Official SAS Curriculum Courses
|
|
- Percival Higgins
- 7 years ago
- Views:
Transcription
1 Certificate course in Predictive Business Analytics Official SAS Curriculum Courses SAS Programming Base SAS An overview of SAS foundation Working with SAS program syntax Examining SAS data sets Accessing SAS libraries Producing Detail Reports Sorting and grouping report data Enhancing reports Formatting Data Values Creating user-defined formats Reading SAS Data Sets Customizing a SAS data set Handling missing data Manipulating Data Combining SAS Data Sets Creating Summary Reports Controlling Input and Output Summarizing Data Reading Raw Data Files Data Transformations Debugging Techniques Using the PUTLOG statement Processing Data Iteratively Restructuring a Data Set Creating and Maintaining Permanent Formats SAS Global Certification SAS Certified Base Programmer Advance SAS SAS Macros Macro Variables Definitions Data Step and SQL Interfaces Macro Programs Optional SAS SQL Basic Queries Sub-Queries Joins (SQL) Operators Creating Tables and Views Additional Proc SQL Features Managing Tables Accessing RDBMS Advanced Techniques and Efficiencies Measuring Efficiencies Controlling I/O Processing and Memory Accessing Observation Using DATA Step Arrays Using DATA Step Hash and Hiter Objects Combining Data Horizontally Expert Programmer Techniques Optional SAS Global Certification SAS Certified Advanced Programmer Querying Microsoft SQL Server Microsoft Official Course Introduction to Microsoft SQL Server 2014 Introduction to T-SQL Querying Writing SELECT Queries Querying Multiple Tables Sorting and Filtering Data Working with SQL Server 2014 Data Types Using DML to Modify Data Using Built-In Functions Grouping and Aggregating Data Using Subqueries Mapped to exam Microsoft SQL Server: Using Table Expressions Using Set Operators Using Window Ranking, Offset, and Aggregate Functions Pivoting and Grouping Sets Executing Stored Procedures Programming with T-SQL Implementing Error Handling Implementing Transactions Improving Query Performance Querying SQL Server Metadata Banking/Financial Project SAS based fully functional financial project. Implement banking/financial analytics functions using Base SAS, SAS/SQL and SAS Macros. Programmatically translating the Underlying domain requirements to produce required reports.
2 Module A Analytics Theory Type I and Type II errors. Analytics Concepts: Descriptive Statistics Statistical Methods (Introduction) Introduction to Predictive Analytics Introduction to Statistics Descriptive Statistics Frequency Distributions Statistical graphs Central tendency & Dispersion Mean, Median and Mode Range, Interquartile Range and Variance / Standard Deviation Coefficient of variation Skewness & Kurtosis Module B Data Modeling Introduction to Probability Introduction to probability theory Axioms/Rules of Probability Random variable & Probability distribution functions Excepted value and Variance Advance Probability concepts Probability tree s Joint, Marginal and Conditional Probabilities Statistical Independence Probability Distributions Discrete Probability distributions o Binomial o Poisson Continuous Probability distributions o Normal Distribution Sampling & Estimation Introduction to sampling and types of sampling Parameter and Statistic Sampling distribution of a statistic Sampling distribution of a mean Point and Interval estimates Confidence Intervals and Central Limit Theorem. Hypothesis Testing: One Sample tests Hypothesis Testing: Two Sample tests Introduction Hypothesis testing for difference between means Paired t-test Pooled and Satterthwaite-Welch t-test Chi-Square Analysis Introduction Chi-square as a test of Independence Chi-square as a Goodness of fit Inference about the population variance ANOVA Introduction to ANOVA One-way ANOVA Post-HOC analysis Factorial ANOVA Correlation Correlation analysis and Interpretation Linear Regression Introduction Simple Regression and Estimating using the Regression Line Making inferences about the population parameters Multiple Regression and correlation Analysis Logistic Regression Introduction to logistic regression Concept of Odds Ration, Logistic function. Maximum likelihood function and parameter estimates Goodness of fit statistics Multiple Lo Introduction to Hypothesis testing Testing Hypothesis Hypothesis testing when population SD is known and Unknown Significance level, Critical Region and P-value
