Course Overview
Now than ever before organizations are more likely to receive funding if they can demonstrate how a program performs. Hence, the demand for employees who have specialized Monitoring and Evaluation (M&E) skills. Monitoring and evaluation, therefore, is an essential function for all organizations, programmes and projects, and consequently international and public-sector organizations have for several years been investing in the creation of such structures. To meet the need for specialist knowledge in this field, the Research Department wishes to offer a course programme that provides technical skills and tools required to ensure effective monitoring of projects and programmes, and to manage the various evaluations that are part of the programming cycle.
This course aims to strengthen capacity in monitoring and evaluation for personnel in the project cycle to accurately measure outputs and outcomes of project interventions as a way of enhancing evidence-based decision-making.Learning Outcomes
- Identify the basic purposes and scope of M&E
- Differentiate between monitoring functions and evaluation functions
- Describe the functions of an M&E plan
- Identify the main components of an M&E plan
- Identify and differentiate between conceptual frameworks, results frameworks, and logic models
- Develop a comprehensive monitoring and evaluation plan
- Build project results levels
- Construct a project using logical frameworks
- Use indicators and targets to measure success
- Monitor and track performance indicators over the life of the project
Course Content
- Conduct impact evaluation
- Evaluate a project against key measures
- Collect data using mobile data collection tools
- Introduction to Project planning
- Introduction to Monitoring and Evaluation
- Monitoring and Evaluation Frameworks Components
- Monitoring and Evaluation Frameworks
- Monitoring and Evaluation Indicators
- Designing Monitoring and Evaluation Plans
- Monitoring and Evaluation Data System
- Monitoring and Evaluation Tools and Methods
- Designing baseline and endline evaluation
- Data Analysis and Report Writing
- Results Based Management
Target Group
Monitoring and evaluation specialists; project coordinators; programme managers; independent evaluators; donor staff appraising and evaluating projects and programmes; non-governmental organization officials involved in monitoring and evaluating.
Course Duration 4 Weeks
Course Delivery :
Online or virtual learning and physical for tailored made courses customized to organization needs
Training Methodology
This is an interactive training program and will consist of the following training approaches:- Lectures
- Group Discussions
- Assignments
- Case Studies & Functional Exercises
Course Evaluations and Certification
Quizzes, course projects and end of course exam assessments. A certificate of attendance will be issued to a successful participant.
Course Fees K2500Course Overview
Qualitative researchers now have the option to apply technology tools in their approach for data management and data analysis to ease the complexity of the research process. NVivo is one such powerful software for the qualitative analysis of text, audio, video, survey and social media data. The course is going to be a five-day course with an aim of providing a comprehensive overview of NVivo and an opportunity for participants to analyse qualitative data for their own projects. The course will provide an opportunity to participant to set up project in NVivo, manage and organise data, explore and conceptualise data and interrogate and visualise qualitative data.
Learning Outcomes
At the end of the course participants will have learned and practised:- Setting-up an NVivo project
- Importing data
- Creating folders
- Using case nodes
- Formatting documents for auto coding
- Using basic analysis features of NVivo
- Creating nodes, coding to nodes, audio-coding
- Reviewing and changing coding, annotations
- Memoing, and performing a basic text query.
Course Content
- Overview on qualitative data
- Introduction to NVivo for qualitative data analysis
- Data preparation, import and organisation
- Coding strategies – including appropriate uses of auto-coding
- Data exploration and familiarisation
- Use of writing and visualisation tools to reflect on data and processes
- Querying and outputting.
Target Group
This course is intended for researchers (from all disciplines):
- Working with: Qualitative data (interviews, focus groups, field notes, documents, visual and audio data)
- Who: Preferably have a background in or experience in qualitative research methodology
- Who want to: use NVivo for managing and coding their data (following general qualitative principles of content, thematic, or narrative analysis, or other similar approaches)
- Who: have no or little experience with NVivo, but who are interested in using it for research they are currently conducting.
