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Data Science for Development

Harnessing the use of Big Data for Socio-economic Development in Africa

Offered by: African Centre for Technology Studies (ACTS)

In collaboration with School of Computing & Informatics, University of Nairobi and AI Research Lab, School of Computing and Informatics Technology, Makerere University

Date: 12th - 13th , October 2015

Venue: SCI Lab, Chiromo Campus, University of Nairobi

Course Objectives

Participants will be able to:

  • Identify & extract big data from disperate sources
  • Clean & manipulate big data
  • Perform computations and analysis of big data
  • Develop models and applications for predictive analysis
  • Develop & implement a big data strategy for an organization
  • Report & visualize data analysis results

Course Outline

  • Introduction to Data Science & Big Data
  • The Data Science eco-system
  • Data Science case studies in Africa
  • Practicum
  • Emerging research and science issues
  • Moving from data to action

Course Convernors

  Ernest Mwebaze     -         AI Research Lab, Makerere University
  Martin Mubangizi     -    AI Research Lab, Makerere University
  Raymond Mugwanya     -    African Centre for Technology Studies
  Christopher Chepken     -    University of Nairobi

Target participants (max. 25):

This course is ideal for anyone, including managers, programmers, architects and administrators, who want a foundational overview of Data Science and how it can be integrated to provide suitable solutions for their organization. No programming experience is required. Programmers should be aware that the exercises in this course are intended to give attendees high-level exposure to the capabilities of Data Science software tools and techniques, and not a deep dive.

Fee Structure

National: 1000 USD covering tuition, accommodation, meals & refreshments, training materials & social events
International: 2000 USD covering tuition, accommodation, airport transfers, meals and refreshments, training materials and social events (excluding air tickets)

To apply:
Please send a CV and motivation letter to: Dr. Raymond Mugwanya (This email address is being protected from spambots. You need JavaScript enabled to view it.) by September 15th, 2015.