2 participants: 5% Group Discount
3 to 5 participants: 10% Group Discount
6 or more participants: 15% Group Discount
Group discount applies for payment one week prior to the training date
(Available also for customised Training by Duration, Venue & Fee)
The World Bank has joined with its
development partners in a commitment to achieve measurable improvements
in sustainable growth and poverty reduction. The new emphasis on
monitoring development outcomes, exemplified by the Millennium
Development Goals and country-owned Poverty Reduction Strategy, has
focused attention on the quality of statistics and the need to improve
the capacity of national and international statistical systems to
provide a wide range of timely and reliable indicators.
The World Bank, Development Committee
noted the need for increased and coordinated donor support for
capacity building, including that for results-oriented monitoring and
evaluation and statistics.
The objectives of this course are three-fold:
To provide an assessment of some of the serious weaknesses and challenges facing national and global statistical systems
To bring together information on key statistical activities currently
To identify what more World Bank and its partners can do to improve the quality and availability of development statistics.
Promoting standards and frameworks
Strengthening international data systems
Compiling transnational data.
The highest priority for action is assigned to increasing statistical capacity at the national level,
The recommendations for increasing the demand for, as well as the supply of, good statistics at national level.
Evidence of weak statistical systems
Strengthening international data systems
Compiling transnational data
Strategic planning
Making better use of existing data
Training and new tools for data collection and analysis
Our portfolio of more than 200 training courses are currently designed to address the current training needs of our clients incorporating latest trends and internationally accepted best practices, in each distinct subject area.