Course Duration 1 Week
Course Delivery :
Online or virtual learning and physical for tailored made courses customized to organization needs
Training Methodology
This is an interactive training program and will consist of the following training approaches:- Lectures
- Group Discussions
- Assignments
- Case Studies & Functional Exercises
Course Evaluations and Certification
Quizzes, course projects and end of course exam assessments. A certificate of attendance will be issued to a successful participant.
Course Fees K1000
Course Overview
The course will allow the participants to master the basics of excel. The course is designed for beginners who want to learn how to create and edit spreadsheets, perform basic calculations using formulas and functions, sort, filter analyze and visualize detailed data. The course will serve as an important component for those with interest in data collection and data analysis. The course will consist of five-day one hour thirty minute sessions of learning. There are no prerequisites for this course only that the user needs a basic understanding of working with computers and windows, must have excel loaded on their computer and access to the internet.
Learning Outcomes
At the end of the short course, participants will be able to:- Understand and navigate excel.
- Create excel workbooks and worksheets
- Enter and work with data in an excel worksheet
- Use time saving features such as AutoSum, AutoFill
- Format worksheets
- Create and work with excel charts to visually present data
- Liven up their work with different fonts, colors and effects
- Set up their sheets so that it looks professional on-screen and when printed out
Course Content
- Getting to know excel,
- creating a new workbook,
- editing a workbook
- modifying a workbook
- selecting ranges
- sharing workbooks,
- filling data
- formulas and functions,
- formula referencing
- font formatting
- number formatting techniques
- applying borders, working with a worksheet, printing, page setup.
The course will be practical in content and will cover the following topics:
Target Group
- Students
- Lecturers
- Researchers
- Monitoring and Evaluation Officers
- Data Analysts
- Business Analysts
- Human Resource Officers
Course Duration 2 Weeks
Course Delivery :
Online or virtual learning and physical for tailored made courses customized to organization needs
Training Methodology
This is an interactive training program and will consist of the following training approaches:- Lectures
- Group Discussions
- Assignments
- Case Studies & Functional Exercises
Course Evaluations and Certification
Quizzes, course projects and end of course exam assessments. A certificate of attendance will be issued to a successful participant.
Course Fees K1500Course Overview
Microsoft Project management computer application/learning programme is a leading software that enables managers and individuals to achieve project outcomes faster and more efficiently. It provides basic knowledge and practical skills for successful delivery of small and medium size projects within set time frame, project budget and specifications. The use of MS Project in project management helps contain a significant amount of project information which otherwise would require several files to keep. Furthermore, the course will teach participants how to manage and control many projects for their businesses efficiently. The course will consist of two-hour sessions for five working days. There are no prerequisites for this course, only that the user their own licensed Microsoft® Project application software (2019 or later version), an understanding and basic ability to work on Microsoft® Office Suite and access to the internet.
Learning Outcomes
- Produce an initial work schedule
- Customize and schedule tasks and resources
- Identify and estimate resources for each activity
- Understand optimization and scheduling tools and techniques.
- Enter actual costs and actual durations of project activities/tasks
- Compile the schedule and resource management plans
- Track and analyze project progress during implementation
- Create customized reports
- Perform tracking and print progress reports
Course Content
- Overview of Microsoft Project
- Creating the Project Schedule
- Validating and managing the schedule
- Task relationships and critical path
- Managing Resources in a Project Plan
- Assigning Resources and Levelling
- Variance, Costs, Constraints and Deadlines
- Sorting, grouping and filtering
- Project tracking and controlling and Reporting
Target Group
- Project Managers
- Administrators
- Project planners
- Civil servants
- Data Analyst
- Business Analyst
- Individuals new to Project management
- Students of management studies
Course Duration 1 Week
Course Delivery :
Online or virtual learning and physical for tailored made courses customized to organization needs
Training Methodology
This is an interactive training program and will consist of the following training approaches:- Lectures
- Group Discussions
- Assignments
- Case Studies & Functional Exercises
Course Evaluations and Certification
Quizzes, course projects and end of course exam assessments. A certificate of attendance will be issued to a successful participant.
