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 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 SurveyCTO, GIS, NVIVO and STATA
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 SurveyCTO
· Use
GIS software to plot and display data on basic maps
· Qualitative
data analysis using NVIVO
· Workflow
use commands in STATA
· Manage,
edit and structure large databases in STATA
· Generating
descriptive statistics in STATA
· Creating
powerful publication-quality graphs in STATA
· Data
Analysis/Estimations in STATA
· 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
Module 2:Research Design
Module 3: Survey Planning, Implementation and Completion
Module 4:Introduction to SurveyCTO
· Introduction
and Key Concepts
· Overview
of ODK and Kobotolbox
· Advantages
of SurveyCTO
· Key
Features of SurveyCTO
· Case
studies on use of SurveyCTO
Module 5:SurveyCTO Server
· Components
of SurveyCTO
· Data
aggregation, storage, and dissemination
· Setting
up a SurveyCTO server
· Managing
users & user roles
Module 6:Setting Up SurveyCTO Collect App
· Installing
SurveyCTO collect from google play store
· Configuring
SurveyCTO collect app
· SurveyCTO Collect
Application Interface
Module 7:SurveyCTO Online Form builder
· Creating
a form
· Input
types
· Adding
question to Form
· Form
logics
· Import and
export forms
Module 8:Building Forms using XLSForms
· Introduction
to xlsform designer
· Components
of XlSForm
· Question
types
· Handling
constraints and required options
· Form
skip logic
· Form
Operators and Functions
· Grouping
Questions
· Settings
Worksheet
· Importing
xlsforms to surveyCTO server
Module 9:Using SurveyCTO Collect
· Managing
forms in SurveyCTO Collect
· Collecting
GPS data
· Submitting
data to SurveyCTO Server
Module 10:Monitoring Data with SurveyCTO Data Explorer
· Monitoring
Submission statistics
· Monitoring
Form submissions and dataset
· Reviewing
and correcting incoming data
· Summarize
data submitted for individual fields
· Summarize
the empirical relationships between field
Module 11:Data Management
· Exporting
&Exporting data from SurveyCTO as CSV via SurveyCTO Sync
· Importing
SurveyCTO – CSV file into statistical applications
· Downloading
data directly from SurveyCTO
Module 12:Visualizing Geographic Data
· Exporting
GPS Coordinates to Google maps and Google Earth
· Exporting
GPS data for Mapping/Visualizing
Module 13: GIS mapping of survey data using QGIS
· Introduction
to GIS for Researchers and data scientists
· Importing
survey data into a GIS
· Mapping
of survey data using QGIS
· Exercise:
QGIS mapping exercise.
Module 14:Understanding Qualitative Research
· Qualitative
Data
· Types
of Qualitative Data
· Sources
of Qualitative data
· Qualitative
vs Quantitative
· NVivo
key terms
· The
NVivo Workspace
Module 15:Preliminaries of Qualitative data Analysis
· What
is qualitative data analysis
· Approaches
in Qualitative data analysis; deductive and inductive approach
· Points
of focus in analysis of text data
· Principles
of Qualitative data analysis
· Process
of Qualitative data analysis
Module 16:Introduction to NVIVO
· NVIVO
Key terms
· NVIVO
interface
· NVIVO
workspace
· Use
of NVIVO ribbons
Module 17:NVIVO Projects
· Creating
new projects
· Creating
a new project
· Opening
and Saving project
· Working
with Qualitative data files
· Importing
Documents
· Merging
and exporting projects
· Managing
projects
· Working
with different data sources
Module 18:Nodes in NVIVO
· Theme
codes
· Case
nodes
· Relationships
nodes
· Node
matrices
· Type
of Nodes,
· Creating
nodes
· Browsing
Nodes
· Creating
Memos
· Memos,
annotations and links
· Creating
a linked memo
Module 19:Classes and summaries
· Source
classifications
· Case
classifications
· Node
classifications
· Creating
Attributes within NVivo
· Importing
Attributes from a Spreadsheet
· Getting
Results; Coding Query and Matrix Query
Module 20: Coding
· Data-driven
vs theory-driven coding
· Analytic
coding
· Descriptive
coding
· Thematic
coding
· Tree
coding
Module 21:Thematic Analytics in NVIVO
· Organize,
store and retrieve data
· Cluster
sources based on the words they contain
· Text
searches and word counts through word frequency queries.