3 Predictive Analytics using SAS SAS Statistics: Introduction to ANOVA, Regression, and Logistic Regression Generate descriptive statistics and explore data with graphs Perform analysis of variance and apply multiple Comparison techniques Perform linear regression and assess the assumptions 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 Fit a multiple logistic regression model. Predictive Modelling Using Logistic Regression Use logistic regression to model an individual's behaviour as a function of known inputs Create effect plots and odds ratio plots using ODS Statistical Graphics Handle missing data values Tackle multicollinearity in predictors Assess model performance and compare models. SAS Global Certification: SAS Certified Statistical Business Analyst using SAS 9: Regression and Modeling Data Visualisation SAS Visual Analytics Getting Started with SAS Visual Analytics Exploring SAS Visual Analytics concepts Using the SAS Visual Analytics home page Discussing the course environment and scenario Administering the Environment and Managing Data Exploring SAS Visual Data Builder Exploring SAS Visual Analytics Administrator Using the SAS Visual Analytics Explorer Examining the Visual Analytics Explorer Selecting data and defining data item properties Creating visualizations Enhancing visualizations with analytics Interacting with visualizations and explorations Designing Reports with SAS Visual Analytics Examining the SAS Visual Analytics Designer interface Creating a simple report Creating data items and working with graphs Working with filters and report sections Establishing interactions, links, and alerts Working with gauges and display rules Working with tables Working with other objects Viewing SAS Visual Analytics Reports Viewing reports on the Web Viewing reports on a mobile device Viewing reports with SAS Office Analytics Case Study: Creating Analyses and Reports with SAS Visual Analytics Demonstration Exercises SAS Global Certification SAS Certified Visual Business Analyst: Exploration and Design Using SAS Visual Analytics (Optional)
4 Analytics Tools Microsoft Power BI Introduction to Self-Service BI Introduction to Power Pivot Importing Data Into Power Pivot Creating the Data Model Creating Calculated Columns with DAX Creating Calculated Measures with DAX Building Power Pivot Reports Introduction to Power View Creating Basic Power View Reports Optimizing Power Pivot Models for Power View Reporting Creating Interactive Reports with Power View Touring Data with Power Map Introduction to Power Query Importing Data Using Power Query to Transform Data Making Self-Service BI Scalable Using Power BI Q&A to Unleash your Data Microsoft Excel 2013 Microsoft Courses 55130AC/31/32 Creating a Microsoft Excel Workbook The Ribbon The Backstage View (The File Menu) The Quick Access Toolbar Entering Data in Microsoft Excel Worksheets Formatting Microsoft Excel Worksheets Using Formulas in Microsoft Excel Working with Rows and Columns Editing Worksheets Finalizing Microsoft Excel Worksheets Advanced Formulas Working with Lists Working with Illustrations Visualizing Your Data Working with Tables Advanced Formatting Using Pivot Tables Auditing Worksheets Data Tools Working with Others Recording and Using Macros Random Useful Item Leads to MOS: Microsoft Office Excel 2013 certification exam Microsoft Excel Power Programming with VBA John Walkenbach Understanding Excel VBA Starting With Excel VBA Procedures, Using Variables Functions In VBA Using Excel Objects Building Formular Control Structures Creating Custom Forms Programming User Forms Automatic Start-up R Programming R for Everyone: Jared P Lander Basics of R Programming (variables, data types, vectors, functions, etc.) Advanced R Programming (Data structures, Reading data, statistical graphics, control statements, loops, data reshaping) Probability Distributions in R (Normal, Binomial, Poisson) Basic Statistics in R (Summary statistics, correlation, covariance, t-tests, Anova) Linear Models in R (Simple Linear Regression, Multiple Regression) Model Diagnostics in R (Residuals, Comparing models, stepwise selection)
5 OPERATIONALISING ADVANCED ANALYICS I. Customer Lifecycle - Introduction Customer Lifecycle Analytics Analytical Solutions for Financial Services II. Product and Data Credit Products Glossary of Terms Data Application and Performance Data Credit Bureau III. Acquisition Acquisition Roadmap Acquisition Process and Underwriting Acquisition Channels IV. Usage Definition Activation Activation Case Study Spend Management Spend Management Case Study Balance Build Segmentation Case Study V. Cross-Sell Definition Benefits and Challenges Industry Exemplars Types of Offering Cross-Sell Process Targeting Strategy Targeting Models Case Study VI. Retention Introduction Types of Attrition Retention Strategies Targeting Strategy - Case Study About Trainer: Dr. Sandhya Kuruganti is a senior professional with 18+ years of experience in business analytics, mostly in financial services. She has been working as a management consultant since Her last full time role was with Citibank, India as SVP, managing the Centre of Excellence for Asia Pacific and Europe. Prior to this role, she was heading the Analytics function for the India consumer business of Citibank. She started her career with American Express, New York in the risk management group. She is also a co-author of Business Analytics: Applications to Consumer Marketing, published by McGraw Hill and released in April By training, she is an econometrician with a doctorate in Economics from a U.S. based university. Program Highlights: Dr. Sandhya Kuruganti will take two sessions over two Saturday mornings (4hours each) covering the topics above. This will be followed up by the case studies to done individually by the participants. Lodestone trainers will be at hand to assist participants navigate the case studies. Each case study is expected to take 20 hours effort by the participant. Participants are expected to prepare presentations for each case study to be submitted to Dr. Sandhya for her individual review. CASE STUDIES for HANDS ON ANALYTICS 1. Telecom Churn Prediction using Logistic Regression 2. Credit Card Usage Segmentation using Cluster Analysis 3. Personal Loan Risk Segmentation using Decision Tree