Course Fees K2000Course Overview
E-Views offers a wide range of features for data manipulation, statistics and econometric analysis, as well as for forecasting, simulations and analytical presentations of data. E-Views is used to estimate and run the different models for estimation and prediction. The course introduces a participant to the various techniques, and means of how to upload data and interpret results. The course aims to familiarize one with background knowledge on data analysis using E-Views. The course is designed for learners with no experience with E-Views.
Learning Outcomes
- Input and export data from excel into E-Views.
- Transform data in E-Views.
- Explain the various output windows on the program and where various results are found.
- Identify different work file series objects.
- Create histogram and graphs.
- Calculate the mean for multiple variables in a model.
- Heteroskedasticity, what it means, how to detect it and how to address it.
Course Content
- Introductory statistics
- Basics of regression analysis
- Single equation estimation
- Violations of the classical assumptions
- Regressions including dummy variables
- Descriptive statistics tests
- Non-stationarity and unit root testing
- Residual-based (Engle-Granger) co-integration
- Error correction models
- Simulation (forecasting and policy analysis)
Target Group
- Students of econometrics
- Lecturers
- Statisticians
- Engineers
- Scientists
- Researchers
- Economists
Course Duration 2 weeks
Course Delivery :
Online or virtual learning and physical for tailored made courses customized to organization needs
Training Methodology
This is an interactive training program and will consist of the following training approaches:- Lectures
- Group Discussions
- Assignments
- Case Studies & Functional Exercises
Course Evaluations and Certification
Quizzes, course projects and end of course exam assessments. A certificate of attendance will be issued to a successful participant.
Course Fees K1500Course Overview
The usage of mobile data collection tools for data management is on the rise, so is the demand for such skills. Mobile data collection tools are the main tools being in the research community. These tools include SurveyCTO, Kobo collect, Open Data Kit, and CommCare among many others. The course will serve as an important component for those with interest in questionnaire designing, research design and data collection, data analysis and many other. The course will consist of one week of physical learning. The formal prerequisites will include some basics in research.
Learning Outcomes
At the end of the short course, participants will be able to:- Create mobile data collection projects in Kobo Toolbox
- Add different types of questions including rosters
- Implement skip logic to control the flow of question items
- Implement validation logic to limit what can accepted as valid responses
- Deploy projects for mobile data collection on mobile devices
- Access and manage the collected data
Content outline, assessment plan, and certification
This course will aim to introduce participants on how to develop data collection forms in Kobo tool box for collecting data using mobile devices online and offline. The course will be practical in content and will include five modules covering the following: introduction to Kobo collect, form building both online and offline in XLS form, implement skip and validation logic, deploying the form into mobile devices, collect and upload data and viewing and downloading data. All modules will be covered physically in sessions running for 2 hours daily. Participants will engage in both formative and summative assessments in each module. The assessments will be in a form of assessment quizzes, discussions forums both offline and online activity submissions. All assessments will be marked by the course instructor and other members of the facilitation team. A combined final mark of greater than or equal to 65% will see a participant acquire a certificate of attendance.Target Group
The proposed course would appeal to students in third or fourth year, graduate students, and lecturers those with interest in questionnaire building. The course could also potentially appeal to Monitoring and Evaluation officers in government and nongovernmental sectors, research consultants (individual and firms) in the private sector. All in all, the target group in the market could include but not limited to:
- Researchers
- Monitoring and Evaluation officers
- Students
- Research Managers
Motivation
More organizations than ever before are embracing the switch from data collection using paper forms to using mobile devices. This is so due to the benefits of mobile data collection that include better data quality, speed and convenience, as well as being low cost. Kobo Toolbox is one of the best platforms being used by researchers and humanitarian organizations to develop and deploy mobile data collection forms. There is, therefore, an opportunity for us to introduce introduction to Mobile Data Collection in Kobo tool box as one of our short course on research methods.
