DOCSLIB.ORG

Data Analytics (DAT)

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Data Analytics (DAT) Data Analytics (DAT) DAT 7723. Querying SQL. 0.0 Hours. Class-440.0. Clinical-0.0. Lab-0.0. Data Analytics (DAT) Work-0.0 Learning SQL can be one of the greatest career decisions you make. DAT 7711. Database Fundamentals. 0.0 Hours. Class-440.0. Between the potential salary, no longer relying on others to give you Clinical-0.0. Lab-0.0. Work-0.0 information, and being able to ask any question about your business, CPCC login required. Understanding how relational databases are learning SQL enables you to do so much more than you have done designed for maximum data manipulation is the first step in the field of previously. Simply put, SQL is the language you use to interact with a data management and analytics. You will learn core database concepts, database and is the most sought after skill set regardless of your role. and how to create database objects and manipulate data. Maps to Corequisites: Take DAT 7711 with a minimum grade of S Microsoft Technology Associate exam #98-364. DAT 7724. Developing SQL. 0.0 Hours. Class-440.0. Clinical-0.0. DAT 7712. Business Intelligence Fundamentals. 0.0 Hours. Lab-0.0. Work-0.0 Class-440.0. Clinical-0.0. Lab-0.0. Work-0.0 This class is intended for individuals who have completed Querying Discover the best practices to access and analyze data while gaining SQL and who are ready to move beyond the fundamentals of querying the confidence to dive right into your processes to improve and optimize and advance their skills in programmability, data definition (DDL) and business decisions and performance. This course provides the foundation performance tuning. that will allow you to understand data warehousing, BI processes and Corequisites: Take DAT 7723 minimum grade S techniques and how to develop skills to consume and analyze data. The DAT 7726. Hadoop Base Programming. 0.0 Hours. Class-440.0. class will use available tools such as Power BI and Tableau Public. Clinical-0.0. Lab-0.0. Work-0.0 DAT 7713. Introduction to Statistics and Analytics. 0.0 Hours. Hadoop has emerged as the most popular framework in the Big Data Class-440.0. Clinical-0.0. Lab-0.0. Work-0.0 Platform. Learning to program and develop in Hadoop can lead to lucrative CPCC login required. Advanced Excel skills required. Understanding the career opportunities in the Big Data realm. For the enterprise, Hadoop various statistical techniques to analyze data is the foundation to any allows businesses to find answers to questions they don't even know to business intelligence solution. When statistical principles are correctly ask, providing insights into operational aspects, driving new product ideas, applied, statistical analyses tend to produce accurate results. In this class, and in generating targeted ads for consumers. Enterprises are finding that you will use Excel with practice files, templates, data sets, and sample adopting Big Data concepts with Hadoop has a very positive influence to models to apply statistical techniques used in finance, marketing, quality, their bottom line. science and any other industry that uses data. DAT 7727. SQL Server Integration Services (SSIS). 0.0 Hours. DAT 7714. Excel VBA Programming. 0.0 Hours. Class-440.0. Class-440.0. Clinical-0.0. Lab-0.0. Work-0.0 Clinical-0.0. Lab-0.0. Work-0.0 The complexity and importance of the data integration system, or ETL, in Excel VBA is commonly used in high finance and frequency trading a data warehouse project is often underestimated, and the consequences applications for creating and validating financial models. In this class, of poorly implemented ETL processes inevitably lead to high maintenance you will learn how to make user-centric, intuitive and interactive analytic cost, low reliability and even failure of the project. In this class, you will dashboards and reports using Visual Basic. Also learn implementation of learn data integration concepts in the context of a data warehouse. statistical models, and impactful presentation of results. DAT 7728. Sql Server Database Administration Basic. 0.0 Hours. DAT 7720. SAS Programming. 0.0 Hours. Class-440.0. Clinical-0.0. Class-440.0. Clinical-0.0. Lab-0.0. Work-0.0 Lab-0.0. Work-0.0 The primary audience for this course is individuals who administer and Advancing your analytical skills with SAS, provides you the opportunity maintain SQL Server databases. These individuals perform database of learning a tool that is both versatile and powerful enough to meet your administration and maintenance as their primary area of responsibility, or needs in data analyses. Today, there are many job listings that require work in environments where databases play a key role in their primary job. a variety of SAS expertise and is easy to learn with its GUI interface DAT 7730. Data Visualization and Storytelling. 