DSN RESEARCH MASTERCLASS

6 WEEKS . 10 SPEAKERS

Overview

DSN Research Masterclass is a masterclass organized by Data Scientist Network to inspire, equip and support local community researchers in submitting research papers in top conferences/journals, building a solid pan-African research community network to build solutions for Africa. 

The Research Masterclass

The Data Scientist Network Research Masterclass – is a session taught and mentored by world-class experts! You cannot afford to miss this immersion in world-class learning, best practices and cutting-edge knowledge in Research.

The Research Masterclass will hold VIRTUALLY between May 20 and June 24, 2022. 
LAUNCH DATE : May 20th, 2022
EVENT TIME : 4pm – 6pm GMT + 1
TRAINING DURATION : Every Friday from May 20th to June 24th, 2022

Meet Our speakers

Dr Soufiane Hourri

HOST

Research and Innovation Lead Data Scientists Network (DSN)

Dr Eric Sodomka

Dr Sakinat Folorunso

Senior Lecturer

Olabisi Onabanjo UniversityDR

Chris Emezue
Student/Researcher

Technical University of Munich & Mila & Masakhane
Bonaventure Dossou
Student/Researcher
Jacobs University, Mila, Google AI
Oluwatoyin Sanni
Data Scientist (R&D)

Yuty, Alan Turing Institute

Dr Henry Ogundolire

Instructional Design and Strategic Consultant

Data Scientists Network

Sebastian Obeta
Data Scientist
University of Cambridge, Cambridge, England, United Kingdom
Moshood Yahaya
Data Scientist / ML Engineer
University of Bradford, Bradford, England, United Kingdom
Alex Umagba
Data Scientist
University of Bradford, Bradford, England, United Kingdom  

Details

Event Registration

The Research Masterclass Schedule

The Research Masterclass will cover the following:

Week 1 : Introduction to Research

Week 2 : How to conduct the bibliographic study ?

Week 3 : How to start writing an academic paper ?

Week 4 : Writing – Articles sections : Methodology, Results and discussions.

Week 5 : Writing – Articles sections : Introduction and related work

Week 6 : Writing – Articles sections : Abstract and conclusion

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