Course Fees ZMW 1500Course Overview
The demand for soft skills in data science, analysis, and visualization is on the rise. This demand is being driven by the growing availability of informative datasets and software tools leading to increased reliance on data visualizations across many areas. Data visualization provides a powerful way to communicate data-driven findings, motivate analyses, and detect flaws. The course will serve as an important component for those with interest in research design and data collection, data analysis and visualization among many other. The course will consist of two weeks of online learning. The course assumes only basic knowledge of data management in R, STATA or SPSS. Hence, formal prerequisites will include introductory level knowledge in R, STATA or SPSS.
Learning Outcomes
At the end of the short course, participants will be able to:- Understand fundamental of data analysis and visualization
- Frame research questions for data analysis
- Organize and manage data
- Understand the basics of descriptive and analytical statistics
- Analyze and interpret data
- Present and visualize data
Course Content
This course will aim to equip participants with data analysis and visualization skills for decision-making. Participants will be introduced to fundamentals of data analysis and visualization. The course will be practical in content and will include five modules covering the following: data storage, organization and management, analysis and interpretation. All modules will be covered online in sessions running for 1 hour daily. Participants will engage in both formative and summative assessments in each module. The assessments will be in a form of assessment quizzes, discussions forums both offline and online activity submissions. All assessments will be marked by the course instructor and other members of the facilitation team. A combined final mark of greater than or equal to 65% will see a participant acquire a certificate of attendance.
Motivation
Deriving insights from data and communicating findings is still a daunting challenge for many, both in the academia and in the business environment. More so, the desire and the need for soft skills in data analysis and visualization is increasingly on the rise and on demand by industries as well as by professionals in the industries. Therefore, by introducing this short course will be directly responding to participant’s needs for soft skills in data analysis and visualization.
Target Group
The proposed course would appeal to students in third or fourth year, graduate students, and lecturers those with interest in data analysis and visualization. The course could also potentially appeal to monitoring and evaluation officers in government and nongovernmental sectors, research consultants (individual and firms) in the private sector. All in all, the target group in the market could include but not limited to:
- Researchers
- Monitoring and Evaluation officers
- Students
- Research Managers
Course Overview
Do you have a Facebook account? What about TikTok and Instagram? Whether you’ve already dipped your toes in the waters of social media or are still standing on the shore wondering what to make of it all, this course is designed to help you not only survive but also thrive in this age of digital communication.
Learning Outcomes
- Conduct social media audits and analysis
- Prepare and execute a social media strategy
- Implement tactics for social media growth
- Creating content for your audience that converts into tangible sales
- Analysing metrics and social media data to implement decisions
Target Group
There are no prerequisites for registering for the course. However, the course serves as an important component for those interested in the techniques and concepts used in a variety of situations to assist professionals in navigating the complexities of social media and using it to drive action and community building.
Course Duration This is a 4-week course with a hybrid approach, that is, part online and physical sessions running for an hour. At the end of the short course, participants will be able to:
Course Delivery :
Online or virtual learning and physical for tailored made courses customized to organization needs
Course Overview
Taking up a career in entrepreneurship is an interesting but challenging undertaking. An entrepreneur needs a wide range of knowledge and skills. This course introduces the students to the basic concepts and principles of entrepreneurship, innovation and small business management to help prospective and practicing entrepreneurs to develop and run successful businesses. The course takes a practical approach to enable the students to put the knowledge to use in real time.
Target Group
Entrepreneurs, aspiring entrepreneurs, and mentors in entrepreneurship.
Course Duration 2 Weeks (Four sessions per week. Each Session is 2 hours):
Course Delivery :
Online or virtual learning and physical for tailored made courses customized to organization needs