0.0 Hours. Class-440.0. and versatility. Whether you are new to analytics or not; SAS allows Clinical-0.0. Lab-0.0. Work-0.0 data files created by SPSS, Excel, Minitab, Stata, Systat, and others to CPCC login and textbook required. Required: DAT-7713 and DAT-7711 In be incorporated directly or through file conversion. This class, will help today's world, data is omnipresent and most organizations are presented advance your career in analytics by adding a new tool to your "toolbox" of with billions of data points every morning. Good analysis parses these skills. numerical outputs into an understanding of the organization or process DAT 7721. SAS Base Programming. 0.0 Hours. Class-440.0. and turns the raw numbers into a story about the performance. The Clinical-0.0. Lab-0.0. Work-0.0 challenge is to interpret and communicate these stories correctly. This SAS is the leader in analytics helping you turn your data into better course provides the fundamentals on how to design visualizations decisions. In this class, you will learn the tools to be able to navigate the properly as well as provide techniques on how to communicate the SAS Studio programming environment, import various types of data sets analysis effectively. With data visualization you can help your business and begin with analysis of the data imported. partners, peers, and managers make informed decisions with a blend of dimensions, color, and visual masterpieces. The class will use available DAT 7722. SAS Advanced Programming. 0.0 Hours. Class-440.0. tools such as Excel, Power BI, and Tableau. Clinical-0.0. Lab-0.0. Work-0.0 Corequisites: Take DAT 7713 DAT 7711 Advancing your analytical skills in SAS better prepares you in the dynamic field of big data and statistics. This course looks at the components of Macros and SQL. It will highlight the components of the SAS macro facility and how to design, write, and debug macro systems and introduces you how to process SAS data using Structured Query Language (SQL). 1 Data Analytics (DAT) DAT 7731. SQL Server Reporting Services (SSRS). 0.0 Hours. DAT 7742. Python Programming for Data Science. 0.0 Hours. Class-440.0. Clinical-0.0. Lab-0.0. Work-0.0 Class-440.0. Clinical-0.0. Lab-0.0. Work-0.0 All types of users across the company need to have easy access to This is a hands-on course with practical case studies for manipulating, informative and intuitive reports that combine data from many sources processing, cleaning, modeling and crunching datasets in Python. Go from throughout the organization. In this class, you will learn how to make messy, unstructured artifacts stored in SQL and NoSQL databases to a effective business decision using Microsoft SQL Server Reporting neat, well-organized dataset. The class is designed for analysts new to Services (SSRS), in conjunction with SQL server database. If you are a Python and for Python programmers new to data science. current Dynamics ERP user, you can also use SSRS to your advantage combining the benefits of a centrally-managed reporting system. DAT 7732. Tableau Basic. 0.0 Hours. Class-440.0. Clinical-0.0. Lab-0.0. Work-0.0 Learn to create new data analysis and reporting with a product that makes databases and spreadsheets understandable. This class is designed as an introduction to Tableau that can help you see and understand your data in order to solve problems. Enjoy analyzing data faster and easier with the Tableau Software. Strong Excel skills are preferred; SQL recommended. DAT 7733. Analyzing Data with Tableau. 0.0 Hours. Class-440.0. Clinical-0.0. Lab-0.0. Work-0.0 Gain a competitive advantage by learning how to produce interactive data visualization reports to support business decision making. This class is designed for the professional who has a solid working experience and wants to take it to the next level. DAT 7734. Power BI Basic. 0.0 Hours. Class-440.0. Clinical-0.0. Lab-0.0. Work-0.0 If you are working on Six Sigma projects or analyzing data, then you are ready to create stunning reports and visualization with Microsoft's NEW Power BI Desktop! This course will provide an overview of Power BI, a popular cloud based Business Intelligence platform for performing sophisticated data integration, modeling and reporting. DAT 7735. Analyzing Data with Power BI. 0.0 Hours. Class-440.0. Clinical-0.0. Lab-0.0. Work-0.0 Vastly improve your ability to effectively derive business insights from data through Power BI. This class is intended for data scientists, Excel pros or data analysts, who are tasked with creating analytical or reporting solutions that are impactful, relevant and can effectively support business decision making.
