Get the Best Data Science Training and Position yourself for New Opportunities this Decade

Get the Best Data Science Training and Position yourself for New Opportunities this Decade

Analytics, Data Science, Machine Learning & AI are new skills that will form the job landscape in 2022, according to the World Economic Forum Future of Job Report 2018. Acquiring these skills, requires solid foundational learning of theory, practice & use cases. 

Data Science Nigeria is the pioneer Data Science and Artificial Intelligence training and empowerment non-profit, that has trained thousands of students, through free AI training programmes, bootcamps, campus AI+ programmes, business professionals’ trainings and corporate trainings with robust hands-on consulting capacity. Our strength in training is a testament to our vision, which is to build a world-class Artificial Intelligence (AI) knowledge, research and innovation ecosystem that delivers high-impact transformational research, business use applications, AI-first start-ups, support employability, and social good use cases.

Our training model is a perfect blend of theoretical data science knowledge, practical industry use cases and delivered by facilitators who practice Data Science at the highest level of business & academia. 

All our trainings are designed to capture beginners to expert level competencies, with industry recognized certificates awarded to all participants at the end of our classes, including training support for international data science certifications by Microsoft or BigML 

In addition, we also provide custom trainings for industry-specific data enthusiasts, who wish to apply data science concepts to various fields, for example, HR, Marketing, Banking, Sales, Telecoms, etc. 

Don’t wait anymore, join our upcoming Introductory Data/Business Analytics Class starting 15th Feb and will go on for 5 Saturdays. Time is 9am to 12noon.

Please see below link to view all our scheduled training courses in 2020 

To register for any of our trainings, please follow the link 


call or email Seun on 08140088800/[email protected] for more information.


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