Monday, May 30, 2016

TRAINING FOR SPSS AND EXCEL FOR DATA ENTRY AND ANALYSIS



TANZANIA EXPERTS IN STATISTICS AND ECONOMICS
TRAINING ON STATISTICAL DATA ANALYSIS USING SPSS
Venue: Survey Hall
Duration:  5 days (11th – 15th July, 2016)
Time: 9:00 am to 4:00 pm
 About the course:
This course provides introduction to applied statistics and SPSS for analyzing quantitative data. The training course will present modern statistical methods needed for data analysis and statistical reasoning, and will equip the leaner with knowledge of how to use SPSS for data analysis, interpretation and data presentation. Participants who have an interest in learning and picking up quantitative data analysis methods and concepts will find this course useful and applicable. 
Practical data analysis sessions will be based on publicly available data from National Bureau of Statistics.
Why the Course
Evidence based programs within National and County government circles, Non-profit making organizations, corporate organizations requires concrete knowledge in data analysis and results interpretation. It is therefore imperative that technocrats, programmers and policy makers are adequately equipped with relevant data analysis skills. 
This course is tailored to introduce statistical knowledge and prepare participants for data analysis tasks.

 Prerequisites
This course is designed with beginners in mind and assumes no prior knowledge of statistics or quantitative research background. Participants are expected to come with their own laptops.

Course Outline
Each session will include a lecture followed by a practical’s and participants will get a chance to see how data analysis is being applied in real-life scenario. 
  • Introduction to Statistics: Types of statistics, types of variables, summarizing and presenting data.
  • Introduction to SPSS: Data entry, data manipulation
  • Statistical Inferences; Hypothesis testing
  • Test statistics: parametric and non-parametric tests
  • Correlation and regression: Simple and multiple linear regressing, logistic regression

Objectives
The course will;
  • Introduce participants to SPSS as a data analysis tool.
  • Introduce survey data as a key quantitative resource for social science research;
  • Introduce basic statistics for exploratory data analysis including methods for describing and summarizing variable distributions;
  • Provide participants with a conceptual understanding of the stages involved in exploring the relationship between variables;
  • Provide essential skills of data manipulation including selecting sub-sets and recording;
  • Introduce the visual representation of variables in scatter graphs, bar charts and histograms.
  • Examine relationships between variables covering:
    • The concept of statistical significance
    • The theory and execution of a simple chi square test for relationships between categorical variables
    • How to test whether a relationship between two interval variables exists using correlation
    • How to describe relationships between variables using a statistical model based on linear regression methods
    • The interpretation of statistical results and their use in making research conclusions

Certification
Certificate of participation and completion awarded by the TESE
 For more information contact; 0789688305/0719952562/0758843606

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