Certified Big Data and Data Analytics Practitioner (CBDDAP)

Big Data and advanced analytics have become essential for organizations seeking to improve decision-making, enhance customer experience, optimize operations, and build sustainable competitive advantage. As data volumes grow rapidly and business expectations rise, organizations need professionals who can understand big data concepts, manage analytics processes, and convert complex data into actionable insights.

To meet this growing demand, BOOST Consulting & Training has developed the Certified Big Data and Data Analytics Practitioner (CBDDAP) program. This course equips participants with practical knowledge and applied skills in big data, data analytics, and insight generation in a business context.

The program covers the end-to-end analytics lifecycle, including data collection, preparation, analysis methods, visualization, interpretation, and communicating results to stakeholders. It also introduces key big data technologies and modern analytics approaches while emphasizing business value, governance, and practical implementation.

By the end of the program, participants will be able to support analytics initiatives, work effectively within big data environments, and deliver insights that drive performance and strategic outcomes.

•  Understand big data concepts, characteristics, and analytics use cases across industries
•  Explain the data analytics lifecycle from business problem definition to actionable insights
•  Identify and prepare data for analytics, including cleaning, transformation, and integration concepts
•  Apply descriptive, diagnostic, predictive, and prescriptive analytics approaches
•  Understand core big data platforms and technologies such as data lakes and distributed processing concepts
•  Use analytics techniques to extract patterns, trends, and insights from large datasets
•  Develop dashboards and visualizations to communicate insights clearly and effectively
•  Apply data governance, data quality, and ethical considerations within analytics initiatives
•  Support the implementation of analytics projects through structured planning and stakeholder engagement