This certification validates experience and knowledge a range of the most relevant topics that pertain to contemporary analysis practices, technologies and tools for Data Analytics environments. The exam content does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that enable participants a comprehensive understanding of the common analysis functions and features offered by Data Analytics solutions.
This certification validates experience and knowledge in pertaining to data science and analysis techniques relevant and unique to Big Data with an emphasis on how analysis and analytics need to be carried out individually and collectively in support of the distinct characteristics, requirements and challenges associated with Big data. The exam certification is divided into a series of modular sections.
Data Analytics Certified Associate – DACA evaluates your knowledge and various skill sets regarding diagnostic processes, capture, data cleansing, analysis, documentation, exploitation and data sets for reports. We validate your skills to identify new opportunities, identify risks and points of improvement in data analytics projects for organizations.
Big Data Certified Associate – BDCA assesses the knowledge and skills that are used to understand large data in relation to velocity, volume or data variety. It covers the possible sources of data that can be used to solve business problems, techniques and concepts involved in the capture, storage, management and big data analysis, including data mining and predictive analysis.