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Online/ On-site (Nairobi, Kenya) Training Dates | ||||
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| Course Date | Onsite fee (Nairobi) | Live Online fee | Register for Physical/Online Training | |
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 considerations 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
10 Days
COURSE OBJECTIVES
o Understand and appropriately use statistical terms and concepts
o Design and Implement universally acceptable Surveys
o Convert data into various formats using appropriate software
o Use mobile data gathering tools such as SurveyCTO
o Use GIS software to plot and display data on basic maps
o Qualitative data analysis using NVIVO
o Workflow use commands in STATA
o Manage, edit and structure large databases in STATA
o Generating descriptive statistics in STATA
o Creating powerful publication-quality graphs in STATA
o Data Analysis/Estimations in STATA
o Write reports from survey data
o 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
o Introduction and Key Concepts
o Overview of ODK and Kobotolbox
o Advantages of SurveyCTO
o Key Features of SurveyCTO
o Case studies on use of SurveyCTO
Module 5: SurveyCTO Server
o Components of SurveyCTO
o Data aggregation, storage, and dissemination
o Setting up a SurveyCTO server
o Managing users & user roles
Module 6: Setting Up SurveyCTO Collect App
o Installing SurveyCTO collect from google play store
o Configuring SurveyCTO collect app
o SurveyCTO Collect Application Interface
Module 7: SurveyCTO Online Form builder
o Creating a form
o Input types
o Adding question to Form
o Form logics
o Import and export forms
Module 8: Building Forms using XLSForms
o Introduction to XLSform designer
o Components of XlSForm
o Question types
o Handling constraints and required options
o Form skip logic
o Form Operators and Functions
o Grouping Questions
o Settings Worksheet
o Importing XLSforms to SurveyCTO server
Module 9: Using SurveyCTO Collect
o Managing forms in SurveyCTO Collect
o Collecting GPS data
o Submitting data to SurveyCTO Server
Module 10: Monitoring Data with SurveyCTO Data Explorer
o Monitoring Submission statistics
o Monitoring Form submissions and dataset
o Reviewing and correcting incoming data
o Summarize data submitted for individual fields
o Summarize the empirical relationships between field
Module 11: Data Management
o Exporting &Exporting data from SurveyCTO as CSV via SurveyCTO Sync
o Importing SurveyCTO – CSV file into statistical applications
o Downloading data directly from SurveyCTO
Module 12: Visualizing Geographic Data
o Exporting GPS Coordinates to Google maps and Google Earth
o Exporting GPS data for Mapping/Visualizing
Module 13: GIS mapping of survey data using QGIS
o Introduction to GIS for Researchers and data scientists
o Importing survey data into a GIS
o Mapping of survey data using QGIS
o Exercise: QGIS mapping exercise.
Module 14: Understanding Qualitative Research
o Qualitative Data
o Types of Qualitative Data
o Sources of Qualitative data
o Qualitative vs Quantitative
o NVIVO key terms
o The NVIVO Workspace
Module 15: Preliminaries of Qualitative Data Analysis
o What is qualitative data analysis
o Approaches in Qualitative data analysis; deductive and inductive approach
o Points of focus in analysis of text data
o Principles of Qualitative data analysis
o Process of Qualitative data analysis
Module 16: Introduction to NVIVO
o NVIVO Key terms
o NVIVO interface
o NVIVO workspace
o Use of NVIVO ribbons
Module 17: NVIVO Projects
o Creating new projects
o Creating a new project
o Opening and Saving project
o Working with Qualitative data files
o Importing Documents
o Merging and exporting projects
o Managing projects
o Working with different data sources
Module 18: Nodes in NVIVO
o Theme codes
o Case nodes
o Relationships nodes
o Node matrices
o Type of Nodes,
o Creating nodes
o Browsing Nodes
o Creating Memos
o Memos, annotations and links
o Creating a linked memo
Module 19: Classes and summaries
o Source classifications
o Case classifications
o Node classifications
o Creating Attributes within NVIVO
o Importing Attributes from a Spreadsheet
o Getting Results; Coding Query and Matrix Query
Module 20: Coding
o Data-driven vs theory-driven coding
o Analytic coding
o Descriptive coding
o Thematic coding
o Tree coding
Module 21: Thematic Analytics in NVIVO
o Organize, store and retrieve data
o Cluster sources based on the words they contain
o Text searches and word counts through word frequency queries.
o Examine themes and structure in your content
Module 22: Queries using NVIVO
o Queries for textual analysis
o Queries for exploring coding
Module 23: Building on the Analysis
o Content Analysis; Descriptive, interpretative
o Narrative Analysis
o Discourse Analysis
o Grounded Theory
Module 24: Qualitative Analysis Results Interpretation
o Comparing analysis results with research questions
o Summarizing finding under major categories
o Drawing conclusions and lessons learned
Module 25: Visualizing NVIVO project
o Display data in charts
o Creating models and graphs to visualize connections
o Tree maps and cluster analysis diagrams
o Display your data in charts
o Create models and graphs to visualize connections
o Create reports and extracts
Module 26: Triangulating results and Sources
o Triangulating with quantitative data
o Using different participatory techniques to measure the same indicator
o Comparing analysis from different data sources
o Checking the consistency on respondent on similar topic
Module 27: Report Writing
o Qualitative report format
o Reporting qualitative research
o Reporting content
o Interpretation
Module 28: Introduction to Statistical concepts and general analytics IN STATA
o Research design
o Samples and populations
o Comparison of experimental and non-experimental designs
o Exploring variable types
Module 29: Familiarizing with the application
o Datasets
o Commands
o Working with variables in Stata
o Basic analysis using Stata
Module 30: Charting and Graphical presentation using Stata
o Classifying different charts and processing them using STATA
o Understanding the Graph command syntax
o Graphs for categorical Vs Numeric variables
o Managing chart output in STATA
o Multivariate charting
Module 31: Statistical Tests using Stata
o One Sample T Test
o Independent Samples T Test
o Paired Samples T Test
o One-Way ANOVA
Module 32: Measures of Associations in Stata
o Chi-Square test
o Pearson's Correlation
o Spearman's Rank-Order Correlation
Module 33: Predictive Models using Stata
o Linear Regression
o Multiple Regression
o Logistic Regression
o Ordinal Regression
Module 34: Panel Data Analysis using Stata
o Exploration of panel data
o Fixed effects model/LSDV
o Random effects model
o Choosing the appropriate model
Module 35: Time Series Analysis using Stata
o Introduction to time series analysis using Stata
o Plotting a time series
o Seasonal differences
o Auto correlations
o Forecast models in Stata
Module 36: Econometric Analysis
o Econometric Analysis of cross-sectional data
o Econometric Analysis of panel data
o Econometric Analysis of time-series data
Module 37: Report writing for surveys, data dissemination, demand and use
o Writing a report from survey data
o Communication and dissemination strategy
o Context of Decision Making
o Improving data use in decision making
o Culture Change and Change Management
o Preparing a report for the survey, a communication and dissemination plan and a demand and use strategy.
o Presentations and joint action planning
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808
Training Venue
The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.
Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Upskill certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808
Payment should be done two weeks before commence of the training, to Upskill Development account, so as to enable us prepare better for you.
| Course Date | Onsite fee (Nairobi) | Live Online fee | Click to Register, Physical or Online Training |
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