business statistics using Excel OXFORD UNIVERSITY PRESS Glyn Davis & Branko Pecar
business statistics using Excel Glyn Davis & Branko Pecar OXFORD UNIVERSITY PRESS Detailed contents Introduction to Microsoft Excel 2003 Overview Learning Objectives 1.1 Introduction to Microsoft Excel
More informationSAS Certificate Applied Statistics and SAS Programming
SAS Certificate Applied Statistics and SAS Programming SAS Certificate Applied Statistics and Advanced SAS Programming Brigham Young University Department of Statistics offers an Applied Statistics and
More informationInstitute of Actuaries of India Subject CT3 Probability and Mathematical Statistics
Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics For 2015 Examinations Aim The aim of the Probability and Mathematical Statistics subject is to provide a grounding in
More informationSaskatoon Business College Corporate Training Centre 244-6340 corporate@sbccollege.ca www.sbccollege.ca/corporate
Microsoft Certified Instructor led: Querying Microsoft SQL Server (Course 20461C) Date: October 19 23, 2015 Course Length: 5 day (8:30am 4:30pm) Course Cost: $2400 + GST (Books included) About this Course
More informationBusiness Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics.
Business Course Text Bowerman, Bruce L., Richard T. O'Connell, J. B. Orris, and Dawn C. Porter. Essentials of Business, 2nd edition, McGraw-Hill/Irwin, 2008, ISBN: 978-0-07-331988-9. Required Computing
More informationSilvermine House Steenberg Office Park, Tokai 7945 Cape Town, South Africa Telephone: +27 21 702 4666 www.spss-sa.com
SPSS-SA Silvermine House Steenberg Office Park, Tokai 7945 Cape Town, South Africa Telephone: +27 21 702 4666 www.spss-sa.com SPSS-SA Training Brochure 2009 TABLE OF CONTENTS 1 SPSS TRAINING COURSES FOCUSING
More informationFrom The Little SAS Book, Fifth Edition. Full book available for purchase here.
From The Little SAS Book, Fifth Edition. Full book available for purchase here. Acknowledgments ix Introducing SAS Software About This Book xi What s New xiv x Chapter 1 Getting Started Using SAS Software
More informationCourse Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics
Course Text Business Statistics Lind, Douglas A., Marchal, William A. and Samuel A. Wathen. Basic Statistics for Business and Economics, 7th edition, McGraw-Hill/Irwin, 2010, ISBN: 9780077384470 [This
More informationSAS Software to Fit the Generalized Linear Model
SAS Software to Fit the Generalized Linear Model Gordon Johnston, SAS Institute Inc., Cary, NC Abstract In recent years, the class of generalized linear models has gained popularity as a statistical modeling
More informationSTATISTICAL ANALYSIS WITH EXCEL COURSE OUTLINE
STATISTICAL ANALYSIS WITH EXCEL COURSE OUTLINE Perhaps Microsoft has taken pains to hide some of the most powerful tools in Excel. These add-ins tools work on top of Excel, extending its power and abilities
More informationEducation & Training Plan. Accounting Math Professional Certificate Program with Externship
Office of Professional & Continuing Education 301 OD Smith Hall Auburn, AL 36849 http://www.auburn.edu/mycaa Contact: Shavon Williams 334-844-3108; szw0063@auburn.edu Auburn University is an equal opportunity
More informationCurriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 2009-2010
Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 2009-2010 Week 1 Week 2 14.0 Students organize and describe distributions of data by using a number of different
More informationBowerman, O'Connell, Aitken Schermer, & Adcock, Business Statistics in Practice, Canadian edition
Bowerman, O'Connell, Aitken Schermer, & Adcock, Business Statistics in Practice, Canadian edition Online Learning Centre Technology Step-by-Step - Excel Microsoft Excel is a spreadsheet software application
More informationFairfield Public Schools
Mathematics Fairfield Public Schools AP Statistics AP Statistics BOE Approved 04/08/2014 1 AP STATISTICS Critical Areas of Focus AP Statistics is a rigorous course that offers advanced students an opportunity
More informationImplementing Data Models and Reports with Microsoft SQL Server 2012 MOC 10778
Implementing Data Models and Reports with Microsoft SQL Server 2012 MOC 10778 Course Outline Module 1: Introduction to Business Intelligence and Data Modeling This module provides an introduction to Business
