The NIH Training Center offers several hands-on budget training courses. The full day NIH Federal Budget course is focused on budget operations and systems and is highly recommended for budget managers, budget analysts and Administrative Officers wanting an overview of the budget process. The half-day course is geared more for the scientific community who desire a general overview of budget planning to include a review of budgetary terms and a discussion on fiscal year close out procedures. In addition, we also offer data analysis training with a focus on using quantitative tools and methods using Microsoft Excel.
This 3 hour course is designed for Principal Investigators, Staff Scientists, and others involved in scientific programs (Intramural and Extramural) whose work may include budget management.
This 2-day course is designed to go beyond the qualitative side of data analysis. Explore proven quantitative tools and methods for analyzing, interpreting, and utilizing data.
Crystal clear charts and graphs are valuable - they save an audience's mental energy, keep a reader engaged, and help to persuade your audience.
This course is designed for new Administrative Officers and Technicians, entry-level Budget Analysts, and Administrative Lab Managers.
Save time and increase productivity by learning EXCEL! This class is designed for students who want to acquire the necessary skills to get started with Microsoft Office Excel worksheets.
EXCEL is a great tool for turning complex information into more simple snapshots to inform your stakeholders, as well as organize your data.
The Microsoft Office Excel Level 3 course lets learners build upon their foundational and intermediate knowledge of working with spreadsheets and introduces participants to high-end features, like PivotTables and Charts, collaborating with others,
Microsoft® SharePoint® is a platform specifically designed to facilitate collaboration, allowing people to use familiar applications and Web-based tools to create, access, store, and track documents and data in a central location.