RE: DATA COLLECTION, MANAGEMENT, ANALYSIS AND MAPPING USING ODK, STATA AND QGIS
Tech For Development -T4D would like to invite you to a high impact Training Course in Data Collection, Management, Analysis And Mapping Using Odk, Stata And Qgis to be held in Nairobi, Kenya from 11th to 22nd Nov, 2019
Venue: Tech for Development Training Center, Nairobi, Kenya
Event Date: 11th to 22nd Nov, 2019
Course Fee: KES 75,000 OR USD 1,100
Online Registration: Register here
Open data kit, commonly referred to as ODK is a set of popular free and open source tools that allow us to collect data using mobile devices. Being a pioneer tool of its nature, ODK is one of the most popular mobile data collection tools. The fact that ODK is free and open source also makes it a darling to users considering the budget constraints that come with projects. Other reasons for its popularity include but not limited to: Allows offline data collection, has an active online community and support base, ability to collect rich data (photos, audio, video, signature etc), ability to collect location data (points, traces and polygon), allows collaboration and data sharing.
From simple to complex datasets, STATA makes it easy for analysts to maximize the use of their data. Other than quantitative data analyses, STATA can be used for exploring and analyzing geo-tagged datasets. The Graphical User Interface (GUI) of STATA is user-friendly for beginners, and those not familiar with commands.
A Geographic Information System is a multi-component environment used to create, manage, visualize and analyze data and its spatial counterpart. Most datasets you will encounter in your lifetime can all be assigned a spatial location whether on the earth’s surface or within some arbitrary coordinate system (such as a soccer field or a gridded petri dish). So, in essence, any dataset can be represented in a GIS.
Why this course
Data collection, management, analyses and mapping has always been a bully for many people, either because of their divergent academic background from research/statistics/GIS and/or mathematics, or because they have not been introduced well to understanding data and analyzing it for information purposes. Whether you are a researcher or a member of project management team, evidence-based decision making is becoming a mandatory tool in organizations and for prioritizing development needs.
Who should attend
Any person willing to learn mobile data collection using ODK, data management and analysis using STATA and mapping using QGIS to improve their general knowledge on data collection, management, analyses and mapping for academic research, organizational data, or wanting to switch to new technologies for data processing has the right footing to this course.
Participants are advised to bring a PC laptop with Windows XP Service Pack 3 or later with at least 2GB of RAM. You should also ensure that the laptop is installed with a genuine antivirus and is well updated.
If your computer is password protected please ensure that you have the administrator password for the purpose of installing software during the training.
ODK (Mobile Data Collection)
Digitizing your questionnaire
Introduction to basic XLSForm syntax for survey authoring
Getting started – Survey authoring using XLSForm syntax
Types of questions
Form Validation and Conversion for ODK Aggregate
Troubleshooting common syntax errors
Device calibration (Mobile Phones/Tablets) – ODK Collect
Introduction to ODK Collect
ODK Collect installation and configuration
Uploading forms into ODK Collect manually
Downloading form into ODK Collect from ODK Aggregate server
Hosting survey data (Online) – ODK Aggregate
Introduction to Google app engine/Digital Ocean/AWS for ODK
Introduction to ODK Aggregate
ODK Aggregate – Download and setup
ODK Aggregate administration and calibration
Data analysis in ODK aggregate
Downloading data for analysis
Downloading data from ODK Aggregate
Introduction to ODK Briefcase
Download and setup ODK Briefcase
ODK Briefcase calibration and administration
Stata (Data Management and analysis)
Introduction to Data Management, Surveys and Experimental Designs
Data Collection Techniques
Introduction to STATA datasets, Edit, Browse, List, Generating Variables, Codebook, Use written programs) Data Management in STATA (Import, Data Labelling, Handling Duplicates, Missing Values, Reshape, Append, Merge, Collapse, Data Transformation, Creating Dummy Variables)
Data Exploration (Simple tables, cross tabulation with measures of association, Measures of Central Tendency, Outliers, Quartiles, Percentiles, Skewness, Kurtosis, Variance, Standard Deviation, Standard Errors, Ladder/Gladder)
Advanced Analyses (Normality tests, variance tests, t-tests, One-way & Two-way ANOVA, MANOVA, ANCOVA, OLS Regression, Logistic/Binomial Regression, Factor Analyses/PCA, GLM, Cox Regression, Other Regression Models)
Introduction, cartography and GIS, and creating maps in QGIS
Basic conceptual understanding of cartography, GIS, and mapping
Gain familiarity with geographic data and information, and how it’s encoded within computer files
Gain a basic familiarity with the QGIS interface
Gain awareness of spatial reference and projection issues
Perform basic map styling
Create and export a basic map as a static image file
Thematic data mapping, Geocoding and point in polygon analysis
Load shape files and CSV data into QGIS
Create classed choropleth map
Adjust the legend to help the map tell a clearer story
Load tabular CSV data into QGIS and performing a tabular join
Learn about some of the geocoding tools available online
Understand and perform a point in polygon analysis
Heat maps, creating and editing vector Geometries
Map point data
Create a ‘heat map’ representation of the data
Digitizing data with Open Street Map in QGIS
Importing OpenStreetMap data: SpatialLite Database
Data filtering and extraction
Exporting layers to a local CRS
Extracting and preparing thematic OSM data
Filtering OSM data to create desired features
Using the Graphical Processing Modeler to automate workflows
Expected Training Outcomes
By the end of this training course participants will have learnt:
How to develop, manage and administer and implement a mobile data collection platform using ODK.
The core statistical concepts, clearly demonstrate data management and analyses skills in STATA.
How to develop maps and perform geographical data analysis in QGIS
This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.
All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
This training course can also be tailored for your organization. This way, your organization will benefit by:
Using own datasets and tools during the training.
Being able to choose areas of interest you wish the trainer to put more emphasis on.
Taking the course in-house or at a venue of choice.
Cutting on the cost of transport and accommodation.
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Need more information? Kindly visit this link to see answers to frequently asked questions.
How to participate
Customer Relationship Officer,
Tech For Development
Innovation for impact