More informationBill Burton Albert Einstein College of Medicine william.burton@einstein.yu.edu April 28, 2014 EERS: Managing the Tension Between Rigor and Resources 1
Bill Burton Albert Einstein College of Medicine william.burton@einstein.yu.edu April 28, 2014 EERS: Managing the Tension Between Rigor and Resources 1 Calculate counts, means, and standard deviations Produce
More informationCourse ID#: 1401-801-14-W 35 Hrs. Course Content
Course Content Course Description: This 5-day instructor led course provides students with the technical skills required to write basic Transact- SQL queries for Microsoft SQL Server 2014. This course
More informationDescription. Textbook. Grading. Objective
EC151.02 Statistics for Business and Economics (MWF 8:00-8:50) Instructor: Chiu Yu Ko Office: 462D, 21 Campenalla Way Phone: 2-6093 Email: kocb@bc.edu Office Hours: by appointment Description This course
More informationAdditional sources Compilation of sources: http://lrs.ed.uiuc.edu/tseportal/datacollectionmethodologies/jin-tselink/tselink.htm
Mgt 540 Research Methods Data Analysis 1 Additional sources Compilation of sources: http://lrs.ed.uiuc.edu/tseportal/datacollectionmethodologies/jin-tselink/tselink.htm http://web.utk.edu/~dap/random/order/start.htm
More informationSTATISTICA Formula Guide: Logistic Regression. Table of Contents
: Table of Contents... 1 Overview of Model... 1 Dispersion... 2 Parameterization... 3 Sigma-Restricted Model... 3 Overparameterized Model... 4 Reference Coding... 4 Model Summary (Summary Tab)... 5 Summary
More informationImproving the Performance of Data Mining Models with Data Preparation Using SAS Enterprise Miner Ricardo Galante, SAS Institute Brasil, São Paulo, SP
Improving the Performance of Data Mining Models with Data Preparation Using SAS Enterprise Miner Ricardo Galante, SAS Institute Brasil, São Paulo, SP ABSTRACT In data mining modelling, data preparation
More informationService courses for graduate students in degree programs other than the MS or PhD programs in Biostatistics.
Course Catalog In order to be assured that all prerequisites are met, students must acquire a permission number from the education coordinator prior to enrolling in any Biostatistics course. Courses are
More informationAnalyzing Research Data Using Excel
Analyzing Research Data Using Excel Fraser Health Authority, 2012 The Fraser Health Authority ( FH ) authorizes the use, reproduction and/or modification of this publication for purposes other than commercial
More informationUnit 1: Introduction to Quality Management
Unit 1: Introduction to Quality Management Definition & Dimensions of Quality Quality Control vs Quality Assurance Small-Q vs Big-Q & Evolution of Quality Movement Total Quality Management (TQM) & its
More informationEducation & Training Plan Accounting Math Professional Certificate Program with Externship
University of Texas at El Paso Professional and Public Programs 500 W. University Kelly Hall Ste. 212 & 214 El Paso, TX 79968 http://www.ppp.utep.edu/ Contact: Sylvia Monsisvais 915-747-7578 samonsisvais@utep.edu
More informationWebFOCUS RStat. RStat. Predict the Future and Make Effective Decisions Today. WebFOCUS RStat
Information Builders enables agile information solutions with business intelligence (BI) and integration technologies. WebFOCUS the most widely utilized business intelligence platform connects to any enterprise
More informationQuerying Microsoft SQL Server
Course 20461C: Querying Microsoft SQL Server Module 1: Introduction to Microsoft SQL Server 2014 This module introduces the SQL Server platform and major tools. It discusses editions, versions, tools used
More informationAV-005: Administering and Implementing a Data Warehouse with SQL Server 2014
AV-005: Administering and Implementing a Data Warehouse with SQL Server 2014 Career Details Duration 105 hours Prerequisites This career requires that you meet the following prerequisites: Working knowledge
More informationDescriptive Statistics
Descriptive Statistics Primer Descriptive statistics Central tendency Variation Relative position Relationships Calculating descriptive statistics Descriptive Statistics Purpose to describe or summarize
More informationOur Raison d'être. Identify major choice decision points. Leverage Analytical Tools and Techniques to solve problems hindering these decision points
Analytic 360 Our Raison d'être Identify major choice decision points Leverage Analytical Tools and Techniques to solve problems hindering these decision points Empowerment through Intelligence Our Suite
More informationCourse 20461C: Querying Microsoft SQL Server Duration: 35 hours
Course 20461C: Querying Microsoft SQL Server Duration: 35 hours About this Course This course is the foundation for all SQL Server-related disciplines; namely, Database Administration, Database Development
More informationQuerying Microsoft SQL Server 20461C; 5 days
