SAS Business Knowledge Series · SAS Business Knowledge Series ..... 1 What We Offer ... manual now...

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SAS Business Knowledge Series

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SAS Business Knowledge Series .................... 1

What We Offer .................................................. 2

Foundation Tools .............................................. 3

Advanced Analytics ........................................ 5

Business Intelligence ...................................... 13

SAS® Solutions ................................................. 14

Special Offers .................................................. 18

Registration ..................................................... 18

Coming Soon .................................................. 18


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SAS Business Knowledge Series

A unique collaboration between SAS and

a global network of experts. Together we

deliver the latest business practices, concepts,

methodology and techniques to help you get

the most value out of your SAS® investment.



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What We OfferClassroom Training

Our instructors deliver real-world knowledge, cutting-edge

techniques and useful tips by combining expertly designed

lectures and software demonstrations, Q&A sessions and

hands-on computer workshops. Join us for an interactive

learning experience delivered at a SAS training facility.

Live Web Classroom Training

Bring instructor-led training directly to your desktop while

accommodating your busy schedule. Using a web browser

and your telephone, interact with our instructor, who will guide

your learning and answer your questions in real time.

On-Site Training

The same quality content and instruction as our classroom training

delivered at your convenience at your location. Ask questions and

generate discussion unique to your organization’s needs in a private

setting and eliminate staff travel time and expenses.

E-Learning

SAS Education’s self-paced learning products provide flexible,

convenient training options. Most e-courses cover the same

content as the corresponding instructor-led courses and use

movies, demos, interactive questions, quizzes and hands-on

practice sessions to dynamically present the course.


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SAS® Programming Training

Data Cleaning TechniquesExplore a variety of techniques for detecting and correcting

errors in raw data, SAS data sets and more complex data

structures.

In addition to course materials provided, you will

receive a pdf of Cody’s book.

Ron Cody, author; or Mark Jordan or Jim Simon, SAS

SAS® Functions by ExampleDiscover practical SAS functions you haven’t seen

in other SAS programming courses and start resolving

everyday programming problems more quickly

and efficiently.


receive a pdf of Cody’s book.

Ron Cody, author; or Mark Jordan, SAS

SAS® Foundation ToolsProviding strength and integration for SAS® products and solutions.

SAS® Enterprise Guide® Training

Developing Custom Tasks for SAS® Enterprise Guide®

Need to extend or customize your SAS Enterprise Guide

environment to fit a particular industry or business processes?

This is the course for you.


receive a pdf of Hemedinger’s book.

Chris Hemedinger, SAS

Ron Cody

SAS® Functions by ExampleSecond Edition

SAS® Press

The Indispensable Handbook on SAS® Functions, Now Updated for SAS® 9.2!Fully updated for SAS 9.2, Ron Cody’s SAS ® Functions by Example, Second Edition, is a must-have reference for anyone who programs in Base SAS. With the addition of functions new to SAS 9.2, this comprehensive reference manual now includes more than 200 functions, including new character, date and time, distance, probability, sort, and special functions. This new edition also contains more examples for existing functions and more details concerning optional arguments.

Like the first edition, the new edition also includes a list of SAS programs, an alphabetic list of all the functions in the book, and a comprehensive index of functions and tasks. Beginning and experienced SAS users will benefit from this useful reference guide to SAS functions.

“ If you work with the DATA step—and we all do—or if you build applications using the SAS macro language, this book must be in your library. Most likely you will discover that its place is not on a shelf, but on your desk, close at hand for easy reference.”

Art CarpenterCALOXY

“ A time saver that makes you look like a data magician.”

Jeanne SpicerManaging Director, Programming & Statistics

Core Population Research Institute Penn State University

Free Codeon the Web!support.sas.com/authors

Ron Cody, Ed.D., is a retired

professor from the Robert Wood

Johnson Medical School who now

works as a private consultant and

a national instructor for SAS

Institute Inc. A SAS user since

1977, Ron’s extensive knowledge

and innovative style have made

him a popular presenter at local,

regional, and national SAS

conferences. He has authored or

co-authored numerous books,

such as Learning SAS® by Example: A Programmer’s Guide;

SAS® Programming by Example; Applied Statistics and the

SAS® Programming Language, Fifth Edition; The SAS®

Workbook; The SAS® Workbook Solutions; Cody’s Data

Cleaning Techniques Using SAS®, Second Edition; Longitudinal

Data and SAS®: A Programmer’s Guide; and SAS® Functions

by Example, Second Edition, as well as countless articles in

medical and scientific journals.

SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions delivered within an integrated framework, SAS helps customers at more than 45,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW®.

support.sas.com/publishingsupport.sas.com/authors

Co

dy

SAS

® Functions by Exam

ple Second Edition

Phot

o by

Jan

Cod

y

Custom Tasks for SAS® Enterprise Guide® Using Microsoft .NET

SAS® Press

Chris Hemedinger


https://support.sas.com/edu/schedules.html?id=31&ctry=US




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“ Ron is an excellent instructor who has a strong grasp of his content. He creates a learning environment that promotes asking questions and finding answers. Throughout the course, I was amazed at his in-depth understanding of using SAS to solve data issues.”

Ron Cody, EdD, is a retired professor from the Robert Wood Johnson

Medical School who now works as a private consultant and a national

instructor for SAS. A SAS user since 1977, Cody’s extensive knowledge

and innovative style have made him a popular presenter at local, regional

and national SAS conferences. He has written or co-written numerous books

as well as countless articles in medical and scientific journals.

Ron CodyFeatured Instructor


http://support.sas.com/training/instructor/cody_ron.html

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SAS® Advanced AnalyticsWhere power meets purpose.

Statistical Analysis Training

GET STARTED

Analytical Approaches to Solving Problems in Communications and MediaLearn a variety of analytical techniques that address business problems using real industry scenarios, including customer acquisition, churn, fraud detection and risk assessment.

In addition to course materials provided, you will receive a pdf of Pinheiro’s book.

Carlos Andre Reis Pinheiro, PhD, SAS

EXPAND YOUR SKILLS

Conjoint Analysis: Evaluating Consumer Preferences Using SAS® SoftwareUncover details on conjoint analysis, a marketing research method used to analyze consumer preferences for products and services.

Mike Patetta, SAS

Discrete Choice Modeling Using SAS® SoftwareThis market research course explains how to design a discrete choice experiment and how to analyze discrete choice data.

Mike Patetta, SAS

Imputation Techniques in SAS®

Take this course for a general introduction to using the MI and MIANALYZE procedures for multiple imputation and subsequent analyses with imputed data sets.

Patricia Berglund, University of Michigan

Robust Regression Techniques in SAS/STAT®

Use practice data to learn the ROBUSTREG procedure and the QUANTREG

procedure for robust regression.

Mike Patetta, SAS

Structural Equation Modeling Using SAS®

Experienced statistical analysts will learn structural equation modeling (SEM)

in the CALIS procedure in SAS/STAT software.

Catherine Truxillo, PhD, SAS

DIVE DEEPER

Fitting Tobit and Other Limited Dependent Variable ModelsLearn how to fit Tobit models, truncated models and sample selection models

in the QLIM procedure.

Mike Patetta, SAS

Getting the Most Out of Testing in Direct/Internet MarketingImprove your ability to test various elements of a marketing mix and analyze

data from these tests.

Goutam Chakraborty, PhD, Oklahoma State University

Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS®

Discover how to identify complex and dynamic patterns within multilevel

data to inform a variety of decision-making needs.

Catherine Truxillo, PhD; or Chris Damon, SAS
















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Data Science Training

Data Science: Building Recommender Systems With SAS® and HadoopStatisticians and experienced programmers will enjoy this problem-driven course, which

focuses on what data scientists do, the problems they solve and the methods they use.

Catherine Truxillo, PhD; or Terry Woodfield, PhD; or David Gahn; or Andy Ravenna, SAS

Explaining Analytics to Decision Makers: Insights to ActionsWhat are the main hurdles in explaining analytics and how can you overcome them?

