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Open Data-Kit (ODK) Course Overview

Open Data-Kit (ODK) Course Overview

The Open Data Kit (ODK) course is designed to provide comprehensive training on the open-source suite of tools that allows data collection using Android mobile devices and data submission to an online server, even without an internet connection at the time of data collection. The course covers various aspects of ODK, from introductory concepts to Advanced form design and Data analysis.

Module 1 introduces learners to ODK, detailing what it is, its benefits, and features. Module 2 focuses on setting up ODK Collect on Android devices and creating basic forms using XLSForm. Module 3 delves into Advanced form design, including Branching logic, Constraints, and Validations, as well as setting up an ODK Aggregate server. Module 4 guides through the data collection process with ODK Collect, while Module 5 equips learners with skills for managing, analyzing, and visualizing collected data.

By the end of the course, participants will be proficient in using the Open Data Kit ODK suite for efficient data collection and analysis, equipping them with practical skills highly sought after in various sectors that rely on field data.

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Intermediate

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 1,150 (USD)
  • Live Training (Duration : 24 Hours)
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Course Advisor

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Simmi Anand

9+ Years Experience

I am Simmi Anand, a Microsoft Certified Trainer, and UiPath Certified Advanced RPA Developer with over 10 years of rich experience in corporate training and the IT sector. I have been working with Koenig Solutions for the past 7+ years, providing quality training on Robotic Process Automation using UiPath and Automation Anywhere. In addition, I also deliver training on Microsoft and Google technologies, including Mobile Application Development for Android, iOS with Swift, Hybrid Mobile Application using PhoneGap, Microsoft SQL Server, Microsoft PowerApps & Flow, Power Platform and PostgreSQL to global and corporate clients.
 
One reason I enjoy this field and the challenges that come with it is the opportunity to connect with people and solve their IT needs. I am also passionate about learning technologies and gaining solid knowledge about them. I have conducted various onsite training assignments globally with esteemed clients such as Microsoft - India, KPMG, Raw Bank - DRC, FRCI - Mauritius, Google Train the Trainer Project, Infosys, TCS, Wipro, and many others.

Target Audience for Open Data-Kit (ODK)

Learn how to collect, manage, and analyze field data using ODK, ideal for professionals in data-driven roles and field research.


  • Field Data Collectors
  • Survey Coordinators
  • Research Assistants
  • Monitoring and Evaluation Specialists
  • Environmental Scientists
  • Public Health Researchers
  • Humanitarian Aid Workers
  • GIS Specialists
  • Agricultural Extension Workers
  • Program Managers
  • IT Support Staff for Nonprofits/NGOs
  • Data Analysts
  • Database Managers
  • Project Coordinators/Managers in Development Sectors
  • Social Scientists
  • Conservation Biologists
  • Urban Planners


Learning Objectives - What you will Learn in this Open Data-Kit (ODK)?

Introduction to the Course's Learning Outcomes:

This Open Data-Kit (ODK) course equips learners with the essential skills to design, deploy, and analyze surveys using ODK tools for effective data collection and management.

Learning Objectives and Outcomes:

  • Understand the fundamentals of Open Data-Kit (ODK) and its benefits in data collection processes.
  • Learn to install and configure ODK Collect on Android devices for field data acquisition.
  • Gain proficiency in creating basic to complex forms using XLSForm, including branching logic and validation constraints.
  • Develop skills to set up an ODK Aggregate server for form management and data aggregation.
  • Master the process of form filling, data submission, and management of geospatial data using ODK Collect.
  • Troubleshoot common issues encountered during data collection with ODK tools.
  • Acquire the ability to manage and synchronize collected data with ODK Aggregate, ensuring data integrity and security.
  • Analyze and visualize collected data using various tools and techniques for insightful reporting.
  • Export collected data to different formats such as CSV and Excel for further analysis.
  • Integrate collected data with analysis software (e.g., Excel, R, Python) for advanced data manipulation and visualization.

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