dLab is launching its second Open Data training course on Monday 31st October, 2016

dLab is launching its second Open Data training course on Monday 31st October, 2016 at the new dLab space in Dar es Salaam.

Whether you have some knowledge of open data or completely new to it, this introductory 4 days training course will enable you to quickly increase your confidence in working with open data. You will discover how open data can be used to improve lives, create services and make your organisation more efficient.

When? Monday 31st October - Thursday 3rd November 2016, 08.00am – 04:00pm.

Where? dLab, located at the University of Dar es Salaam(UDSM), College of Information and Communication    Technologies (CoICT), Kijitonyama Postal Grounds, Dar es Salaam.

Who is this course for? This course is for anyone that wants to learn how to use, publish and benefit from open data, working in NGOs, CSOs and individuals in Tanzania. Participants may be from various sectors and areas including health, gender, economics and innovation.

What is the course coverage? The course covers:

  • Day 1:  Introduction to open data, Classification & preparation of open data What is open data? Motivations behind open data initiatives, benefits, characteristics and data sources, Raw data, metadata, Data management and analysis
  • Day 2: Harmonizing datasets Introduction to machine readable data, data cleaning, tools and validation
  • Day 3: Collaborating across organisations Components of tidy data, storing and merging clean data
  • Day 4: Dashboards & data release policy Data licensing, data visualisation, presenting data and stories

Course prerequisites: No previous experience is required. However, basic knowledge of how to use a Computer and the web is compulsory.

At  the end of the training, trainees are expected to be able to:

  • Describe open data
  • Describe the benefits of working with open data for your organisation
  • Describe successful case studies of using and publishing open data across the private and public sectors
  • Explain how open data sits in the current economic climate
  • Clean and validate open data
  • Explain open data licenses

Places on the course are limited to few participants, so please register by filling in the available at http://dlab.or.tz/node/55 .

Note: Hotel accommodation, transport and other stipends shall be borne by individual participants