Load more

Recommended publications
  • Statistics and GIS Assistance Help with Statistics
    Statistics and GIS assistance An arrangement for help and advice with regard to statistics and GIS is now in operation, principally for Master’s students. How do you seek advice? 1. The users, i.e. students at INA, make direct contact with the person whom they think can help and arrange a time for consultation. Remember to be well prepared! 2. Doctoral students and postdocs register the time used in Agresso (if you have questions about this contact Gunnar Jensen). Help with statistics Research scientist Even Bergseng Discipline: Forest economy, forest policies, forest models Statistical expertise: Regression analysis, models with random and fixed effects, controlled/truncated data, some time series modelling, parametric and non-parametric effectiveness analyses Software: Stata, Excel Postdoc. Ole Martin Bollandsås Discipline: Forest production, forest inventory Statistics expertise: Regression analysis, sampling Software: SAS, R Associate Professor Sjur Baardsen Discipline: Econometric analysis of markets in the forest sector Statistical expertise: General, although somewhat “rusty”, expertise in many econometric topics (all-rounder) Software: Shazam, Frontier Associate Professor Terje Gobakken Discipline: GIS og long-term predictions Statistical expertise: Regression analysis, ANOVA and PLS regression Software: SAS, R Ph.D. Student Espen Halvorsen Discipline: Forest economy, forest management planning Statistical expertise: OLS, GLS, hypothesis testing, autocorrelation, ANOVA, categorical data, GLM, ANOVA Software: (partly) Shazam, Minitab og JMP Ph.D. Student Jan Vidar Haukeland Discipline: Nature based tourism Statistical expertise: Regression and factor analysis Software: SPSS Associate Professor Olav Høibø Discipline: Wood technology Statistical expertise: Planning of experiments, regression analysis (linear and non-linear), ANOVA, random and non-random effects, categorical data, multivariate analysis Software: R, JMP, Unscrambler, some SAS Ph.D.
    [Show full text]
  • Insight MFR By
    Manufacturers, Publishers and Suppliers by Product Category 11/6/2017 10/100 Hubs & Switches ASCEND COMMUNICATIONS CIS SECURE COMPUTING INC DIGIUM GEAR HEAD 1 TRIPPLITE ASUS Cisco Press D‐LINK SYSTEMS GEFEN 1VISION SOFTWARE ATEN TECHNOLOGY CISCO SYSTEMS DUALCOMM TECHNOLOGY, INC. GEIST 3COM ATLAS SOUND CLEAR CUBE DYCONN GEOVISION INC. 4XEM CORP. ATLONA CLEARSOUNDS DYNEX PRODUCTS GIGAFAST 8E6 TECHNOLOGIES ATTO TECHNOLOGY CNET TECHNOLOGY EATON GIGAMON SYSTEMS LLC AAXEON TECHNOLOGIES LLC. AUDIOCODES, INC. CODE GREEN NETWORKS E‐CORPORATEGIFTS.COM, INC. GLOBAL MARKETING ACCELL AUDIOVOX CODI INC EDGECORE GOLDENRAM ACCELLION AVAYA COMMAND COMMUNICATIONS EDITSHARE LLC GREAT BAY SOFTWARE INC. ACER AMERICA AVENVIEW CORP COMMUNICATION DEVICES INC. EMC GRIFFIN TECHNOLOGY ACTI CORPORATION