowohl aus fachlicher als auch aus programmtechnischer Sicht für die Erstellung analytischer Data Marts. In diesem Kurs werden folgende Kenntnisse vermittelt: Verständnis des Ökosystems für analytische Datenaufbereitung, Kenntnis der häufig verwendeten analytischen Datenstrukturen und deren Eignung für bestimmte analytische Fragestellungen, Leitfaden für die Herangehensweise bei der Erstellung von relevanten abgeleiteten Variablen. Außerdem vermittelt der Kurs Tipps & Tricks zur effizienten SAS Programmierung bei der Erstellung analytischer Datenbestände.

2 Basiswissen Classroom
Validierung von SAS® Programmen für die Auswertung klinischer Studien Business Knowledge Series
Die Teilnehmer erlernen, worauf es bei der Softwarevalidierung und bei elektronischen Aufzeichnungen ankommt und wie dies auf klinische Studien anwendbar ist. Weiter lernen sie konkrete Vorgehensweisen für die Validierung von SAS Programmen kennen. Der Kurs vermittelt kein komplett in sich geschlossenes Vorgehensmodell, da dieses unternehmensspezifisch aufgebaut werden muss.

2 Basiswissen Classroom
Kompaktkurs: Base SAS® Programmierung für erfahrene Programmierer
Dieser Kurs vermittelt Ihnen in verdichteter Form ein solides Grundwissen über die Base SAS Programmiersprache. Sie erwerben die Fähigkeit, grundlegende Aufgabenstellungen aus den Bereichen Datenzugriff, Datenmanagement und Datenpräsentation zu bearbeiten und entsprechende Programme mit dem SAS Enterprise Guide oder dem Display Manager System zu erstellen. Sie beherrschen die wichtigsten Techniken der Data Step-Programmierung, können Daten einlesen, aufbereiten und effizient in SAS Dateien organisieren.

Dieser Kurs kombiniert die Kursinhalte der beiden Kurse SAS® Programming 1: Essentials und SAS® Programming 2: Data Manipulation Techniques.

2 Basiswissen Classroom
Kompaktkurs: statistische Datenanalyse
Dieser Kurs vermittelt Ihnen die Kenntnisse, die Sie benötigen, um grundlegende statistische Verfahren mit der SAS Software umzusetzen. Er behandelt zunächst die Bereiche der schließenden Statistik, der Varianzanalyse, der Regression, der kategorialen Datenanalyse und eine Einführung in die logistische Regression. Anschließend beschäftigen Sie sich mit dem Thema Vorhersagemodellierung mit der SAS/STAT Software mit dem Schwerpunkt auf der Prozedur LOGISTIC. Im Kurs werden außerdem Themen wie Variablenselektion, Modellbewertung, fehlende Werte und Techniken der effizienten Verarbeitung von Massendaten behandelt. Der Kurs bereitet Sie auf die neue Zertifizierung „SAS® Certified Statistical Business Analyst Using SAS®9: Regression and Modeling" vor.

Dieser Kurs kombiniert die Kursinhalte der beiden Kurse Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression und Predictive Modeling Using Logistic Regression.

2 Basiswissen Classroom
Die wichtigsten Hadoop-Komponenten für Big Data mit SAS: ein Überblick
Dieser Kurs stellt einen allgemeinen Überblick über Hadoop und das Hadoop- Ökosystem dar. Teilnehmer erhalten eine Übersicht über die Architektur und Arbeitsweise der zentralen und optionalen Dienste und Services. Durch den Kurs sind dem Teilnehmer alle Entscheidungsgrundlagen gegeben um selbstständig in eine „Proof of Concept-Phase“ überzugehen.

Dieser Kurs wurde vom SAS Goldpartner KYBEIDOS konzipiert.Trainer: Bastian Weiß, Senior Berater für Big Data

2 Basiswissen Classroom
SAS® High-Performance Markdown Optimization Analytics and Modeling
This course is for those responsible for demand modeling within a retail organization in which SAS High-Performance Markdown Optimization has been implemented.