Learn multiple approaches, including understanding your audience, using visualization,

messaging, presentations and more.

Jeff Zeanah, Z Solutions Inc.

Strategies and Concepts for Data Scientists and Business AnalystsFind out which skills data scientists and statistical business analysts need to succeed

in today’s data-driven economy.

Catherine Truxillo, PhD; or Jeffrey Thompson, PhD; or Peter Christie; or Chris Daman, SAS


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Forecasting and Econometrics Training

GET STARTED

Introduction to Applied EconometricsSharpen your skills by learning to develop and use single-equation econometric

models, which help you better understand your economic/business landscape and

improve forecasting.

Oral Capps Jr., PhD, Texas A&M University

Electric Load Forecasting: Fundamentals and Best PracticesUsing conceptual and hands-on exercises, this course covers electric load

forecasting from both statistical and practical aspects using language and

examples from the power industry.

Tao Hong, PhD, University of North Carolina, Charlotte

Stationarity Testing and Other Time Series TopicsForecasters, researchers in finance and anyone who’s modeling data taken over time will

benefit from this course, which explores the most basic question in time series modeling

and forecasting.

Dave Dickey, PhD, North Carolina State University

EXPAND YOUR SKILLS

Electric Load Forecasting: Advanced Topics and Case StudiesExplore advanced topics in electric load forecasting in both hands-on lab

exercises and lectures.

Tao Hong, PhD, University of North Carolina, Charlotte

Modeling Trend, Cycles and Seasonality in Time Series Data Using PROC UCMLearn the latest techniques for modeling, interpreting and predicting time

series data using Unobserved Components Models (UCMs).

Terry Woodfield, PhD, SAS

Forecast Value Added AnalysisGet step-by-step guidelines for conducting FVA and learn how it can result in better

forecasts that use fewer resources and require less management time.

Michael Gilliland; or Chip Wells, PhD, SAS

Next Generation Demand Management: People, Process, Analytics and TechnologyUsing demonstrations and hands-on exercises, this course explains how to implement

a multistep demand management process. We’ll also address changing corporate

culture to drive adoption and accountability.

Charles Chase Jr., SAS

DIVE DEEPER

Advanced Topics in Applied EconometricsIntermediate/advanced topics in working with econometric models shape this course,

which details additional techniques for improving your ability to make sound forecasts.

Oral Capps Jr., PhD, Texas A&M University












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“ Oral is a great instructor. He did an excellent job explaining the topics and giving real-world examples about how to apply them. I’m also impressed that he is so willing to help his students after the course is finished.”

Oral Capps Jr., PhD, is a demand and price analyst with expertise in

econometric modeling and forecasting methods. He is an internationally

recognized leader in demand analysis, specializing in large databases.

Capps is a full professor and holder of the Southwest Dairy Marketing

Endowed Chair in the Department of Agricultural Economics at Texas A&M

University as well as Co-Director of the Agribusiness, Food, and Consumer

Economics Research Center.

Oral Capps, Jr.Featured Instructor


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Data Mining Training

GET STARTED

Analytics: Putting It All to WorkNeed extensive practical advice and guidelines on how to put all the analytical tools

and concepts to work? Learn to efficiently use and deploy predictive and descriptive

analytics to optimize and streamline strategic business processes.

Bart Baesens, PhD, or Christophe Mues, PhD; or Cristian Bravo, PhD, University of

Southampton (UK); or Wouter Verbeke, PhD, University of Brussels (Belgium); or Thomas

Verbraken, PhD, KU Leuven (Belgium); or Stefan Lessmann, PhD, Humboldt University

(Germany)

Data Mining: Principles and Best PracticesGet valuable, practical advice acquired during years

of real-world experience in various industries and learn

how to properly build reliable predictive models and

interpret results with confidence.

In addition to course materials provided, you will receive

a pdf of Elder’s book.

John Elder IV, PhD; or Gerhard Pilcher; or Mike Thurber,

Elder Research Inc.


Data Mining Techniques: Theory and PracticeWork through all the steps of a data mining project, from

problem definition and data selection through data exploration,

data transformation and assessment – with all the in-between

stages covered.


a pdf of Linoff’s book.

