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.

It will be conducted using ODK, GIS, NVIVO and SPSS

DURATION

2 Weeks

LEARNING OBJECTIVES

Understand and appropriately use statistical terms and concepts
Design and Implement universally acceptable Surveys
Convert data into various formats using appropriate software
Use mobile data gathering tools such as Open Data Kit (ODK)
Use GIS software to plot and display data on basic maps
Qualitative data analysis using NVIVO
Perform basic data analysis tasks with SPSS
Perform simple to complex data management tasks using SPSS
Correctly identify appropriate statistical test for basic analysis s and perform them using SPSS
Write reports from survey data
Put strategies to improve data demand and use in decision making

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.

TOPICS TO BE COVERED

Module1: Basic statistical terms and concepts

Introduction to statistical concepts
Descriptive Statistics
Inferential statistics

Module 2:Research Design

The role and purpose of research design
Types of research designs
The research process
Which method to choose?
Exercise: Identify a project of choice and developing a research design

Module 3: Survey Planning, Implementation and Completion

Types of surveys
The survey process
Survey design
Methods of survey sampling
Determining the Sample size
Planning a survey
Conducting the survey
After the survey
Exercise: Planning for a survey based on the research design selected

Module 4:Introduction

Introduction to Mobile Data gathering
Benefits of Mobile Applications
Data and types of Data
Introduction to common mobile based data collection platforms
Managing devices
Challenges of Data Collection
Data aggregation, storage and dissemination
Types of questions
Data types for each question
Types of questionnaire or Form logic
Extended data types geoid, image and multimedia

Module 5:Survey Authoring

Design forms using a web interface using:

o ODK Build

o Koboforms

o PurcForms

Hands-on Exercise

Module 6:Preparing the mobile phone for data collection

Installing applications: ODK Collect

o Using Google play

o Manual install (.apk files)

Configuring the device (Mobile Phones)
Uploading the form into the mobile devices
Hands-on Exercise

Module 7:Designing forms manually: Using XLS Forms

Introduction to XLS forms syntax
New data types
Notes and dates
Multiple choice Questions
Multiple Language Support
Hints and Metadata
Hands-on Exercise

Module 8:Advanced survey Authoring

Conditional Survey Branching

o Required questions

o Constraining responses

o Skip: Asking Relevant questions

o The specify other

Grouping questions

o Skipping many questions at once (Skipping a section)

Repeating a set of questions
Special formatting
Making dynamic calculations

Module 9:Hosting survey data (Online)

For any enquiry to: [email protected] or +254712260031
Website: www.fdc-k.org
Register online to attend- http://tinyurl.com/yyn86qd4
View Research and Data Analysis courses calendar 2019 – http://bit.ly/2rfjxn4
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Foscore Development Center(FDC-K) is a global training and consulting firm that has been serving leading businesses in many countries. We specialise in capacity building and talent development solutions for individuals and organisations, through our highly customised courses and experienced consultants, in a wide array of disciplines.

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Statistics and Data Science