Profesional Membership

IDSA Membership

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Student Membership

IDSA is the professional membership body for organisations and professionals working in the Data Science and Data Analytics sector in Nigeria and across African countries. Established and registered in Nigeria as a membership body; the organisation is growing rapidly representing interested individuals, corporations, Small and Medium Enterprises, professional organisations, data science and IT professionals.

Student (Learning-level) Membership

This category of membership is the least the Institution can offer to interested individuals who long to become a data scientist, data analyst or any of the global certification program conducting by our local and international partners. We have identified a learning path of online courses with our partners, which are mapped to our requirements for qualification. Should you choose to expand your skills and knowledge with any of our partners or outside of our programs, you can return to us, once your training is complete and submit your application for review.

Be ready to learn Python, R, Tableau and as you wish to climb the ladder of your professional certification, get deeper knowledge in any of the following: Database management (at least one of the following: Talend, IBM Data Studio, Informatica, Dataflux, SAS Data Integration, and Abinitio), Analytics (at least one of the following: R, IBM SPSS, SAS, Alteryx), Visualization (Tableau, Spotfire, Qlik, PowerBI, SAS Visual Analytics), Languages (at least one of the following: Python, SQL, T-SQL(stored procedures and functions), PL/SQL, pgPL/Sql, Pig, Hive, Impala, Java, JavaScript, Go, Ruby, C, C#, VBA), Databases (at least one of the following: SQL Server, PostgreSQL, Teradata, Oracle, IBM DB2, MySQL, SAP HANA, Mongo DB), Shell Scripting (at least one of the following: DOS batch, Power Shell, BASH (UNIX/LINUX Utilities), Other Softwares (at least one of the following: JIRA, MOVEit, SVN (subversion), Git).

This is a learning level that defines minimum competences and skills to be able to work in a Data Science team under supervision. All Data Science competences are strongly based on the common required competences and skills that include basic competences in mathematics, statistics, statistical languages, general computation skills, and visualisation.