3 Für Fortgeschrittene Classroom
CDISC-Daten prüfen mit dem SAS® Clinical Standards Toolkit Business Knowledge Series
In der klinischen Forschung gewinnen globale Datenstandards immer mehr an Relevanz - nicht nur bei elektronischen Einreichungsverfahren zur Zulassung neuer Medikamente, sondern auch für die firmeninterne Verarbeitung und den Austausch klinischer Daten zwischen Unternehmen. Die von der CDISC-Organisation zu diesem Zweck entwickelten Software- und Plattform-unabhängigen Standards für klinische Daten und Metadaten setzen sich zunehmend in der pharmazeutischen Industrie und bei regulatorischen Behörden durch.

SAS stellt mit dem Clinical Standards Toolkit ein Werkzeug für die Validierung und Umwandlung von Daten zur Verfügung. Derzeit enthalten sind die Validierung von Dateien nach dem SDTM-Modell (inklusive publizierter WebSDM- und Janus-Checks) sowie die Erstellung von Metadaten nach CRT-DDS für die Einreichung.

Dieser Kurs vermittelt Kenntnisse zur Installation, Konfiguration und Anwendung des SAS Clinical Standards Toolkit. Die Kursteilnehmer werden in die Lage versetzt, dieses Werkzeug so in ihre firmeninterne Umgebung zu integrieren, dass die Qualität und die Geschwindigkeit der Umsetzung von CDISC-Datenmodellen gesteigert wird.

3 Für Fortgeschrittene Classroom
Kompaktkurs: fortgeschrittene Base SAS® Programmierung
In diesem Kurs erlernen Sie in kurzer Zeit die weiterführenden Techniken zur Verarbeitung großer Datenmengen. Sie können den Einsatz verschiedener Programmiertechniken unter dem Gesichtspunkt der Ressourcenoptimierung beurteilen und verbessern. Mit der Makroprogrammierung können Sie Programme dynamisieren und automatisieren. Mit SQL als weit verbreitete Abfragesprache können Sie auch in der SAS Umgebung performant mit Ihren Daten arbeiten.

Dieser verdichtete Kurs deckt weite Teile der Kurse SAS® Programming 3: Advanced Techniques, SAS® Makrosprache 1: Grundlagen und SAS® SQL 1: Essentials ab.

3 Für Fortgeschrittene Classroom
IFRS17 Enablement: Train the Trainer
This training will prepare future trainers to conduct training courses for customers and partners. You will learn everything about the solution and how this knowledge is delivered through training.

3 Für Fortgeschrittene Classroom
ODS Graphics: Grundlagen der Datenvisualisierung
In diesem Kurs lernen Sie mit Hilfe von ODS Graphics, Daten auf einfache Art zu visualisieren. ODS Graphics ist ein Teil von BASE SAS seit SAS 9.3.

3 Für Fortgeschrittene Classroom Live Web Classroom
Exporting SAS® Data Sets and Creating ODS Files for Microsoft Excel
This course presents techniques for exporting SAS data sets or reports from SAS to Excel.

3 Für Fortgeschrittene Classroom Live Web Classroom
Building and Solving Optimization Models with SAS/OR®
This course focuses on formulating and solving mathematical optimization models 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.

3 Für Fortgeschrittene Classroom Live Web Classroom
SAS® SQL Methods and More
This class teaches you how to improve the performance of SQL queries, and how to troubleshoot and tune other SAS processes that access relational database tables using SAS/ACCESS interfaces.

3 Für Fortgeschrittene Classroom Live Web Classroom
SAS® Certification Review: SAS® 9.4 Base Programming Performance-Based Exam
This course provides a review of the majority of topics in the SAS 9.4 Base Programming Performance-Based Exam. It addresses the four exam content areas: Accessing and Creating Data Structures, Managing Data, Generating Reports and Output, and Handling Errors.

3 Für Fortgeschrittene Live Web Classroom e-Learning
Introduction to SAS/ACCESS® Interface to Teradata
This course teaches you how to read Teradata tables in Teradata using the SAS 9.4 SAS/ACCESS Interface to Teradata. You learn how to connect to Teradata and to query a single Teradata table and multiple Teradata tables. You also learn efficiency techniques and options for optimizing data access performance.

