Training Opportunity : Data Science and Machine Learning

A training opportunity for data science and machine learning is available and registration closes on 25 May.
 
Makerere University School of Public Health (MakSPH) in Kampala, Uganda, is working in partnership with four other African universities to research the COVID-19 response in Africa. Through the collaboration, a community of practice (COP) has been establised. It is aimed at developing the capacity of African institutions to prepare, analyse and respond to disease epidemics successfully.
 
As part of the COP, and in partnership with IBM Research Africa (IBMRA) scientists, who have expertise in artificial intelligence (AI), data science, and machine learning, the project has organised a capacity-building opportunity on data science and machine learning.
 
Participants interested in or with a background in data science, artificial intelligence, machine learning and cloud computing are encouraged to register. There is no minimum skill requirement aside from computer literacy.

Topics that will be covered include analysing the impact of COVID-19 on essential health services using time series analysis; learning from COVID-19 models to support what-if scenario analysis; and intervention planning and descriptive statistics to analyse NPIs implemented in African countries.

The training will be conducted online through Webex, with an expected engagement of about 2 hours every week. Facilitation will be in both English and French, and the programme will run until October 2022.

Interested participants can register herehttps://shorturl.ae/Gd3EC
by 25 May 2022.

CODATA-RDA School of Research Data Science – South Africa

The volume and variety of data that researchers and students are required to work with continues to grow. In order to work effectively with large datasets, data skills are becoming increasingly important, and can be enormously empowering.   

The Department of Information Science of the University of Pretoria, in collaboration with DIRISA, SADiLaR and NeDICC, presents the CODATA-RDA School of Research Data Science. This school is aimed at postgraduate students and early career researchers, and teaches foundational data science skills. The material covered by the programme is fundamental to all areas of research, and thus open to researchers and professionals from all disciplines that deal with significant amounts of research data. The goal is to provide a practical introduction to these topics with some theory and extensive hands-on training.

Topics covered include:
– Open Science
– Introduction to Unix Shell
– Introduction to Git
– Open and Collaborative Research
– Research Data Management
– Data Cleaning – using Open Refine
– Data Analysis and Visualisation – using R
– Data Intensive Social Science
– Author Carpentry
– Information Security
– Machine Learning and Neural Networks
– Research Computational Infrastructure

Please refer to the document below or the website (http://datascienceschools.co.za/) for more information. The deadline for applications is 31 March 2022

Africa Women in Data Science: Online Event

DARA Big Data (Development in Africa through Radio Astronomy), in partnership with the Office of Astronomy for Development (OAD), IDIA (Inter-University Institute for Data Intensive Astronomy) and SARAO (South African Radio Astronomy Observatory) is hosting a free 3-day Africa Women in Data Science online event. The event will coincide with International Women’s Day 2022 and will also mark the one year anniversary of the publication of the SARAO Women in Data Science report.

The event organisers hope to help build a thriving African community of female data scientists and promote skills development for women who are interested data science careers. Registration for the event closes January 31 2022.

The event will take place from 8-10 March 2022, which coincides with International Women’s Day. It aims to increase African women’s participation in the 4th Industrial Revolution (4IR) to build a prosperous, resilient Africa of the future. The integral role of African women for the 4IR will be discussed and various opportunities will be showcased for young women hoping to get into the field of data science.

Africa Women in Data Science is free to attend and will be split into a conference on Day 1 (March 8) and a hackathon on Days 2 and 3 (March 9-10). The conference will feature inspiring female panel discussions, presentations from leading industry experts and question and answer sessions. Day 1 is open to anyone across Africa with a keen interest in data science. To register for the conference, only complete the first section of the registration form.

Register here: https://www.astro4dev.org/2022/01/11/registration-open-for-africa-women-in-data-science-event-iwd2022/

Enquiries can be emailed to linzi.stirrup@manchester.ac.uk