Gordon S. Linoff, Data Miners Inc.

EXPAND YOUR SKILLS

Customer Life Cycle Management Using SAS®

Explore popular metrics and methods used to measure customer valuation,

including Customer Lifetime Value (CLV), learn different strategies to maximize

CLV over a customer’s life cycle and more.


Customer Segmentation Using SAS® Enterprise Miner™

Emphasizing practical skills and providing theoretical knowledge, this hands-on,

comprehensive course covers segmentation analysis in the context of business

data mining.


Exploratory Analysis for Large and Complex Problems Using SAS® Enterprise Miner™

Analysts working with virtually any type of exploratory data analysis problem,

especially in areas related to fraud detection, will benefit from this discovery

process using real-world problems.

Jeff Zeanah, Z Solutions Inc.

Data MiningTechniques

Gordon S. Linoff Michael J. A. Berry

For Marketing, Sales, and Customer Relationship Management

TIMELY. PRACTICAL. RELIABLE.

Third Edition










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DIVE DEEPER

Advanced Analytics in a Big Data WorldHow can you successfully adopt recently proposed,

state-of-the art analytical and data science techniques for

advanced customer intelligence applications? This highly

interactive course provides both theoretical and technical

insights, as well as practical implementation details

illustrated by real-life cases.


a pdf of Baesens’ book.

Bart Baesens, PhD, or Christophe Mues, PhD, University of

Southampton (UK); or Wouter Verbeke, PhD, University of Brussels

(Belgium); or Thomas Verbraken, PhD, KU Leuven (Belgium);

or Stefan Lessmann, PhD, Humboldt University (Germany)

Applying Survival Analysis to Business Time-to-Event ProblemsGet to know survival analysis in the context of business data mining, with a focus

on understanding customer behaviors that have a time-to-event component using

SAS Enterprise Guide.

Gordon S. Linoff, Data Miners Inc.

Big Data, Data Mining and Machine LearningDrawing on the instructor’s extensive experience consulting

with clients and his own projects, this course covers a wide

range of topics, including an introduction to data mining

algorithms, segmentation, data mining methodology,

time-series data mining, text mining and more.


a pdf of Dean’s book.

Jared Dean, SAS

Net Lift Models: Optimizing the Impact of Your Marketing EffortsDiscover how incremental lift models can maximize the difference in response rates

between clients who receive an offer and a control group, helping you target clients

who are most likely to be motivated by marketing.

Kim Larsen, Uber; or Terry Woodfield, PhD, SAS

Social Network Analysis for Business ApplicationsLearn to build networks from raw data and explore different approaches for analyzing

customers, focusing on their relationships and connections within the network.

Carlos Andre Reis Pinheiro, PhD, SAS

Survival Data Mining: A Programming ApproachCalling all predictive modelers, data analysts and data scientists! This advanced course

uses SAS/STAT® software to illustrate various survival data mining methods and their

practical implementation.

Mike Patetta or Chip Wells, PhD, SAS












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“ Goutam made the class very relatable to common business practices and scenarios. My concern going into the class was that it would be all theory without any real application. I was very pleased that this wasn’t the case.”

Goutam Chakraborty, PhD, has been a professor of marketing at Oklahoma

State University for more than 17 years. He has taught data mining and CRM

applications, database marketing, new product development, marketing

research, digital business strategy, web business strategy, electronic

commerce, interactive marketing, and product and pricing management.

Chakraborty founded the SAS and OSU Data Mining Certificate program.

Goutam ChakrabortyFeatured Instructor


http://support.sas.com/training/instructor/chakraborty_gou.html

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Survival Data Mining Using SAS® Enterprise Miner™ SoftwareDesigned for analysts, this advanced course covers predictive hazard modeling for

customer history data using SAS Enterprise Miner to illustrate survival data mining

methods and their practical implementation.

Mike Patetta or Chip Wells, PhD, SAS

Text Analytics Training

Text Analytics and Sentiment Mining Using SAS®

This hands-on course takes a comprehensive look at how

to organize, manage and mine textual data to extract

insightful information that helps improve business

operations and performance.


a pdf of Chakraborty’s book.


