WHY SHOULD I JOIN?
IBAN members will develop capabilities in all aspects of business analytics, which are relevant for enhancing performance in corporate and government establishments.
These include, but are not limited to: data journalism, behavioral analytics, cohort analytics, collections analytics, visual analytics, cyber analytics, financial analytics, fraud analytics, health care analytics, marketing analytics, pricing analytics, retail sales analytics, risk and credit analytics, supply chain analytics, talent analytics, transportation analytics, operations analytics, and so on.
IBAN will continue to make an effort to regulate and enhance ethical standards and technical competence of members in the best interest of the society.
Who Should Join IBAN
Those with quantitative aptitude (mathematics, statistics, computer science, economics, engineering, physics, etc) and wish to turn their capability to relevant skills.
Those who would like to be part of the early members of a promising professional body with the potential of taking active roles (council members, committee members, elective offices, tuition center managers, etc.) within a short period, without the rigor of writing stages of examinations.
Those who have worked in analytics-related roles (business intelligence, data, analytics, data and research analysis, data management, data platforms, data insight, data warehouse, data governance, data quality, data entry, data reporting, data science, etc) and which to become a member of a professional community.
Those that have done analytic related training from various international universities and online platforms like Datacamp, WorldQuant University, dbrownconsulting, Oracle (Data Mining), AWS, Coursera, EDX, Udacity, LinkedIn, IBM, IIBA, Udemy, Data Science Nigeria, simplilearn, OneCampus, Google, Codementor, Topcoder, Analytics Vidhya, KDnuggets, R-bloggers, Flowingdata, Kaggle, freecodecamp, and many others.
Those that know Python, SQL, R, Jupyter Notebook, R studio, Power BI, Tableau, econometrics and statistical software, MATLAB, Data modeling, visualization, machine learning, and so on.
Those who are aware of the future of work and the potential of analytics skills and wish to join a professional body that can guide them from zero to hero.