The Data Scientist credentialing track of the Data Science Council of America addresses credentialing requirements of senior, accomplished professionals who specialize in managing and leading Big Data strategies and programs for organizations and have proven competence in leveraging Big Data technologies for generating mission–critical information for organizations and businesses.
Registrations are open now for the spanking new SDS™ and Pre-registrations for PDS™ 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 Senior Data Scientist (SDS™) Credential, which sharply targets senior Big Data Analysts and Engineers who want to move to Data Scientist roles. The Principal Data Scientist (PDS™) Credential, which is designed for experienced Data Science professionals who desire more challenging roles in their careers. SDS™ and PDS™ Credentials are awarded to those applicants who qualify the stringent DASCA candidacy norms for the credential, and have also successfully cleared the 100–minutes SDS™ or PDS™ online certification examinations configured around the DASCA Essential Knowledge Framework. These examinations are managed and delivered entirely by DASCA across 183 countries.
SDS™/ PDS™ credentialed Data Scientists exhibit successfully-verified, high-end professional knowledge and capabilities related to managing Big Data in a global environment. They come with rich exposure to planning, designing, and implementing processes and layouts for complex, large-scale data sets used for modeling, data mining, and research. Competence in business case development, planning, coordination/collaboration with various internal and vendor teams, and the efficient management of the lifecycle of Big Data projects are the base, entry-level prerequisites for the SDS™ and PDS™ Credentials.
With an in-depth understanding of their roles, responsibilities, and the challenges of their profession in a global workplace, the SDS™/ PDS™ credentialed professionals possess validated expert-level knowledge of conceptualizing, developing, and executing higher-impact strategic uses of Big Data. Their knowledge of operating all major open-source and proprietary data analytics platforms, tools, and technologies in Hadoop and Spark environments, and on distributions like Hortonworks and Cloudera, also come reliably examined during the certification test.
And not the least, the DASCA-certified Data Scientists – by virtue of their experiences, accomplishments, and background academic qualifications and training – do exhibit a high level of understanding of applying concepts, principles, technologies, and tools of Statistics, Applied Mathematics, Operations Research, and RDBMS in the contexts of business and marketing decision-making. Notably, possession of such rich experience and knowledge is a critical candidacy condition – a mandatory registration pre-requisite for all SDS™/ PDS™ applicants.
The SDS™/ PDS™ pre-credentialing assessments are designed to address the cardinal Big Data question: how does Data Science assist managers, entrepreneurs, scientists, governments, marketers, innovators, doctors, lawmakers, attorneys, and everybody else around in solving problems faster and in taking better, more accurate decisions in real time. The credentials therefore, snugly fit-in as the ideal qualification benchmarks for the finest breed of Data Scientists who can work across sectors; adapt to and leverage technological developments and the changing dynamics of the Big Data industry.
DASCA is entirely an independent certification body and not a technology developer or an owner of a proprietary Big Data platform. This catapults DASCA to the status of a neutral credentialing body with zero vested commercial interests. This third-party recognition, combined with its pan-platform and vendor-neutral characteristics and the DASCA-DSBoK™-centered credentialing stance and approach of DASCA, makes SDS™/ PDS™ relevant worldwide, giving professionals the recognition and flexibility to use their knowledge and skills for analyzing Big Data on multiple platforms.
Although the highest levels of research and validation rigor marked the development of the SDS™/ PDS™ Credentials into truly universal qualifications for top-league Data Scientists, 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 SDS™/ PDS™ Credentials are now available worldwide and registrations can be made online. While the certification examinations can be taken across 183 countries around the world, the official DASCA examination preparation material is provided at the time of registration to all applicants at no extra costs.
The Data Scientist credentialing track of the Data Science Council of America includes TWO credentials – addressed to senior, accomplished professionals who specialize in managing and leading Big Data strategies and programs for organizations and businesses.Pre-register Now
To become a qualified Data Scientist, you must:
Data Scientist/Data Architect/Chief Data Officer and others are positions that are considered to be the most senior ones today.
If you’re working as a Data Scientist, your next job title may well be senior data scientist. You might choose to specialize further in machine learning as a machine learning engineer, which would also bring a pay raise. Or, you can look more toward management with roles like lead data scientist. If you want to maximize earnings, your ultimate goal might be a C-suite role in data — such as chief data officer — although these roles require management skills and may not involve a lot of actual day-to-day work with data.
myDASCA allows you to manage your DASCA.org experience better.
If you are new to Data Science Council of America, please register yourself to apply for our certifications.