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.
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.
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 the 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.
To achieve this certification, the following exams must be completed with a passing grade:
– Exam B90.01: Fundamental Big Data
– Exam B90.02: Big Data Analysis & Technology Concepts
– Exam B90.04: Fundamental Big Data Analysis & Science
– Exam B90.05: Advanced Big Data Analysis & Science
– Exam B90.06: Big Data Analysis & Science Lab