JMP® Statistical Analysis Training

GET STARTED

Applied Statistics for EngineersLearn to use JMP statistical software for engineering and scientific approaches

to data analysis by focusing on descriptive statistics, graphical analysis, hypothesis

testing, analysis of variance and model building.

Wayne Levin; or Diana Ballard, Predictum Inc.


Applied Statistics for ScientistsEngineers, scientists and technicians handling product or process improvement will

benefit from this combination of JMP with basic, intermediate and advanced analytical

methods, complete with interactive illustrations to help explain statistical concepts.

Heath Rushing, Adsurgo LLC

EXPAND YOUR SKILLS

Analyzing Marketing Data: Going Beyond Tabs and Bar Charts With JMP®

This hands-on course uses a customer satisfaction case study to illustrate the

analytical framework for how to use intelligent, logical and sophisticated analyses

and visualizations to extract marketing information.

Walter R. Paczkowski, PhD, Data Analytics Corp.

Quality by Design (QbD) Using JMP® SoftwareLearn to establish a systematic approach to pharmaceutical development that’s

defined by Quality-by-Design (QbD) principles using design of experiments (DOE).


Statistics for FDA Process Validation Using JMP® SoftwareDiscover how to establish a systematic approach to implementing statistical

methodologies into a process development and validation program consistent

with the FDA guidance.


Goutam Chakraborty, Murali Pagolu, Satish Garla

Text Mining and Analysis Practical Methods, Examples, and Case Studies Using SAS®

Text Mining

and A

nalysisC

hakrabo

rty, Pag

olu,

Garla











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SAS® Enterprise Business Intelligence Training

Promoting Business Analytics Across the EnterpriseAcquire guidelines for assessing your organization’s analytical maturity and

for establishing a road map for an enterprise business analytics center

of excellence at your organization.

Aiman Zeid, SAS

Business Intelligence and AnalyticsPowerful insights – at your fingertips.

It pays to share.Develop a course for the

SAS Business Knowledge Series.

When you share your expertise on business trends and SAS® software, everyone wins. Reap the financial,

professional and intellectual rewards of teaching SAS users and learners around the world.

Grow with us.support.sas.com/bks/partner



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Fraud and Security Intelligence Training

Fraud Detection Using Descriptive, Predictive and Social Network AnalyticsFraud patterns in historical data can be used to fight fraud.

Real-life case studies help clarify techniques shared in this

course, which are relevant to a variety of applications, including

insurance fraud, credit card fraud, anti-money laundering,

health care fraud, telecommunications fraud, click fraud,

tax evasion and counterfeiting.



Bart Baesens, PhD, or Christophe Mues, PhD, University of Southampton (UK);

or Wouter Verbeke, PhD, University of Brussels (Belgium); or Stefan Lessmann, PhD,

Humboldt University (Germany)

Risk Management Training

Credit Risk ModelingReal-life case studies and a blend of theoretical and technical

insights and practical implementation details will help students

learn to develop credit risk models in the context of Basel II and

Basel III guidelines.



Bart Baesens, PhD, or Christophe Mues, PhD; or Cristian Bravo,

PhD, University of Southampton (UK); or Wouter Verbeke, PhD,

University of Brussels (Belgium); or Stefan Lessmann, PhD, Humboldt University (Germany)

Credit Scorecard Development and ImplementationThis business-focused course provides the knowledge needed

to plan, develop, implement and maintain risk scorecards

in-house, as well as a high-level introduction to credit risk

management and scorecard implementation strategies.


a pdf of Siddiqi’s book.

Naeem Siddiqi, SAS

Supply Chain Intelligence Training

Warranty and Service Contract Management: Best PracticesDeveloped by recognized experts, this course details techniques that will improve the

effectiveness and efficiency of your warranty management processes. A comprehensive

discussion of analytics that help manage information intelligently is included.