· Examine
themes and structure in your content
Module 22:Queries using NVIVO
· Queries
for textual analysis
· Queries
for exploring coding
Module 23: Building on the Analysis
· Content
Analysis; Descriptive, interpretative
· Narrative
Analysis
· Discourse
Analysis
· Grounded
Theory
Module 24: Qualitative Analysis Results Interpretation
· Comparing
analysis results with research questions
· Summarizing
finding under major categories
· Drawing
conclusions and lessons learned
Module 25: Visualizing NVIVO project
· Display
data in charts
· Creating
models and graphs to visualize connections
· Tree
maps and cluster analysis diagrams
· Display
your data in charts
· Create
models and graphs to visualize connections
· Create
reports and extracts
Module 26: Triangulating results and Sources
· Triangulating
with quantitative data
· Using
different participatory techniques to measure the same indicator
· Comparing
analysis from different data sources
· Checking
the consistency on respondent on similar topic
Module 27: Report Writing
· Qualitative
report format
· Reporting
qualitative research
· Reporting
content
· Interpretation
Module 28: Introduction to Statistical concepts and general
analytics IN STATA
· Research
design
· Samples
and populations
· Comparison
of experimental and non-experimental designs
· Exploring
variable types
Module 29: Familiarizing with the application
· Datasets
· Commands
· Working
with variables in Stata
· Basic
analysis using Stata
Module 30: Charting and Graphical presentation using Stata
· Classifying
different charts and processing them using STATA
· Understanding
the Graph command syntax
· Graphs
for categorical Vs Numeric variables
· Managing
chart output in STATA
· Multivariate
charting
Module 31: Statistical Tests using Stata
· One
Sample T Test
· Independent
Samples T Test
· Paired
Samples T Test
· One-Way
ANOVA
Module 32: Measures of Associations in Stata
· Chi-Square
test
· Pearson's
Correlation
· Spearman's
Rank-Order Correlation
Module 33: Predictive Models using Stata
· Linear
Regression
· Multiple
Regression
· Logistic
Regression
· Ordinal
Regression
Module 34: Panel Data Analysis using Stata
· Exploration
of panel data
· Fixed
effects model/LSDV
· Random
effects model
· Choosing
the appropriate model
Module 35: Time Series Analysis using Stata
· Introduction
to time series analysis using Stata
· Plotting
a time series
· Seasonal
differences
· Auto
correlations
· Forecast
models in Stata
Module 36: Econometric Analysis
· Econometric
Analysis of cross-sectional data
· Econometric
Analysis of panel data
· Econometric
Analysis of time-series data
Module 37: Report writing for surveys, data dissemination,
demand and use
· Writing
a report from survey data
· Communication
and dissemination strategy
· Context
of Decision Making
· Improving
data use in decision making
· Culture
Change and Change Management
· Preparing
a report for the survey, a communication and dissemination plan and a demand
and use strategy.
· Presentations
and joint action planning
General Notes
·
All our courses can be
Tailor-made to participants needs
·
The participant must be
conversant with English
·
Presentations are
well guided, practical exercises, web-based tutorials, and group work. Our
facilitators are experts with more than 10years of experience
·
Upon completion of
training, the participant will be issued with a Global King Project Management
certificate
·
Training will be done at
the Global King Project Management Centers (Nairobi Kenya, Mombasa Kenya,
Kigali Rwanda, Dubai ,Lagos Nigeria and More others).
·
A discount of 20% will
be given to more than 4 participants from same organization.
·
Course duration is
flexible and the contents can be modified to fit any number of
days.
·
Payment should be done
before commencement of the training, to the Global King Project Management
account, so as to enable us to prepare better for you.
·
For any inquiry
to: [email protected] or +254 114 830 889
·
Website: www.globalkingprojectmanagement.org
·
Tablet and Laptops are
provided to participants on request as an add-on cost to the training fee
·
The course fee for
onsite training includes facilitation training materials, 2 coffee breaks, a
buffet lunch, and a Certificate of successful completion of Training.
Participants will be responsible for their own travel expenses and
arrangements, airport transfers, visa application dinners, health/accident
insurance, and other personal expenses.
Start Date | End Date | Action | Duration | Location | Fee(Kes) | Fee(Us$) |
---|---|---|---|---|---|---|
18/09/2023 | 29/09/2023 | 10Days | Nairobi | 200000 | 2400 | |
16/10/2023 | 27/10/2023 | 10Days | Nairobi | 200000 | 2400 | |
08/01/2024 | 19/01/2024 | 10Days | Nairobi | 200000 | 2400 | |
04/03/2024 | 15/03/2024 | 10Days | Nairobi | 200000 | 2400 | |
01/04/2024 | 12/04/2024 | 10Days | Nairobi | 200000 | 2400 | |
13/11/2023 | 24/11/2023 | 10Days | Mombasa | 240000 | 3000 | |
05/02/2024 | 16/02/2024 | 10Days | Mombasa | 240000 | 3000 |