3 Für Fortgeschrittene Classroom Live Web Classroom e-Learning
Exploring SAS® Studio for SAS® Programmers
This course provides an introduction to SAS Studio for experienced SAS programmers. SAS Studio is an interface that enables users to write and submit SAS programs and use snippets and tasks to generate SAS code.

The self-study e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual Lab time to practice.

3 Für Fortgeschrittene Classroom Live Web Classroom e-Learning
Programming for SAS® Viya®
This course is for users who need to modify existing Base SAS programs that will execute in SAS Viya. This course leverages the power of SAS Cloud Analytic Services (CAS) to access, manage, and manipulate in-memory tables. This course is not intended for beginning SAS software users.

3 Für Fortgeschrittene Classroom Live Web Classroom e-Learning
SAS® Federation Server: Accessing and Virtualizing Enterprise Data
SAS Federation Server makes it easier for business users to access secure data for reporting and analysis. It provides a virtual layer or view, giving users the appropriate level of control without physically moving data. This frees up IT staff to focus on other tasks by giving them a simple method of sharing data using a centralized, governed security layer.

3 Für Fortgeschrittene Classroom Live Web Classroom e-Learning
Hadoop Data Management with Hive, Pig, and SAS®
In this course, you use processing methods to prepare structured and unstructured big data for analysis. You learn to organize this data into a variety of Hadoop distributed file system (HDFS) storage formats for processing efficiency using Apache Hive and Apache Pig. You also learn SAS software technologies that integrate with Hive and Pig and how to leverage these open source capabilities by programming with Base SAS and SAS/ACCESS Interface to Hadoop.

3 Für Fortgeschrittene Classroom Live Web Classroom e-Learning
SAS® Report Writing
This course teaches you how to create tabular reports using the REPORT and TABULATE procedures. You also learn how to enhance your reports using the Output Delivery System (ODS).

The self-study e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual lab time to practice.

3 Für Fortgeschrittene Classroom Live Web Classroom e-Learning
Producing Maps with SAS/GRAPH®
This course teaches you to use SAS/GRAPH software to produce various types of maps to display geographically based data. In addition, you learn how to add annotations to maps, and create and modify map data sets.

4 Für Experten Classroom
DS2 Programming Essentials with Hadoop
This course focuses on DS2, a fourth-generation SAS-proprietary language providing modern programming techniques and structures for parallel processing and preparing large data for analysis. A brief introduction to Hadoop, including a comparison to traditional relational databases, is included. If you are a programmer/data scientist who wants training and hands-on experience manipulating Hadoop data using powerful SAS algorithms, this class is for you.

4 Für Experten Classroom
SAS® Programmierung mit DS2
Dieser Kurs behandelt DS2 (Data Step 2), eine proprietäre SAS Sprache der vierten Generation für die fortgeschrittene Datenbearbeitung. DS2 ermöglicht die parallele Verarbeitung und Speicherung von großen Datenmengen mit wiederverwendbaren Methoden und Paketen. Dieser Kurs richtet sich an Programmierer, die große Datenmengen verarbeiten müssen und dafür moderne Programmiertechniken verwenden möchten.

4 Für Experten Classroom Live Web Classroom
SAS® Makrosprache 2: Praxis für Fortgeschrittene
In diesem Kurs lernen Sie die Entwicklung und Implementierung fortgeschrittener Techniken der Makroprogrammierung, wie die Benutzung von Makroprogrammen und Makrovariablen im Data Step und die Verwendung der wichtigen Quoting-Funktionen. Sie erstellen ein Framework für die Entwicklung von Makroanwendungen und entwickeln dynamische, datengetriebene Makroprogramme.

4 Für Experten Classroom Live Web Classroom e-Learning
Feature Engineering and Data Preparation for Analytics
This course introduces programming techniques to craft and feature engineer meaningful inputs to improve predictive modeling performance. In addition, this course provides strategies to preemptively spot and avoid common pitfalls that compromise the integrity of the data being used to build a predictive model. This course relies heavily on SAS programming techniques to accomplish the desired objectives.

The self-study e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual Lab time to practice.

4 Für Experten Classroom Live Web Classroom e-Learning