Lincoln Land Community College Capital City Training Center 130 West Mason Springfield, IL 62702 217-782-7436 www.llcc.edu/cctc Querying Microsoft SQL Server 20461C; 5 days Course Description This 5-day
More information430 Statistics and Financial Mathematics for Business
Prescription: 430 Statistics and Financial Mathematics for Business Elective prescription Level 4 Credit 20 Version 2 Aim Students will be able to summarise, analyse, interpret and present data, make predictions
More informationIntroducing Microsoft SQL Server 2012 Getting Started with SQL Server Management Studio
Querying Microsoft SQL Server 2012 Microsoft Course 10774 This 5-day instructor led course provides students with the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server
More informationMTH 140 Statistics Videos
MTH 140 Statistics Videos Chapter 1 Picturing Distributions with Graphs Individuals and Variables Categorical Variables: Pie Charts and Bar Graphs Categorical Variables: Pie Charts and Bar Graphs Quantitative
More informationAn introduction to using Microsoft Excel for quantitative data analysis
Contents An introduction to using Microsoft Excel for quantitative data analysis 1 Introduction... 1 2 Why use Excel?... 2 3 Quantitative data analysis tools in Excel... 3 4 Entering your data... 6 5 Preparing
More informationSPSS Tests for Versions 9 to 13
SPSS Tests for Versions 9 to 13 Chapter 2 Descriptive Statistic (including median) Choose Analyze Descriptive statistics Frequencies... Click on variable(s) then press to move to into Variable(s): list
More informationADD-INS: ENHANCING EXCEL
CHAPTER 9 ADD-INS: ENHANCING EXCEL This chapter discusses the following topics: WHAT CAN AN ADD-IN DO? WHY USE AN ADD-IN (AND NOT JUST EXCEL MACROS/PROGRAMS)? ADD INS INSTALLED WITH EXCEL OTHER ADD-INS
More informationQuerying Microsoft SQL Server Course M20461 5 Day(s) 30:00 Hours
Área de formação Plataforma e Tecnologias de Informação Querying Microsoft SQL Introduction This 5-day instructor led course provides students with the technical skills required to write basic Transact-SQL
More information03 The full syllabus. 03 The full syllabus continued. For more information visit www.cimaglobal.com PAPER C03 FUNDAMENTALS OF BUSINESS MATHEMATICS
0 The full syllabus 0 The full syllabus continued PAPER C0 FUNDAMENTALS OF BUSINESS MATHEMATICS Syllabus overview This paper primarily deals with the tools and techniques to understand the mathematics
More informationTraining/Internship Brochure Advanced Clinical SAS Programming Full Time 6 months Program
Training/Internship Brochure Advanced Clinical SAS Programming Full Time 6 months Program Domain Clinical Data Sciences Private Limited 8-2-611/1/2, Road No 11, Banjara Hills, Hyderabad Andhra Pradesh
More informationSPSS Explore procedure
SPSS Explore procedure One useful function in SPSS is the Explore procedure, which will produce histograms, boxplots, stem-and-leaf plots and extensive descriptive statistics. To run the Explore procedure,
More informationWhite Paper. Thirsting for Insight? Quench It With 5 Data Management for Analytics Best Practices.
White Paper Thirsting for Insight? Quench It With 5 Data Management for Analytics Best Practices. Contents Data Management: Why It s So Essential... 1 The Basics of Data Preparation... 1 1: Simplify Access
More informationStatistics I for QBIC. Contents and Objectives. Chapters 1 7. Revised: August 2013
Statistics I for QBIC Text Book: Biostatistics, 10 th edition, by Daniel & Cross Contents and Objectives Chapters 1 7 Revised: August 2013 Chapter 1: Nature of Statistics (sections 1.1-1.6) Objectives
More informationUNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010
UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010 COURSE: POM 500 Statistical Analysis, ONLINE EDITION, Fall 2010 Prerequisite: Finite Math
More informationQuerying Microsoft SQL Server 2012
Course 10774A: Querying Microsoft SQL Server 2012 Length: 5 Days Language(s): English Audience(s): IT Professionals Level: 200 Technology: Microsoft SQL Server 2012 Type: Course Delivery Method: Instructor-led
More informationCourse 10774A: Querying Microsoft SQL Server 2012
Course 10774A: Querying Microsoft SQL Server 2012 About this Course This 5-day instructor led course provides students with the technical skills required to write basic Transact-SQL queries for Microsoft
More informationCourse 10774A: Querying Microsoft SQL Server 2012 Length: 5 Days Published: May 25, 2012 Language(s): English Audience(s): IT Professionals
Course 10774A: Querying Microsoft SQL Server 2012 Length: 5 Days Published: May 25, 2012 Language(s): English Audience(s): IT Professionals Overview About this Course Level: 200 Technology: Microsoft SQL
More informationE x c e l 2 0 1 0 : Data Analysis Tools Student Manual
E x c e l 2 0 1 0 : Data Analysis Tools Student Manual Excel 2010: Data Analysis Tools Chief Executive Officer, Axzo Press: Series Designer and COO: Vice President, Operations: Director of Publishing Systems