AVOCENT COMNET ENDACE USA H3C Technology ADAPTEC AVOCENT‐EMERSON COMPELLENT ENGENIUS HALL RESEARCH ADC KENTROX AVTECH CORPORATION COMPREHENSIVE CABLE ENTERASYS NETWORKS HAVIS SHIELD ADC TELECOMMUNICATIONS AXIOM MEMORY COMPU‐CALL, INC EPIPHAN SYSTEMS HAWKING TECHNOLOGY ADDERTECHNOLOGY AXIS COMMUNICATIONS COMPUTER LAB EQUINOX SYSTEMS HERITAGE TRAVELWARE ADD‐ON COMPUTER PERIPHERALS AZIO CORPORATION COMPUTERLINKS ETHERNET DIRECT HEWLETT PACKARD ENTERPRISE ADDON STORE B & B ELECTRONICS COMTROL ETHERWAN HIKVISION DIGITAL TECHNOLOGY CO. LT ADESSO BELDEN CONNECTGEAR EVANS CONSOLES HITACHI ADTRAN BELKIN COMPONENTS CONNECTPRO EVGA.COM HITACHI DATA SYSTEMS ADVANTECH AUTOMATION CORP. BIDUL & CO CONSTANT TECHNOLOGIES INC Exablaze HOO TOO INC AEROHIVE NETWORKS BLACK BOX COOL GEAR EXACQ TECHNOLOGIES INC HP AJA VIDEO SYSTEMS BLACKMAGIC DESIGN USA CP TECHNOLOGIES EXFO INC HP INC ALCATEL BLADE NETWORK TECHNOLOGIES CPS EXTREME NETWORKS HUAWEI ALCATEL LUCENT BLONDER TONGUE LABORATORIES CREATIVE LABS EXTRON HUAWEI SYMANTEC TECHNOLOGIES ALLIED TELESIS BLUE COAT SYSTEMS CRESTRON ELECTRONICS F5 NETWORKS IBM ALLOY COMPUTER PRODUCTS LLC BOSCH SECURITY CTC UNION TECHNOLOGIES CO FELLOWES ICOMTECH INC ALTINEX, INC.
    [Show full text]
  • Statistical Softwares: Introduction Team Maarten Jansen 1
    Statistical softwares: introduction Team Maarten Jansen 1. Maarten Jansen and Toufik Zahaf 2. Teaching assistant: Bastien Marquis http://homepages.ulb.ac.be/˜majansen/teaching/STAT-F-413/ c Maarten Jansen STAT-F-413 — Statistical softwares: introduction p.1 Objectives Forbidden data • Retrieve and analyse your own real data Not allowed: • Use at least two different software systems and two different types of analyses (typ- • Time series: time dependence of your data is allowed (longitudinal), but ically ANOVA and regression, but others are equally welcome: principle component analysis etc.) time must not be the dominant explanatory variable • Find your data • Birth weights of babies 1. at a company, hospital, banks, insurance company: this option is by far the best. If you get data, then also try to get to know what sort of business questions the company/organization is trying to answer: use the data to respond to the questions. 2. Otherwise (but less preferable) on the internet, e.g.: government data (such as statbel.gov.be) This option has the drawback that it is harder to be original and harder to focus on specific business questions. The data should be original, in the sense that they must not be popular in scien- tific papers or textbooks as illustration of a method. – Number of births per communality – Macro-economical data; per country, european, regional, provinces etc. – Socio-economical data c Maarten Jansen STAT-F-413 — Statistical softwares: introduction p.2 c Maarten Jansen STAT-F-413 — Statistical softwares: introduction p.3 Why not time-series Note on the data size: large enough..
