Statistical Data Analysis Training – STATA, SPSS and SmartPLS-MODELS (Project Management and Evaluation Technique)

  • Tropical Consult Africa
  • Statistical Data Analysis Training – STATA, SPSS and SmartPLS-MODELS (Project Management and Evaluation Technique)

This training program is designed to empower stakeholders at government institutions, individual, group and organization/institutions level as well as boosting stakeholder’s skills on research methods, quantitative analytical techniques, project management and analysis techniques, as well as facilitating decision making knowledge at different levels of business, projects or program management.

Program Content.

Topic One: Practical introduction to project cycle management 

Topic Two: Practical introduction to Research methodology for intervention projects 

Topic Three: Practical introduction to research tool development 

Topic Four: Practical introduction to practical project evaluation techniques 

Topic Five: Research tool pretesting relevancies and practical Reliability and factor analysis Using SPSS and STATA 

Topic Six: Database development with SPSS and STATA 

Topic Seven: Practical introduction to data management practices, Levels of data analysis, and use of statistics in decision making 

Topic Eight: Practical introduction to descriptive statistics and applications (Measures of central tendencies, Distribution and measures of Dispersion) 

Topic Nine: Practical introduction to inferential Statistics (General probability Testing / Chi test, correlations, Regression analysis)

Topic Ten: Advanced Research and project explanatory model development and interpretations with SMARTPLS.

Training Target Group

All persons involved in projects as Managers, Administrators, Analysts, officers, finance administrators/managers, Evaluation officers and experts, consultants, advisors, donors, persons in academia as University students, Tutors, Lecturers, professors, Entrepreneurs, Business owners, Marketing professionals, and Experts in various fields.

Archives

At vero eos et accusamus et iusto odio digni goikussimos ducimus qui to bonfo blanditiis praese. Ntium voluum deleniti atque.

Melbourne, Australia
(Sat - Thursday)
(10am - 05 pm)

No products in the cart.

X