More informationData Analysis Tools. Tools for Summarizing Data
Data Analysis Tools This section of the notes is meant to introduce you to many of the tools that are provided by Excel under the Tools/Data Analysis menu item. If your computer does not have that tool
More informationAzure Machine Learning, SQL Data Mining and R
Azure Machine Learning, SQL Data Mining and R Day-by-day Agenda Prerequisites No formal prerequisites. Basic knowledge of SQL Server Data Tools, Excel and any analytical experience helps. Best of all:
More informationPractical Data Science with Azure Machine Learning, SQL Data Mining, and R
Practical Data Science with Azure Machine Learning, SQL Data Mining, and R Overview This 4-day class is the first of the two data science courses taught by Rafal Lukawiecki. Some of the topics will be
More informationMOC 20461 QUERYING MICROSOFT SQL SERVER
ONE STEP AHEAD. MOC 20461 QUERYING MICROSOFT SQL SERVER Length: 5 days Level: 300 Technology: Microsoft SQL Server Delivery Method: Instructor-led (classroom) COURSE OUTLINE Module 1: Introduction to Microsoft
More informationSimple Predictive Analytics Curtis Seare
Using Excel to Solve Business Problems: Simple Predictive Analytics Curtis Seare Copyright: Vault Analytics July 2010 Contents Section I: Background Information Why use Predictive Analytics? How to use
More information2015 Workshops for Professors
SAS Education Grow with us Offered by the SAS Global Academic Program Supporting teaching, learning and research in higher education 2015 Workshops for Professors 1 Workshops for Professors As the market
More informationSAS Education Providing knowledge through global training and certification. SAS Foundation. Kursöversikt 2010
Kursöversikt 2010 SAS Education Providing knowledge through global training and certification SAS Foundation SAS Forum 2010 och specialkurser SAS Master Class Kontaktinformation Stora Frösunda Gård Box
More informationESSENTIAL TOOL FOR ACCOUNTANTS MICROSOFT EXCEL TM JEFFERSON HASKINS CPA
ESSENTIAL TOOL FOR ACCOUNTANTS MICROSOFT EXCEL TM JEFFERSON HASKINS CPA Published by: Jefferson Haskins Inc. P.O. Box 2201 Chicago, Illinois 60690-2201 www.jeffersonhaskins.com ESSENTIAL TOOL FOR ACCOUNTANTS
More informationIntroduction to Querying & Reporting with SQL Server
1800 ULEARN (853 276) www.ddls.com.au Introduction to Querying & Reporting with SQL Server Length 5 days Price $4169.00 (inc GST) Overview This five-day instructor led course provides students with the
More informationStudy Guide for the Final Exam
Study Guide for the Final Exam When studying, remember that the computational portion of the exam will only involve new material (covered after the second midterm), that material from Exam 1 will make
More informationBiostatistics: Types of Data Analysis
Biostatistics: Types of Data Analysis Theresa A Scott, MS Vanderbilt University Department of Biostatistics theresa.scott@vanderbilt.edu http://biostat.mc.vanderbilt.edu/theresascott Theresa A Scott, MS
More informationNEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York
NEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York DEPARTMENT: Mathematics COURSE: MAT 1272/ MA 272 TITLE: DESCRIPTION: TEXT: Statistics An introduction to statistical methods and statistical
More informationTeaching Business Statistics through Problem Solving
Teaching Business Statistics through Problem Solving David M. Levine, Baruch College, CUNY with David F. Stephan, Two Bridges Instructional Technology CONTACT: davidlevine@davidlevinestatistics.com Typical
More informationAnalysing Questionnaires using Minitab (for SPSS queries contact -) Graham.Currell@uwe.ac.uk
Analysing Questionnaires using Minitab (for SPSS queries contact -) Graham.Currell@uwe.ac.uk Structure As a starting point it is useful to consider a basic questionnaire as containing three main sections:
More informationQuantitative Methods for Finance
Quantitative Methods for Finance Module 1: The Time Value of Money 1 Learning how to interpret interest rates as required rates of return, discount rates, or opportunity costs. 2 Learning how to explain
More informationCONTENTS PREFACE 1 INTRODUCTION 1 2 DATA VISUALIZATION 19
PREFACE xi 1 INTRODUCTION 1 1.1 Overview 1 1.2 Definition 1 1.3 Preparation 2 1.3.1 Overview 2 1.3.2 Accessing Tabular Data 3 1.3.3 Accessing Unstructured Data 3 1.3.4 Understanding the Variables and Observations
More informationKSTAT MINI-MANUAL. Decision Sciences 434 Kellogg Graduate School of Management
KSTAT MINI-MANUAL Decision Sciences 434 Kellogg Graduate School of Management Kstat is a set of macros added to Excel and it will enable you to do the statistics required for this course very easily. To
More informationLAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE
LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE MAT 119 STATISTICS AND ELEMENTARY ALGEBRA 5 Lecture Hours, 2 Lab Hours, 3 Credits Pre-
More informationUsing Excel and VBA CHANDAN SENGUPTA SECOND EDITION. WILEY John Wiley & Sons, Inc.
