A Certified Big Data Scientist has demonstrated proficiency in the application of principles, processes, and techniques required for exploring and analyzing large volumes of complex data with the goals of discovering novel insights, developing data products, and communicating analytic results that can drive decision making.
Along with a firm understanding of fundamental and advanced Big Data concepts and terminologies, a Certified Big Data Scientist is also required to have a thorough understanding of Big Data analysis lifecycle and foundational mechanisms essential for acquiring, processing and storing Big Data datasets. Exploratory data analysis (EDA) and confirmatory data analysis (CDA) techniques, statistical concepts, visualization tools and machine learning algorithms are taught and assessed in this certification program. A Certified Big Data Scientist understands the art of model development and evaluation and possesses an in-depth knowledge of both fundamental and advanced analysis techniques required for building descriptive and predictive models.
Note that the Big Data Scientist certification program is based on vendor-neutral coverage of technologies and a broad treatment of various statistical techniques and machine learning algorithms. The attainment of this certification, does not requires any knowledge of specific products or the underlying mathematical formulas involved in performing analysis and developing models. This certification imparts the necessary skills and understanding required for successful exploration and interpretation of Big Data datasets. This knowledge establishes a sound foundation that can be further built upon with additional training, accreditation and experience.