GIS and Statistical Analysis Course,WASH Programmes Course,GIS and Statistical Analysis Training,GIS and Statistical Analysis Class,GIS and Statistical Analysis Development class
GIS and Statistical Analysis for WASH Programmes Course - Training or Development Class in Westlands, Nairobi, Kenya on January 2018 by Indepth Research Services. Training courses, course.
Venue: Indepth Research Services, Nairobi, Kenya.
Event Date: 22th – 27th January 2018
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.
The training is designed for participants who are reasonably proficient in English.
The class size is limited to 10 participants to ensure that each participant could interact with the facilitator.
By completing this course, participants will be able to: -
TOPICS TO BE COVERED
HOW TO PARTICIPATE
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For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814, +254 731240802, +254 735331020.
Accommodation is arranged upon request. For reservations contact the Training Officer.
Mob: +254 715 077 817 Tel: 020 211 3814
Payment should be transferred to IRES account through bank on or before C.O.B 15th January 2018.
Send proof of payment to email@example.com.
This scheduled course can also be tailored for your organisation. To find out how our tailor-made training can help your organisation, call our team on Mob: +254 715 077 817 Tel: 020 211 3814