    [Show full text]
  • Spatial Tools for Econometric and Exploratory Analysis
    Spatial Tools for Econometric and Exploratory Analysis Michael F. Goodchild University of California, Santa Barbara Luc Anselin University of Illinois at Urbana-Champaign http://csiss.org Outline ¾A Quick Tour of a GIS ¾Spatial Data Analysis ¾CSISS Tools Spatial Data Analysis Principles: 1. Integration ¾Linking data through common location the layer cake ¾Linking processes across disciplines spatially explicit processes e.g. economic and social processes interact at common locations 2. Spatial analysis ¾Social data collected in cross- section longitudinal data are difficult to construct ¾Cross-sectional perspectives are rich in context can never confirm process though they can perhaps falsify useful source of hypotheses, insights 3. Spatially explicit theory ¾Theory that is not invariant under relocation ¾Spatial concepts (location, distance, adjacency) appear explicitly ¾Can spatial concepts ever explain, or are they always surrogates for something else? 4. Place-based analysis ¾Nomothetic - search for general principles ¾Idiographic - description of unique properties of places ¾An old debate in Geography The Earth's surface ¾Uncontrolled variance ¾There is no average place ¾Results depend explicitly on bounds ¾Places as samples ¾Consider the model: y = a + bx Tract Pop Location Shape 1 3786 x,y 2 2966 x,y 3 5001 x,y 4 4983 x,y 5 4130 x,y 6 3229 x,y 7 4086 x,y 8 3979 x,y Iij = EiAjf (dij) / ΣkAkf (dik) Aj d Ei ij Types of Spatial Data Analysis ¾ Exploratory Spatial Data Analysis • exploring the structure of spatial data • determining
    [Show full text]
  • APPENDICES Appendix A
    APPENDICES Appendix A Analysis of Industry Crude and Product Oil Spills on the Alaska North Slope and Estimates of Potential Spills for the Liberty Development Project _____________________________________________________ Appendix A. Analysis of Industry Crude and Product Oil Spills on the Alaska North Slope and Estimates of Potential Spills for the Liberty Development Project July 2, 2007 SUBMITTED TO: BP Exploration (Alaska) Inc. P.O. Box 196612 Anchorage, Alaska 99519-6612 SUBMITTED BY: Everest Consulting Associates 15 North Main Street Cranbury, NJ 08512 __________________________________________________ Appendix A. Analysis of Industry Crude and Product Oil Spills on the Alaska North Slope and Estimates of Potential Spills for the Liberty Development Project Table of Contents: Summary ............................................................................................................................................... 1 Introduction ........................................................................................................................................... 4 A brief description of Typical ANS Oil and Gas facilities.................................................................... 5 Types of spills ....................................................................................................................................... 6 The spill database .................................................................................................................................. 7 -Updating the oil spill database
    [Show full text]
  • TMS320C6652 and TMS320C6654 Fixed and Floating-Point Digital Signal Processor Datasheet
    Product Order Technical Tools & Support & Folder Now Documents Software Community TMS320C6652, TMS320C6654 SPRS841E –MARCH 2012–REVISED OCTOBER 2019 TMS320C6652 and TMS320C6654 Fixed and Floating-Point Digital Signal Processor 1 Device Overview 1.1 Features 1 • One TMS320C66x DSP Core Subsystem – 32-Bit DDR3 Interface (CorePac) – DDR3-1066 – C66x Fixed- and Floating-Point CPU Core: Up – 4GB of Addressable Memory Space to 850 MHz for C6654 and 600 MHz for C6652 – 16-Bit EMIF • Multicore Shared Memory Controller (MSMC) – Universal Parallel Port – Memory Protection Unit for DDR3_EMIF – Two Channels of 8 Bits or 16 Bits Each • Multicore Navigator – Supports SDR and DDR Transfers – 8192 Multipurpose Hardware Queues with – Two UART Interfaces Queue Manager – Two Multichannel Buffered Serial Ports – Packet-Based DMA for Zero-Overhead (McBSPs) Transfers – I2C Interface • Peripherals – 32 GPIO Pins – PCIe Gen2 (C6654 Only) – SPI Interface – Single Port Supporting 1 or 2 Lanes – Semaphore Module – Supports up to 5 GBaud Per Lane – Eight 64-Bit Timers – Gigabit Ethernet (GbE) Subsystem (C6654 – Two On-Chip PLLs Only) • Commercial Temperature: – One SGMII Port (C6654 Only) – 0°C to 85°C – Supports 10-, 100-, and 1000-Mbps • Extended Temperature: Operation – –40°C to 100°C 1.2 Applications • Power Protection Systems • Medical Imaging • Avionics and Defense • Other Embedded Systems • Currency Inspection and Machine Vision • Industrial Transportation Systems 1.3 Description The C6654 and C6652 are high performance fixed- and floating-point DSPs that are based on TI's KeyStone multicore architecture. Incorporating the new and innovative C66x DSP core, this device can run at a core speed of up to 850 MHz for C6654 and 600 MHz for C6652.