Using Excel and VBA SECOND EDITION CHANDAN SENGUPTA WILEY John Wiley & Sons, Inc. Contents About This Book CHAPTER 1 Introduction to Hnancial Analysis and Modeling 1 Steps in Creating a Model 5 How This
More informationMOC 20461C: Querying Microsoft SQL Server. Course Overview
MOC 20461C: Querying Microsoft SQL Server Course Overview This course provides students with the knowledge and skills to query Microsoft SQL Server. Students will learn about T-SQL querying, SQL Server
More informationFigure 1. An embedded chart on a worksheet.
8. Excel Charts and Analysis ToolPak Charts, also known as graphs, have been an integral part of spreadsheets since the early days of Lotus 1-2-3. Charting features have improved significantly over the
More informationSTAT 360 Probability and Statistics. Fall 2012
STAT 360 Probability and Statistics Fall 2012 1) General information: Crosslisted course offered as STAT 360, MATH 360 Semester: Fall 2012, Aug 20--Dec 07 Course name: Probability and Statistics Number
More informationMANAGEMENT STUDIES (MBA) DETAILED SYLLABUS FOR PART A & B PART A GENERAL PAPER ON TEACHING AND RESEARCH APTITUDE
MANAGEMENT STUDIES (MBA) DETAILED SYLLABUS FOR PART A & B PART A GENERAL PAPER ON TEACHING AND RESEARCH APTITUDE PART-B I - Managerial Economics Nature and scope of Managerial Economics. Importance of
More informationMathematics within the Psychology Curriculum
Mathematics within the Psychology Curriculum Statistical Theory and Data Handling Statistical theory and data handling as studied on the GCSE Mathematics syllabus You may have learnt about statistics and
More informationSUGI 29 Systems Architecture. Paper 223-29
Paper 223-29 SAS Add-In for Microsoft Office Leveraging SAS Throughout the Organization from Microsoft Office Jennifer Clegg, SAS Institute Inc., Cary, NC Stephen McDaniel, SAS Institute Inc., Cary, NC
More informationTake a Whirlwind Tour Around SAS 9.2 Justin Choy, SAS Institute Inc., Cary, NC
Take a Whirlwind Tour Around SAS 9.2 Justin Choy, SAS Institute Inc., Cary, NC ABSTRACT The term productivity can mean a number of different things and can be realized in a number of different ways. The
More informationWhen to use Excel. When NOT to use Excel 9/24/2014
Analyzing Quantitative Assessment Data with Excel October 2, 2014 Jeremy Penn, Ph.D. Director When to use Excel You want to quickly summarize or analyze your assessment data You want to create basic visual
More informationSimple Linear Regression Inference
Simple Linear Regression Inference 1 Inference requirements The Normality assumption of the stochastic term e is needed for inference even if it is not a OLS requirement. Therefore we have: Interpretation
More information3 The spreadsheet execution model and its consequences
Paper SP06 On the use of spreadsheets in statistical analysis Martin Gregory, Merck Serono, Darmstadt, Germany 1 Abstract While most of us use spreadsheets in our everyday work, usually for keeping track
More informationIBM SPSS Statistics 20 Part 4: Chi-Square and ANOVA
CALIFORNIA STATE UNIVERSITY, LOS ANGELES INFORMATION TECHNOLOGY SERVICES IBM SPSS Statistics 20 Part 4: Chi-Square and ANOVA Summer 2013, Version 2.0 Table of Contents Introduction...2 Downloading the
More informationImplications of Big Data for Statistics Instruction 17 Nov 2013
Implications of Big Data for Statistics Instruction 17 Nov 2013 Implications of Big Data for Statistics Instruction Mark L. Berenson Montclair State University MSMESB Mini Conference DSI Baltimore November
More informationQuerying Microsoft SQL Server 2012
Querying Microsoft SQL Server 2012 MOC 10774 About this Course This 5-day instructor led course provides students with the technical skills required to write basic Transact-SQL queries for Microsoft SQL
More informationMATH BOOK OF PROBLEMS SERIES. New from Pearson Custom Publishing!
