Theme: Statistical and Mathematical Software
15 matching courses
The skills and knowledge acquired in Microsoft Access 2007 Level 1 are sufficient to create robust relational database systems, enter, edit and delete data in database files, produce information in forms and reports and generate queries on the data. Microsoft Access 2007 Level 1 is designed for people who need to know how to create effective databases and to manipulate data to provide viable information.
Watsonia workbook tutorials. Files for the exercises are provided on CDs.
This course is part of the Scientific Computing series.
Mathematica is a software package for numerical computation, symbolic manipulation and the production of graphics from mathematical functions and data. This course is for beginners and new users of the package and describes basic concepts and use of Mathematica.
This course is part of the Scientific Computing series.
Mathematica is a software package for numerical computation, symbolic manipulation and the production of graphics from mathematical functions and data. This course examines Mathematica's graphical capabilities in more detail than the "Mathematica: Basics" course.
The Computing Service now offers an introductory course on Matlab. Various other resources are available as described below.
Matlab is a software package for numerical computation with high quality graphics facilities. This course is for beginners and new users of the package and describes basic concepts and use of Matlab, but not any other optional 'Toolboxes' available from the developers of Matlab.
Matlab is a software package for numerical computation with high quality graphics facilities. This course follows on from an earlier course entitled "Matlab: Basics".
SPSS is a powerful general purpose statistical package with high quality graphics and tabulation facilities, and a reputation for being relatively user-friendly. This course is for beginners and fairly new users of the package. Basic concepts and use of SPSS will be introduced. The main aim of the course is to give participants a foundation and some background. However statistical techniques are not covered (see note below).
SPSS is a powerful general purpose statistical package with high quality graphics and tabulation facilities, and a reputation for being relatively user-friendly. This session follows on from Part 1 and covers useful techniques and tricks. It is strongly recommended for anyone likely to use SPSS for any but the very simplest analysis of the very simplest data.
This session follows on from SPSS: Basic Parts 1 and 2 and continues to introduce useful techniques for data analysis with SPSS. Working with sensitive data types will be covered and a basic introduction to SPSS command language.
The SPSS for Windows statistical package includes a built-in Tutorial and a set of Case Studies. When SPSS is launched, the Tutorial is one of the options offered. Alternatively, it may be found under the Help menu where the Case Studies are also located.
Stata is a powerful general purpose statistical package.
This course is for beginners and fairly new users of the package. Basic concepts and use of Stata will be introduced. The main aim of the course is to give participants a foundation and some background. However statistical techniques are not covered (see note below).
The first session looks at an overview of the Stata system and getting data into Stata format and the second looks at reporting, graphing and analyses. It is strongly recommended for anyone likely to use Stata for any but the very simplest analysis of the very simplest data.
This course is for new users who have learnt how to get data into Stata, and know how to operate basic syntax having completed the Basics course or through self-study with the student version or manuals. Emphasis will be on examples of running applied analyses of regression models for continuous, binary and ordinal outcomes using standard Stata procedures. Guidance will also be provided on further addons that may be of interest.
Statistics for the Terrified is a tutorial available on the PWF PCs aimed at people who want a very basic introduction to statistical concepts and techniques. It does not cover the use of any particular software, nor any advanced or specialist topics.
This course is for new users who have learnt how to get data into R already, and know how to operate basic syntax. Emphasis will be on examples of running applied analyses of regression models for continuous, binary and ordinal outcomes using standard R procedures. Guidance will also be provided on further addons that may be of interest.