The Big Data Analyst credentialing track of the Data Science Council of America addresses credentialing requirements of trained professionals who specialize in managing the entire life–cycle of analyzing Big Data using advanced analytics tools and techniques on common and popular Big Data software and platforms.
Registrations are open now for the spanking new ABDA™ and SBDA™ version marked to the updated DASCA-DSBoK™ Ver 11-4.4.Register Now
DASCA offers two levels of global certification programs in this track: the Associate Big Data Analyst (ABDA™) Credential, which sharply targets graduating students with majors in business, management, economics, statistics, or allied disciplines, and who are planning an analytics career in the Big Data space. The Senior Big Data Analyst (SBDA™) Credential, which is designed for experienced analytics, marketing, and research professionals who intend to either move into the Big Data space or those, who are already into the Big Data groove, and want to grow faster in their careers. The ABDA™ and SBDA™ Credentials are awarded to those applicants who have successfully cleared the 100–minutes DASCA online examinations for these certifications, configured around the DASCA Essential Knowledge Framework. These examinations are managed and delivered entirely by DASCA across 183 countries.
The DASCA-certified Big Data Analysts come successfully tested for their theoretical and applied exposures to the complete array of contemporary open-source and proprietary data analytics platforms, tools, technologies, and environments. The ABDA™/ SBDA™ credentialed also exhibit a formally validated, in-depth understanding of how to apply concepts, principles, technologies, and tools of Statistics, Applied Mathematics, Operations Research, and RDBMS in the Big Data environment for effective business and marketing decision making. Professionals with ABDA™/ SBDA™ qualifications, therefore, assure potential employers, they can manage large volumes of variegated data; design models for analysis; interpret the importance of subject data for business intelligence; as well as migrate and visualize Big Data as assignments and objectives demand.
These DASCA Credential-holders exhibit level-appropriate, DASCA-EKF™-calibrated knowledge of popular Big Data platforms, including Hadoop and Spark. They have also tested successful for their diverse exposure to handling analytics functions on a cross-section of all popular Big Data distributions like Hortonworks and Cloudera.
That, the ABDA™/ SBDA™ credentialed professionals are ready for deployment at the time of hire is a priceless plus for recruiters and employers today. Their complete understanding of their roles, responsibilities, and professional challenges couples really well with their expert-level knowledge of analytics on popular Big Data platforms and turns them into absolutely deployment ready resources. They also bring to the table proven knowledge of operating a number of proprietary and open-source tools including HBase, Hive, Pig, and HiveQL, among others. And not to be missed: the candidacy norms for ABDA™/ SBDA™ ensure that all credential-holders exhibit at least a working knowledge and understanding of the broad trends and fundamentals of Business, Statistics, Marketing, Research, and Information Technology to help them have a richer perspective of their jobs, roles, and KRAs.
DASCA is an independent, neutral, 3rd party credentialing body. ABDA™ & SBDA™ combine the advantages of pan-platform relevance and vendor-agnosticism to become the world’s most powerful qualifications for best-in-class data science and analytics careers.
The DASCA Big Data Analyst Certifications exactly and comprehensively address the knowledge areas where Big Data Analysts need to possess proficiency in the rapidly evolving technology landscape to perform and grow well into champion-performers globally.
The DASCA Big Data Analyst Certifications are an assurance that certified professionals possess demonstrated abilities and knowledge to aggregate, transfer, migrate, sift, and analyze Big Data, as wells as visualize and present results and insights in desired formats and forms.
The ABDA™ & SBDA™ have robust, research-backed structure built after years of research on evolving analytics requirements across sectors; technological developments; changing dynamics of the Big Data industry. These credentials sharply address the ever-changing expectations and needs of employers and clients worldwide.
Although the highest levels of research and validation rigor marked the development of the ABDA™ & SBDA™ Credentials into truly universal qualifications, the process of accreditation by the American National Standards Institute (ANSI) and/or the National Commission for Certifying Agencies (NCCA) is also due to commence.
The ABDA™ & SBDA™ are now available worldwide and registrations can be made online. Certification exams are computer-based and can be taken across 183 countries. All ABDA™ & SBDA™ program-participants get a full exam-preparation kit free of cost at the time of registration.
The Big Data Analyst credentialing track of the Data Science Council of America offers certifications that validate promise, potential, and proficiency for managing the entire life–cycle of analyzing Big Data using advanced analytics tools and techniques on common and popular Big Data software and platforms.Register Now
The most critical skills for any big data analyst who wishes to go far are – in order of importance – the following:
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