MATH BOOK OF PROBLEMS SERIES New from Pearson Custom Publishing! The Math Book of Problems Series is a database of math problems for the following courses: Pre-algebra Algebra Pre-calculus Calculus Statistics
More informationDirections for using SPSS
Directions for using SPSS Table of Contents Connecting and Working with Files 1. Accessing SPSS... 2 2. Transferring Files to N:\drive or your computer... 3 3. Importing Data from Another File Format...
More informationData exploration with Microsoft Excel: analysing more than one variable
Data exploration with Microsoft Excel: analysing more than one variable Contents 1 Introduction... 1 2 Comparing different groups or different variables... 2 3 Exploring the association between categorical
More informationDATA ANALYSIS. QEM Network HBCU-UP Fundamentals of Education Research Workshop Gerunda B. Hughes, Ph.D. Howard University
DATA ANALYSIS QEM Network HBCU-UP Fundamentals of Education Research Workshop Gerunda B. Hughes, Ph.D. Howard University Quantitative Research What is Statistics? Statistics (as a subject) is the science
More informationInternational College of Economics and Finance Syllabus Probability Theory and Introductory Statistics
International College of Economics and Finance Syllabus Probability Theory and Introductory Statistics Lecturer: Mikhail Zhitlukhin. 1. Course description Probability Theory and Introductory Statistics
More informationCreate Custom Tables in No Time
SPSS Custom Tables 17.0 Create Custom Tables in No Time Easily analyze and communicate your results with SPSS Custom Tables, an add-on module for the SPSS Statistics product line Share analytical results
More informationPELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050
PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050 Class Hours: 2.0 Credit Hours: 3.0 Laboratory Hours: 2.0 Date Revised: Fall 2013 Catalog Course Description: Descriptive
More informationSTA-201-TE. 5. Measures of relationship: correlation (5%) Correlation coefficient; Pearson r; correlation and causation; proportion of common variance
Principles of Statistics STA-201-TE This TECEP is an introduction to descriptive and inferential statistics. Topics include: measures of central tendency, variability, correlation, regression, hypothesis
More informationSPSS Introduction. Yi Li
SPSS Introduction Yi Li Note: The report is based on the websites below http://glimo.vub.ac.be/downloads/eng_spss_basic.pdf http://academic.udayton.edu/gregelvers/psy216/spss http://www.nursing.ucdenver.edu/pdf/factoranalysishowto.pdf
More informationSAS Analyst for Windows Tutorial
Updated: August 2012 Table of Contents Section 1: Introduction... 3 1.1 About this Document... 3 1.2 Introduction to Version 8 of SAS... 3 Section 2: An Overview of SAS V.8 for Windows... 3 2.1 Navigating
More informationLAB 4 INSTRUCTIONS CONFIDENCE INTERVALS AND HYPOTHESIS TESTING
LAB 4 INSTRUCTIONS CONFIDENCE INTERVALS AND HYPOTHESIS TESTING In this lab you will explore the concept of a confidence interval and hypothesis testing through a simulation problem in engineering setting.
More informationBusiness Analytics Course
Business Analytics Course IMS Proschool offers Business Analytics course & training in Mumbai, Pune, Thane, Bengaluru, Delhi, Thane, Hyderabad, Chennai, Kolkata, Ahmedabad & Online virtual classes with
More informationProgramme Guide PGDCDM
Post Graduate Diploma in Clinical Data Management and Biostatistics with SAS Programme Guide PGDCDM School of Health Sciences Indira Gandhi National Open University WHY THIS PROGRAMME? The Post Graduate
More informationModule 1: Getting Started with Databases and Transact-SQL in SQL Server 2008
Course 2778A: Writing Queries Using Microsoft SQL Server 2008 Transact-SQL About this Course This 3-day instructor led course provides students with the technical skills required to write basic Transact-
More informationPredictive modelling around the world 28.11.13
Predictive modelling around the world 28.11.13 Agenda Why this presentation is really interesting Introduction to predictive modelling Case studies Conclusions Why this presentation is really interesting
More informationData analysis process
Data analysis process Data collection and preparation Collect data Prepare codebook Set up structure of data Enter data Screen data for errors Exploration of data Descriptive Statistics Graphs Analysis
More informationSection Format Day Begin End Building Rm# Instructor. 001 Lecture Tue 6:45 PM 8:40 PM Silver 401 Ballerini
NEW YORK UNIVERSITY ROBERT F. WAGNER GRADUATE SCHOOL OF PUBLIC SERVICE Course Syllabus Spring 2016 Statistical Methods for Public, Nonprofit, and Health Management Section Format Day Begin End Building
More information