About ASPM
The Africa School of Project Management (ASPM) was established in the year 2000 in Kenya as a membership based professional management organisation. The school was formed to address capacity building needs among development partners, donor organisations, Government agencies, International and private sector firms in Africa.
The school has been pivotal in capacity building in South Sudan, South Africa, Botswana, Eritrea, Ethiopia, Kenya, Uganda, Congo, Somalia, Tanzania, Burundi and Rwanda. The school has trained over 12,000 staffs who are involved in different projects and also conducted surveys, evaluations and research in different projects and businesses in Africa.
Course Objectives
Upon successful completion of this course participants should be able to:
Discuss the relevance of reliable data collection process in Research and informed decision making
Use relevant computer packages for data management and extrapolation
To introduce the concepts of monitoring and evaluation and the value of implanting it in programs/projects
To focus participant’s attention on monitoring and evaluation study designs
M&E Data Management and Analysis
Appreciate GIS software, data capture methods, analysis, data importation and mapping indicators using GIS Techniques)
Get hands on skills on SPSS & STATA
Conduct project Evaluations
Main Training Modules
Introduction to SPSS & STATA Statistics
Explain how IBM SPSS Statistics is used for basic analysis
Explain the basic steps in data analysis
Understand the primary windows in IBM SPSS Statistics
strong textUnderstand the different components of dialog boxes
Reading data
Import data from different types of file formats
Describe choices on the File menu for reading data
Read Microsoft Excel files
Read files from a Microsoft Access database
Read delimited text files
Defining Variable Properties
Describe and define variable properties in the Variable View window
Use the Define Variable Properties dialog box
Save variable properties with data in an IBM SPSS Statistics data file
Use the Variables utility to view variable properties interactively
Use the Display Data Dictionary facility and the Codebook procedure to view variable properties
Working with the Data Editor
Use features in the Data Editor
Insert, delete, and move variables and cases
Use the Split Screen view
Copy information from one dataset to another
Use the Copy Data Properties feature
Modifying data values: Recode
Use Visual Binning to reclassify values of an ordinal or scale variable
Use Recode Into a Different Variable to reclassify values of a nominal variable
Use Automatic Recode to create a numeric variable from a string variable
Modifying data values: Compute
Describe the features of Compute Variable
Create new variables with numeric expressions
Create new variables with conditional numeric expressions
Summarizing individual variables
Define levels of measurement
Use the Frequencies procedure to produce tables and charts appropriate for nominal variables
Use the Frequencies procedure to produce tables and charts appropriate for ordinal variables
Use the Frequencies and Descriptive procedure to produce tables and charts for scale variables
Describing relationships between variables
Select the appropriate procedure to summarize the relationship between two variables
Use the Crosstabs procedure to summarize the relationship between categorical variables
Use the Means procedure to summarize the relationship between a scale and a categorical variable
Selecting cases for analyses
Select cases in a data file using various methods
Describe and use the features of the Select Cases dialog box
Describe and use the features of the Split File dialog box
Creating and editing charts
Present results with charts
Use the Chart Builder to create various types of graphs
Format and edit graphs in the Chart Editor
Working in the Viewer
Navigate through the Viewer
Perform Automated Output Modification
Customize a pivot table
Create and apply a template for a pivot table
Export output to other applications
Syntax basics
Use basic syntax to automate analyses
Use the Syntax Editor environment
Create syntax
Run syntax
Edit syntax
Introduction to Geographic Information System (GIS)
Introduction to GIS Software (Quantum GIS)
Mobile GPS Field Work
Mapping M&E Indicators with Quantum GIS
Way forward After the Training
Participants will develop a work plan through the help of facilitators that stipulates application of skills acquired in improving their organizations. ASPM will monitor implementation progress after the training.
How to Register
Kindly, drop us mail at info@aspm.co.ke or apply online through the online application on the website Online Application - Africa School of Project Management