Training
Research training | Design and innovation training. | Data Analysis and Management training. | Grant writing and proposal writing. | Business strategy and Modelling Training
A. Research Training
Outcome: Equip participants with the skills to conduct high-quality research.
1.Scientific Literacy
- To develop a foundational understanding of scientific principles and research methodologies.
- 1 week
- Introduction to scientific methods and principles (2 days)
- Understanding scientific literature and peer review (2 days)
- Basic statistical concepts and their importance in scientific research (1 day)
2.Scientific Communication
- To enhance participants’ ability to effectively communicate scientific findings.
- 2.5 weeks
- Preparing scientific presentations (1 day)
- Effective public speaking skills (1 day)
- Understanding citation styles (APA, MLA, Chicago, etc.) (0.5 day)
- Properly citing sources in scientific work (0.5 day)
- Efficient literature search techniques (1 day)
- Using databases and search engines effectively (1 day)
3.Grant Writing for Research Projects
To equip participants with skills to secure research funding through effective grant proposals.
- 1 week
- Identifying funding opportunities (2 days)
- Key components of a grant proposal (2 days)
- Writing persuasive and clear grant narratives (2 days)
- Budgeting and project planning for grants (1 day)
4.Proposal Writing for Research Proposals/protocols
- To develop skills for writing detailed and compelling research proposals.
- 1 week
- Differences between grant proposals and research proposals (1 day)
- Crafting a research question and hypothesis (2 days)
- Designing research methodologies (2 days)
- Structuring a research proposal (1 day)
○Reviewing and refining proposals (1 day)
5.Designing Electronic Survey Tools
- To introduce participants to various data collection tools with a focus on the World Bank’s Survey Solutions platform.
- 5 Days
- Overview of Data Collection Tools Crafting a research question and hypothesis
- Detailed Training on Survey Solutions
- Designing Effective Surveys and Ensuring Data Quality
6.Scientific Writing
- 5 Days
- Structure and style of scientific papers (2 days)
- Writing clear and concise abstracts, introductions, and discussions (3 days)
7.Introduction to Data Analysis
- To provide participants with a strong foundation in data analysis, progressing from basic to advanced techniques.
- Between 1- 4weeks
- Understanding data types and sources (2 days)
- Descriptive statistics and basic data visualization (3 days)
- Inferential statistics: hypothesis testing, confidence intervals, p-values (4 days)
- Regression analysis and correlation (3 days)
- Multivariate analysis techniques (3 days)
- Time series analysis (2 days)
- Machine learning basics for data analysis (3 days)
8. Data Collection Tools
- To introduce tools for data collection and ensure accurate and reliable data acquisition.
- 1 week
- Overview of various data collection tools (1 day)
- Detailed training on Survey Solutions (3 days)
- Designing effective surveys and questionnaires (1 day)
- Ensuring data quality and integrity (2 days)
B. Design and Innovation Training
1. Human centered design Training
Equip participants with comprehensive skills in problem analysis, design thinking, brainstorming, prototyping, business modeling, and industry insights to develop collaborative, user-centered solutions and sustainable business models.
- 5 Days
- Introduction to Co-Creation
- Problem Understanding –
- Defining the Design Challenge –
- Brainstorming and Idea Generation –
- Prototyping and Testing
- Business Modeling and Social Enterprise Creation –
- Improving Existing Business Models – Analysis and enhancement of business models
C. Data Analysis and Management Training
Outcome: Develop strong data analysis and management skills for research, decision-making, and policy development.
1.Introduction to Data Analysis
- 1 week
- Understanding data types and sources (2 days)
- Descriptive statistics and basic data visualization (3 days)
2.Intermediate Data Analysis
- 1.6 weeks
- Inferential statistics: hypothesis testing, confidence intervals, p-values (4 days)
- Regression analysis and correlation (3 days)
3.Advanced Data Analysis
- 1.5 weeks
- Multivariate analysis techniques (3 days)
- Time series analysis (2 days)
4.Good Data Management Practices Using R
- 1 week
- Data wrangling and manipulation using R (3 days)
- Creating reproducible workflows in R (2 days)
- Managing large datasets efficiently (2 days)
5. Data Storytelling/Visualization
- 5 Days
- Principles of data visualization (2 days)
- Tools for creating visualizations (e.g., Tableau, ggplot2 in R) (2 days)
- Crafting a compelling data narrative (1 day)
D . Grant Writing and Proposal Writing for Non-Profits and Social Impact
Outcome: Equip participants with the skills to secure funding and articulate project plans for social initiatives.
Grant /proposal Writing for Non-Profits and social enterprises
- To equip participants with skills to secure research funding through effective grant proposals.
- 1 week
- Identifying funding opportunities (2 days)
- Key components of a grant proposal (2 days)
- Writing persuasive and clear grant narratives (2 days)
- Budgeting and project planning for grants (1 day)
E. Business Strategy and Modeling
Outcome: Equip participants with practical tools to model and scale their businesses effectively.
- 3 Days
- Introduction to Business Modeling
- Interaction of Business Components
- Assessing Viability and Scalability
- business model that can drive profitability
- Beyond Desirability: Profitability and Sustainability