    [Show full text]
  • Pedro Valero Mora Universitat De València I Have Worn Many Hats
    DYNAMIC INTERACTIVE GRAPHICS PEDRO VALERO MORA UNIVERSITAT DE VALÈNCIA I HAVE WORN MANY HATS • Degree in Psycology • Phd on Human Computer Interaction (HCI): Formal Methods for Evaluation of Interfaces • Teaching Statistics in the Department of Psychology since1990, Full Professor (Catedrático) in 2012 • Research interest in Statistical Graphics, Computational Statistics • Comercial Packages (1995-) Statview, DataDesk, JMP, Systat, SPSS (of course) • Non Comercial 1998- Programming in Lisp-Stat, contributor to ViSta (free statistical package) • Book on Interactive Dynamic Graphics 2006 (with Forrest Young and Michael Friendly). Wiley • Editor of two special issues of the Journal of Statistical Software (User interfaces for R and the Health of Lisp-Stat) • Papers, conferences, seminars, etc. DYNAMIC-INTERACTIVE GRAPHICS • Working on this topic since mid 90s • Other similar topics are visualization, computer graphics, etc. • They are converging in the last few years • I see three periods in DIG • Special hardware • Desktop computers • The internet...and beyond • This presentation will make a review of the History of DIG and will draw lessons from its evolution 1. THE SPECIAL HARDWARE PERIOD • Tukey's Prim 9 • Tukey was not the only one, in 1988 a book summarized the experiences of many researchers on this topic • Lesson#1: Hire a genius and give him unlimited resources, it always works • Or not... • Great ideas but for limited audience, not only because the cost but also the complexity… 2. DESKTOP COMPUTERS • About 1990, the audience augments...macintosh users • Many things only possible previously for people with deep pockets were now possible for…the price of a Mac • Not cheap but affordable • Several packages with a graphical user interface: • Commercial: Statview, DataDesk, SuperANOVA (yes super), JMP, Systat… • Non Commercial: Lisp-Stat, ViSta, XGobi, MANET..
    [Show full text]
  • The R Project for Statistical Computing a Free Software Environment For
    The R Project for Statistical Computing A free software environment for statistical computing and graphics that runs on a wide variety of UNIX platforms, Windows and MacOS OpenStat OpenStat is a general-purpose statistics package that you can download and install for free. It was originally written as an aid in the teaching of statistics to students enrolled in a social science program. It has been expanded to provide procedures useful in a wide variety of disciplines. It has a similar interface to SPSS SOFA A basic, user-friendly, open-source statistics, analysis, and reporting package PSPP PSPP is a program for statistical analysis of sampled data. It is a free replacement for the proprietary program SPSS, and appears very similar to it with a few exceptions TANAGRA A free, open-source, easy to use data-mining package PAST PAST is a package created with the palaeontologist in mind but has been adopted by users in other disciplines. It’s easy to use and includes a large selection of common statistical, plotting and modelling functions AnSWR AnSWR is a software system for coordinating and conducting large-scale, team-based analysis projects that integrate qualitative and quantitative techniques MIX An Excel-based tool for meta-analysis Free Statistical Software This page links to free software packages that you can download and install on your computer from StatPages.org Free Statistical Software This page links to free software packages that you can download and install on your computer from freestatistics.info Free Software Information and links from the Resources for Methods in Evaluation and Social Research site You can sort the table below by clicking on the column names.