G. Terry Hawkins, Global Warranty and Service Contract Association

Warranty Maturity Model AssessmentThis highly interactive workshop uses a proven self-assessment tool to guide original

equipment manufacturers as they evaluate their warranty management and service

contract programs. You’ll leave with next steps for your program and a formal report

for senior management.

G. Terry Hawkins, Global Warranty and Service Contract Association

SAS® SolutionsSpecific skills based on specific business activity.










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” Christophe explained the big data analytical concepts clearly and completely. He made the complex very simple to understand. I would highly recommend him as an instructor.”

Christophe Mues, PhD, is a professor at the School of Management of the

University of Southampton (UK). His key research interests include the

business intelligence domain, where he has investigated the use of decision

table and diagram techniques in business rule modeling and validation. His

other key research areas include knowledge discovery and data mining,

especially applying data mining techniques to financial risk management

and credit scoring.

Christophe MuesFeatured Instructor


http://support.sas.com/training/instructor/mues_chr.html

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Health and Life Sciences Training

Administrative Healthcare Data and SAS®

This industry-specific course focuses on the payer side

of the industry: the origin, content, management and use

of administrative health care data. This course is not a hands-on

programming course; it explores the business of medical

claims data, health plan members and service providers.


a pdf of Dickstein’s book.

Mark Dalesandro, independent consultant, based

on materials developed by author Craig Dickstein

Administrative Healthcare Data and SAS®: Hands-On Programming WorkshopOpen to SAS programmers who attended the Administrative Healthcare Data and

SAS course, this hands-on workshop explores programming methods and techniques

that are useful in the management of administrative health care data.

Mark Dalesandro, independent consultant, based on materials developed

by author Craig Dickstein

Establishing Causal Inferences: Propensity Score Matching, Heckman’s Two-Stage Model, Interrupted Time Series and Regression Discontinuity ModelsLearn methods commonly used in program evaluation and real-world effectiveness

studies, including two-stage modeling, interrupted time series, regression discontinuity

and propensity score matching.

Howard S. Friedman, PhD, United Nations

Propensity Score Matching, Adjustment and Randomized ExperimentsWas an increase in customer sales due to sales fliers? Did health improve because

of a new medication? What conclusion can be drawn? This course focuses on testing

whether the results of a program can be attributed to a given cause.

Howard S. Friedman, PhD, United Nations; or Paul Thurman, Columbia University

Craig Dickstein and Renu Gehring

Administrative Healthcare Data A Guide to Its Origin, Content, and Application Using SAS®










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“ Howard displayed a fantastic combination of intelligence, teaching skill and common sense. His instructional approach was certainly among the best I have ever experienced.”

Howard Friedman, PhD, works as a statistician and health economist for the

United Nations. He focuses on maternal and newborn child health, health

expenditures and fertility at the United Nations Population Fund. A lead

modeler on a number of key United Nations projects, Friedman has

extensive management and teaching experience and has written more than

35 scientific articles and book chapters in applied statistics and health

economics.

Howard Friedman, PhDFeatured Instructor


http://support.sas.com/training/instructor/friedman_how.html

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Special Offerssupport.sas.com/training/discounts

Best Value Deals

• Take 3, Any 3 – Bundle 3 classes for 1 price.

• SAS Training Points – Up to 30% off with our

prepaid volume discount.

Standard Discounts

• 10% Early-Bird Discount.

• 10% Group Discount.

• E-Learning Multi-User Discount.

Academic Discount Program

Educators, students (part-time and full-time) and staff

directly employed by or enrolled in a K-12 or degree-

granting academic institution or school district receive

50% off training. Proof of affiliation is required.

RegistrationWeb: support.sas.com/bks

Phone: 800-727-0025

New Courses Coming SoonLeading With AnalyticsCat Truxillo, PhD, SAS

Strategic Planning and Decision Making: Powered by SAS®

Paul Thurman, Columbia University

Statistical Data Mining Using SAS® ApplicationsGeorge Fernandez, PhD, SAS

SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. 101382_43555_0317


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SAS Business Knowledge Series · SAS Business Knowledge Series ..... 1 What We Offer ... manual now...

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