Research Design, Data Management, Analyses & Use Course in Nairobi, Kenya

INTRODUCTION

New developments in data science offer a tremendous opportunity to improve decision-making. In the development world, there has been an increase in the number of data gathering initiative such as baseline surveys, Socio-Economic Surveys, Demographic and Health Surveys, Nutrition Surveys, Food Security Surveys, Program Evaluation Surveys, Employees, customers and vendor satisfaction surveys, and opinion polls among others, all intended to provide data for decision making.

It is essential that these efforts go beyond merely generating new insights from data but also to systematically enhance individual human judgment in real development contexts.

How can organizations better manage the process of converting the potential of data science to real development outcomes?  How can organizations go beyond merely generating new insights to changing behaviors — not only of their employees, but beneficiary and communities too?

This ten days hands-on course is tailored to put all these important consideration into perspective.

It is envisioned that upon completion, the participants will be empowered with the necessary skills to produce accurate and cost effective data and reports that are useful and friendly for decision making.

DURATION

5 days

WHO SHOULD ATTEND?

This is a general course targeting participants with elementary knowledge of Statistics from Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals among others who already have some statistical knowledge, but wish to be conversant with the concepts and applications of statistical modeling. No Prior attendance of a Stata/SPSS/R course is required. The training is designed for participants who are reasonably proficient in English.

LEARNING OBJECTIVES

• Understand and appropriately use statistical terms and concepts
• Design and Implement universally acceptable Surveys
• Convert data into various formats using appropriate software
• Perform simple to complex data manipulation using Ms Excel
• Perform basic data analysis tasks with SPSS/Stata/R
• Perform simple to complex data management tasks using SPSS/Stata/R
• Correctly identify appropriate statistical test for basic analysis s and perform them using SPSS/Stata or R as the participant choose
• Use mobile data gathering tools such as Open Data Kit (ODK)
• Use GIS software to plot and display data on basic maps
• Use Google Doc and Google maps to collaborate and sharing information
• Write reports from survey data
• Put strategies to improve data demand and use in decision making

How to register:
To register, send an email to: [email protected] You can also visit our website on www.opencastlabs-africa.com and fill an online application form and submit to us.

February 10th - 14th 2020
Register Online: https://cutt.ly/YrQoMMj

March 23rd - 27th 2020
Register Online: https://cutt.ly/3rQo0ww

View Related Courses: http://opencastlabs-africa.com/data-collection-and-analysis/

Contact Details:

Rwanda:

P.O Box 4543 Kigali

3rd Floor La Bonne Address House

Avenue de la Revolution

Tel: Kigali +250 788 470 532

The Training Coordination Office (Joab/Diana)
Capacity Building Division
Argwings Kodhek Road, opposite YAYA Center
P.o Box 30225 – 00100 , Nairobi, Kenya
Tel: +254 0204409651   Mobile: +254 723870644
Email : [email protected]

Language

Participants should be reasonably proficient in English.

Fee Exceptions

All international participants will cater for their, travel expenses, visa application, insurance, accommodation and other personal expenses.

Accommodation

Accommodation is arranged upon request. For reservations contact us below.

Email: [email protected]

Payment:

Payment should be transferred through bank 5 days before commencement of training.

Cancellation policy

• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
• The appropriate cancellation charge will apply

TOPICS TO BE COVERED

• Basic statistical terms and concepts
• Survey Planning, Implementation and Completion
• Concepts and Software for Data Processing, management and GIS mapping
• Introduction to Data management and analysis using statistical software
• Quantitative Data Analysis using SPSS/Stata/R
• Data Management (SPSS/Stata/R)
• Graphics (SPSS/Stata/R)
• Advanced Data Analysis Part II (SPSS/Stata/R)
• Advanced Data Analysis Part II (SPSS/Stata/R)
• Report writing for surveys, data dissemination, demand and use