- TypeTraining or Development Class
- Location Nairobi, Kenya
- Date 04-06-2018 - 08-06-2018
Education/Teaching/Training/Development
Fresher/Trainee/Professionals
OTHERS
Event: GIS and Statistical Analysis for WASH Programmes Course
Venue: Indepth Research Services, Nairobi, Kenya.
Event Date: 4th June– 08th June 2018
NITA CERTIFIED
RECENT CLIENTS
INTRODUCTION
It’s a known fact that information is processed from facts and figures. Giving a spatial dimension to data and performing spatial analysis in a GIS environment enhances the interpretation which eventually speeds up implementation of programs. Integrating GIS and Remote Sensing as a decision-making tool has seen many organizations gain competitive advantage and remain relevant globally.
A geographic information system (GIS) will allow you to bring all types of data inform of layers, overlay them to perform analysis and eventually publish a map from that. Once the data is collected, participants will be equipped with analyses skills using Microsoft Excel program where techniques on handling both qualitative and quantitative data will be illustrated.
CLASS SIZE
The class size is limited to 10 participants to ensure that each participant could interact with the facilitator.
DURATION
6 Days
COURSE OBJECTIVES
By completing this course, participants will be able to: -
TOPICS TO BE COVERED
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How to Participate
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View GIS and Earth Observation Institute Course Catalogue
For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814
Email [email protected]
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact the Training Officer.
Email: [email protected].
Mob: +254 715 077 817
Tel: 020 211 3814
PAYMENT
Payment should be transferred to IRES account through bank on or before C.O.B 28th May 2018.
Send proof of payment to [email protected]
TAILOR-MADE TRAINING This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our IRES Training Centre or at a convenient location.