End Date: February 12, 2021
Starts in: 13 Days
Event Location: Nairobi
Training Fees: USD 1,276.00
See Future Events: Data Science and Analytics,Mobile Data Collection,Data Analysis,Data Visualization,Data Science,QGIS,KoBoToolBox
This course is suitable for people working in
Impact Evaluation, Monitoring, and Evaluation, Academic Research, Market Research, Field Research, Agriculture, Health, Education, WASH, Handicapped, Human rights, Emergencies/disasters, Advocacy, Education, Environment, Small business development, Community development, Rural Development, Women, Youth, Population, Rehabilitation, Culture, Capacity Building, Appropriate technology, Income, generation, Private sector, Refugees/displaced
Data collection has always been an integral part of development work. In the past, this task was performed with paper and pen, which made it prone to error, difficult to conduct on a large scale, and high in transaction costs.
ICT tools such as mobile devices and software that allow users to create surveys, collect, manage, and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection.
If you have always wanted to learn how to collect, manage, and analyze project data using mobile devices, this training course is for you.
Who should attend?
This training course is suitable for anyone who is interested in learning how to quickly collect and manage data using mobile devices.
This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts
The course will introduce participants to tools and techniques for rapid data collection using innovative mobile data collection tools.
At the end of the course, participants will become familiar with ICT tools and technologies to conduct data collection, extract data for analysis and map collected data using mapping software.
Topics to be covered
- ICT Refresher
- Introduction to Mobile Data Collection
- Benefits of Mobile Based Data Collection
- Challenges facing Mobile Based Data Collection and their workarounds.
- Best Practices
- Introduction to KoBoToolbox.
- Types of questions.
- Data types for each question.
- Questionnaire logic.
- Digitizing/building forms/survey authoring using KoBoToolbox.
- Deploying forms.
Device calibration (Mobile Phones/Tablets)
- KoBoCollect installation and configuration.
- Downloading forms into mobile devices.
- Collecting data using KoBoCollect
Survey data hosting
- Uploading survey data to KoBoToolbox
Data Analysis and Visualization using KoBoToolbox
- Data Analysis and Visualization using KoBoToolbox
Introduction to basic XLSForm syntax for survey authoring
- New data types.
- Notes and dates.
- Multiple-choice Questions.
- Multiple Language Support.
- Hints, metadata, and more.
- Conditional Survey Branching.
- Required questions
- Constraining responses
- Skip: Asking Relevant questions
- The specify (other)
- Grouping questions.
- Skipping many questions at once (Skipping a section). Etc
- Extended data types geoid, image, and multimedia
Advanced Survey Authoring using XLSForm syntax
- Repeating a set of questions.
- Special formatting.
- Making dynamic calculations.
- Survey Styling and formatting
- Form validation
- Troubleshooting common syntax errors
Module V (GIS)
- Introduction to GIS
- Working with Spatial data (GPS Coordinates)
- Introduction to Fusion Table
- Exporting GPS Coordinates (Google maps) to Fusion tables
- Exporting data to Fusion tables using QGIS
- Converting data to shapefiles
- Choice of Platform
- Discussion on the Choice of Platform
- Integrating Mobile Data Collection tools into projects
The instructor-led training 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 professionals and trainers in these fields.
All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
Upon successful completion of this training, participants will be issued with a certificate of participation.
The training is residential and will be held at T4D Training Centre in Westlands Nairobi, Kenya. The course fees cover the course tuition, training materials, two break refreshments, lunch, and study visits.
All participants will additionally cater for their travel expenses, visa application, insurance, and other personal expenses.
We can also tailor-make our courses for you. This way, you/your organization will benefit by:
- Using their own 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
For further inquiries, please contact us on details below:
Email: [email protected]
Accommodation is arranged upon request. For reservations contact the Training Officer.
Email: [email protected]
Mobile Number: +254706909947
The course fee is KES 75,000.00 or USD 1,100.00 exclusive of VAT. The course fees cover the course tuition, training materials, two (2) break refreshments, lunch, and study visits. Participants will cater for their travel and accommodation costs.
Payment should be transferred to Tech For Development – T4D account through the bank on or before the course starting date.
Send proof of payment to [email protected]
Payment for all courses includes a registration fee, which is non-refundable and equals 15% of the total sum of the course fee.
- Participants may cancel attendance 14 days or more prior to the training commencement date.
- No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met
Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure