May
18
When

Data for Decision Makers

Your best way to get started with data

This two-day, hands-on workshop with Dr. Peter Graif will give you everything you need to get started with IBM's SPSS statistical analysis package. No prior background is assumed, though some familiarity with basic research techniques will help you to make the most of what you learn.

This program is fully hands-on, and participants will leave with the skills they need to start using SPSS independently in real world contexts.

This course always fills up quickly, so please get in touch if you would like us to hold a spot for you.

  • Training dates: May 19th and 21st, 1pm–4pm
  • Requested donation: 3,000 NPR

To request a seat, please fill out the form below.

Program Details

2-day online workshop

This two-day online workshop with Dr. Peter Graif will introduce participants to IBM's SPSS statistical analysis package. No prior background in the social sciences is assumed, though some familiarity with basic research techniques will help participants to make the most of what they learn. This is a hands-on training, and participants will leave with the confidence and experience they need to use SPSS effectively.

Due to the highly interactive nature of this program, attendance will be limited to sixteen participants. We expect the workshop to fill up, so apply early to guarantee a spot.

 

Course Structure

Data for Decision Makers (with SPSS) is a two-day online course for anyone aspiring to use data in leadership or managment contexts. In six hours, participants will develop the skills to use SPSS effectively. Dr. Peter Graif will also be available to assist participants individually to craft their own research project.

At the end of this program, participants will be able to:

  • Ask meaningful questions to support effective action
  • Create and manage complex data sets from real-world sources
  • Analyze data in ways that can guide effective management and leadership
  • Build powerful graphs and charts to communicate data findings

 

Instructor(s)

Peter Graif, PhD

Application

Application
To request a seat in this program, please fill out the form below. We'll get back to you shortly.