Mobile Data Collection & Analysis using KoBo Toolbox and Power BI Course

INTRODUCTION.

A "Mobile Data Collection & Analysis using KoBo Toolbox and Power BI Course" would teach individuals how to gather data on mobile devices using the KoBo Toolbox platform, then import and visualize that data within Power BI for comprehensive analysis and reporting, primarily targeting researchers, project managers, and development practitioners who need to collect field data efficiently and gain actionable insights through data visualization.

ADVANCED TOPICS:

- Implementing data quality checks within KoBo forms- Utilizing geospatial data with KoBo and Power BI for mapping and analysis- Integrating data from other sources into Power BI dashboards- Using Power BI features like Power Query and DAX for complex data manipulations

Who Should Take This Course:-

Researchers in development, health, environment, and other fields- Project managers who need to monitor and evaluate project activities- Field data collectors using mobile devices- Data analysts looking to enhance their skills with KoBo Toolbox and Power BI

Course Delivery Methods:

1. Online lectures with practical exercises

2. Hands-on practice using real-world data collection scenarios

3. Case studies showcasing applications of KoBo and Power BI.

KoBo Toolbox Fundamentals:

- Understanding the KoBo Toolbox platform and its components (KoboCollect app, Form Builder, online data management). - Creating data collection forms using XLSForm format, including designing questions, data types, and conditional logic. - Deploying forms to mobile devices via the KoboCollect app. - Data collection in the field using mobile devices, including GPS location capture. - Managing data submissions, reviewing and cleaning data within the KoBo Toolbox interface.

Power BI Integration:

- Connecting Power BI to KoBo Toolbox data sources (API integration). - Data transformation and cleaning within Power BI to prepare data for analysis. - Creating visualizations using various Power BI chart types (bar charts, line graphs, maps, etc.). - Building interactive dashboards with filters and slicers to explore data dynamically.

Registration, Click the link below:

21th July- 25th July 2025 - PHYSICAL ATTENDANCE

21th July- 26th July 2025 - VIRTUAL ATTENDANCE

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