    [Show full text]
  • Prehistoric Subsistence on the Coast of North Carolina: an Archaeobotanical Study
    Prehistoric Subsistence on the Coast of North Carolina: An Archaeobotanical Study Kimberly A. Schaefer A dissertation submitted to the faculty of the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Anthropology. Chapel Hill 2011 Approved by: C. Margaret Scarry Vincas P. Steponaitis Dale L. Hutchinson R. P. Stephen Davis, Jr . Brett H. Riggs UMI Number: 3477598 All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is dependent on the quality of the copy submitted. In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if material had to be removed, a note will indicate the deletion. UMI 3477598 Copyright 2011 by ProQuest LLC. All rights reserved. This edition of the work is protected against unauthorized copying under Title 17, United States Code. ProQuest LLC. 789 East Eisenhower Parkway P.O. Box 1346 Ann Arbor, MI 48106 - 1346 © 2011 Kimberly A. Schaefer ALL RIGHTS RESERVED. ii Abstract Kimberly A. Schaefer Prehistoric Subsistence on the Coast of North Carolina: An Archaeobotanical Study (Under the direction of C. Margaret Scarry.) When European settlers first arrived on the coast of North Carolina, they encountered Native Americans who they described as living in permanent villages and pursuing a mixture of hunting, fishing, and farming. Very little is known of the subsistence practices of people in the area before the arrival of Europeans, however. My dissertation seeks to help rectify this by increasing our knowledge of plant use on the coast during prehistory.
    [Show full text]
  • Recent Statistical Software
    PRODUCT LISTING Recent Statistical Software The following infonnation is from press releases or other material provided by publishers. DOS SYSTAT Version 5.0 Documentation for DOS SYSTAT 5.0 is entirely re­ SYSTAT, Inc., announces the release ofSYSTAT Ver­ written and is in four paperback manuals-Getting Staned, sion 5.0, a comprehensive statistical analysis, data man­ Data, Graphics, and Statistics. Each chapter introduces agement, and graphics software package for ffiM PCIATs the statistical concepts behind the procedure, with step­ and DOS-compatible systems with 640K RAM and a by-step instructions and examples. Tips and shortcuts give hard disk. hints that make new users productive quickly. SYSTAT Version 5.0 integrates graphics and analysis SYSTAT Version 5.0 requires an ffiM-eompatible sys­ procedures through its menu-driven interface. New pull­ tem running MS/PC-DOS 3.0 or higher, with 640K RAM down hierarchical menus organize procedures intuitively, and at least a 20MB hard disk. SYSTAT supports all com­ with a command window available at any time should the mon video displays and popular hard-eopy devices such user wish to edit commands. Context-sensitive help is as the HP Laserjet, ffiM and HP plotters, Epson, Toshiba, available throughout. All graphics procedures support and other printers. DOS SYSTAT Version 5.0 costs $895. color output, with default settings fully controllable by Current users ofSYSTAT on DOS systems may upgrade the user. to Version 5.0 for $195. In addition to standard graphs, plots, bar charts, histo­ For more infonnation, contact SYSTAT, Inc., 1800 grams, and scatterplots, DOS SYSTAT 5.0 features Sherman Ave., Suite 801, Evanston, IL60201 (phone: 708­ graphs rarely found in other commercial packages.
