Data & Statistics Capacity Building Programs for Sustainable Development
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The Role of Data in Sustainable DevelopmentTo have a chance to achieve the SDGs, Data Must Be Made Accessible and Usable
It is critical to implement education programs aimed at improving capacity and data literacy to break down barriers between people and data
There are huge and growing inequalities in access to data and information and in the ability to use it.
Existing gaps can only be overcome through new investments and the strengthening of capacities.
By A World That Counts: Mobilising The Data Revolution for Sustainable Development Report
Depth & Breadth of Data Literacy CurriculaTraining Programs Can be Delivered Online as well as On-Site
Sample Tuva Modules
Data Collection Methods
Exploratory Data Analysis Techniques
Data for Monitoring & Evaluation
Writing Statistical Stories
Wrangling with Messy Data
Surveys & Data Visualization
Data Analysis Using Quantitative Methods
Any Many Many More...
Tuva Modules Give Participants an Opportunity to Work With Open Data Including:
Population & Housing Census Data
Household Survey Data
Multiple Indicator Cluster Surveys
Demographic & Health Survey Data
Living Standards Measurement Survey Data
Case-Based Modules & Lessons Using Authentic Open Data
Greater Data Access, Evidence-Based Decisions, Better OutcomesData & Statistics Capacity Building Solutions for All Stakeholders
Enabling Data-Driven, Evidence-Based Policy Making
Collecting, Analyzing, and Reporting Data to Facilitate Better Monitoring & Evaluation
Media and Civil Society Organizations
Statistical Storytelling to Make Data Accessible to the Larger Public
Market-Driven Workforce Training & Skills Development for Better Employability Opportunities
Our Training Programs Aim To Empower People, Better Policies and Decisions, Greater Civic Participation and Accountability, Leading to Better Outcomes For People and the Planet.
Case StudySudan Evidence Base Programme in Partnership with the World Bank & DFID
Thanks to Tuva, data science has never been more accessible or inclusive -- it's an interactive, practical, and fun-to-use data literacy process, which guides users (including and particularly unseasoned, non-statisticians) to explore, analyze, and draw conclusions from data.
We've deployed it to great effect in Sudan, and I believe it to be profoundly valuable for any development initiative which prioritizes evidence-based decision-making to improve the quality of life for the poor, the marginalized, and the underserved.