• Email: training(@)globalkingprojectmanagement.org
  • Call: +254 114 830 889

Research Design,ODK Mobile Data Collection,GIS Mapping, Data Analysis Using NVIVO And STATA Course


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 ODK, GIS, NVIVO and STATA




2 Weeks




·         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


·         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




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.




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)


·         ODK Aggregate


·         Formhub


·         ona.io


·         KoboToolbox


·         Uploading forms to the server


Module 10:Hosting Survey Data (Configuring a local server)


·         Configuring ODK Aggregate on a local server


·         Downloading data


·         Manual download (ODK Briefcase)


·         Using the online server interface


Module 11: 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 12:Understanding Qualitative Research


·         Qualitative Data


·         Types of Qualitative Data


·         Sources of Qualitative data


·         Qualitative vs Quantitative


·         NVivo key terms


·         The NVivo Workspace


Module 13: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 14:Introduction to NVIVO


·         NVIVO Key terms


·         NVIVO interface


·         NVIVO workspace


·         Use of NVIVO ribbons


Module 15: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 16: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 17: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 18: Coding


·         Data-driven vs theory-driven coding


·         Analytic coding


·         Descriptive coding


·         Thematic coding


·         Tree coding


Module 19: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 20:Queries using NVIVO


·         Queries for textual analysis


·         Queries for exploring coding


Module 21: Building on the Analysis


·         Content Analysis; Descriptive, interpretative


·         Narrative Analysis


·         Discourse Analysis


·         Grounded Theory


Module 22: Qualitative Analysis Results Interpretation


·         Comparing analysis results with research questions


·         Summarizing finding under major categories


·         Drawing conclusions and lessons learned


Module 23: 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 24: 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 25: Report Writing


·         Qualitative report format


·         Reporting qualitative research


·         Reporting content


·         Interpretation


Module 26: 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 27: Familiarizing with the application


·         Datasets


·         Commands


·         Working with variables in Stata


·         Basic analysis using Stata


Module 28: 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 29: Statistical Tests using Stata


·         One Sample T Test


·         Independent Samples T Test


·         Paired Samples T Test


·         One-Way ANOVA


Module 30: Measures of Associations in Stata


·         Chi-Square test


·         Pearson's Correlation


·         Spearman's Rank-Order Correlation


Module 31: Predictive Models using Stata


·         Linear Regression


·         Multiple Regression


·         Logistic Regression


·         Ordinal Regression


Module 33: Panel Data Analysis using Stata


·         Exploration of panel data


·         Fixed effects model/LSDV


·         Random effects model


·         Choosing the appropriate model


Module 34: 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 35: Econometric Analysis


·         Econometric Analysis of cross-sectional data


·         Econometric Analysis of panel data


·         Econometric Analysis of time-series data


Module 36: 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.


Course Schedule

Start Date End Date Action Duration Location Fee(Kes) Fee(Us$)
28/08/2023 08/09/2023

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10Days Nairobi 200000 2400
23/10/2023 03/11/2023

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10Days Nairobi 200000 2400
15/01/2024 26/01/2024

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10Days Nairobi 200000 2400
12/02/2024 23/02/2024

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10Days Nairobi 200000 2400
08/04/2024 19/04/2024

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10Days Nairobi 200000 2400
25/09/2023 06/10/2023

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10Days Mombasa 240000 3000
20/11/2023 01/12/2023

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10Days Mombasa 240000 3000
11/03/2024 22/03/2024

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10Days Mombasa 240000 3000