    [Show full text]
  • Wilkinson's Tests and Econometric Software
    Journal of Economic and Social Measurement 29 (2004) 261–270 261 IOS Press Wilkinson’s tests and econometric software B.D. McCullough Department of Decision Sciences, Drexel University, Philadelphia, PA 19104, USA E-mail: [email protected] The Wilkinson Tests, entry-level tests for assessing the numerical accuracy of statistical computations, have been applied to statistical software packages. Some software developers, having failed these tests, have corrected deficiencies in subsequent versions. Thus these tests have had a meliorative impact on the state of statistical software. These same tests are applied to several econometrics packages. Many deficiencies are noted. Keywords: Numerical accuracy, software reliability 1. Introduction The primary purpose of econometric software is to crunch numbers. Regrettably, the primary consideration in evaluating econometric software is not how well the software fulfills its primary purpose. What does matter is how easy it is to get an answer out of the package; whether the answer is accurate is of almost no impor- tance. Reviews of econometric software typically make no mention whatsoever of accuracy, though Vinod [14,15], Veall [13], McCullough [7,8], and MacKenzie [5] are exceptions. In part, this lack of benchmarking during reviews may be attributed to the fact that, until quite recently, no one ever collected the various benchmarks in a single place (see the NIST StRD at www.nist.gov/itl/div898/strd). A reviewer may well have been aware of a few scattered benchmarks, but including only a few benchmarks is hardly worth the effort. This view is supported by the fact that while the statistics profession has a long history of concern with the reliability of its software, software reviews in statistical journals rarely mention numerical accuracy.
    [Show full text]
  • Curriculum Vitae Pin T. Ng
    CURRICULUM VITAE PIN T. NG OFFICE ADDRESS HOME ADDRESS Northern Arizona University 1234 W. Lil Ben Trl The W. A. Franke College of Business Flagstaff, AZ 86005 Flagstaff, AZ 86011-5066 Tel: (928) 522-9004 Tel: (928) 523-8726 Fax: (928) 523-7331 EMAIL URL [email protected] http://franke.nau.edu/pin-ng CITIZEN United States COMPUTER SKILLS • Statistical and Econometric Software: R, S, SAS, SPSS, STATA, SHAZAM, SYSTAT, TSP, RATS, Minitab • Operating Systems: UNIX, Window XP, Mac OS X • Programming Languages: FORTRAN, VBA, RATFOR • Others: Microsoft Office Suite, LaTeX, HTML SPECIALIZATIONS Applied Econometrics, Econometric Theory, Urban and Regional Economics, Computational Statistics, Computer Simulations, Tourism. EDUCATION • Diploma Electronics and Communication Engineering, 1979, Distinctions, Singapore Polytechnic, Singapore. • B.A. Economics (Computer Science minor), summa cum laude, 1984, University of Minnesota, Duluth, MN 55812. • Ph.D. Economics, 1989, University of Illinois, Champaign, IL 61820. 1 EXPERIENCE • Professor, August 2011 – present. • Associate Professor, August 2004 – 2011. W. A. Franke College of Business, Northern Arizona University, Flagstaff, AZ 86011-5066. • Assistant Professor, Aug 2001 – August 2004. W. A. Franke College of Business, Northern Arizona University, Flagstaff, AZ 86011-5066. • Lecturer, Aug 1997 – Aug 2001. Department of Economics, University of Illinois, Champaign, IL 61820. • Visiting Assistant Professor, Aug 1994 -- May 1995. Department of Economics, University of Illinois, Champaign, IL 61820. • Assistant Professor Aug 1989 -- May 1997. Department of Economics, University of Houston, Houston, TX 77204-5882. • Econometric Consultant Jun 1988 -- May 1989. Computing Services Office, University of Illinois, Urbana, IL 61801. • Programmer for the DRI and IMF databases Jun 1988 -- May 1989. Bureau of Economics and Business Research, University of Illinois, Champaign, IL 61820.
    [Show full text]