The Data Scientist certifications of Data Science Council of America demonstrate most powerfully the data leadership acumen and promise of senior and accomplished data analytics and data engineering professionals for transforming data and business intelligence infrastructure, strategies, initiatives and programs for organizations.
DASCA offers two levels of global certifications in this track: The Senior Data Scientist (SDS™) certification, which sharply targets senior data Analysts and data engineers who want to move up to Data Scientist roles, and the Principal Data Scientist (PDS™) certification, which is ideal for experienced Data Science professionals who desire more challenging roles in their careers.
Registrations are open now for the latest versions of SDS™ and PDS™ certifications.Register Now
SDS™ and PDS™ credentialed Data Scientists exhibit proven high-end professional knowledge and capabilities related to transforming big data into invaluable business asset for large, global organizations in a complex global environment. The certifications demonstrate readiness for assuming roles involving planning, designing, and implementing processes and layouts for complex, large-scale data sets used for modeling, data mining, and research. The entry-level prerequisites for the SDS™ and PDS™ certifications include competence in data analytics operations, business case development, planning, coordination/ collaboration with various internal and vendor teams, and efficient management of the lifecycle of data management projects.
With an in-depth understanding of their roles, responsibilities, and the challenges of their profession in a global workplace, SDS™ and PDS™ credentialed professionals demonstrate validated expertise in conceptualizing high-impact strategic uses of Big Data and developing and executing a pan-organization data intelligence infrastructure and mindset. Their knowledge of operating major open-source and proprietary data analytics platforms, tools, and technologies in Hadoop and Spark environments, and on distributions such as Hortonworks and Cloudera are also extensively tested during the certification exam.
The SDS™ and PDS™ certification assessments address the cardinal Big Data question: how does Data Science help organizations, professionals and researchers solve problems faster and take better, more accurate decisions in real-time? The two credentials are most reliable validations for higher-order competence of data scientists, who can be deployed across sectors and adapt to and leverage technological developments and the changing industry dynamics.
DASCA is an entirely independent certification body and not a technology developer or owner of a proprietary data analytics platform. This makes DASCA a neutral credentialing body with zero vested commercial interests. This third-party recognition, combined with cross-platform and vendor-neutral characteristics and orientation makes SDS™ and PDS™ truly trustworthy worldwide, and gives professionals the recognition and flexibility to use their knowledge and skills to analyze Big Data on multiple platforms.
Developed using the highest levels of research and validation rigor, and awarded after assessments designed and conducted on standards that exceed the most stringent of international testing and assessment norms, the SDS™ and PDS™ credentials meet all the requirements of technology employers across industries around the world.
The SDS™ and PDS™ certifications are available for the worldwide audience, and registrations can be made online. The certification exams for SDS™ and PDS™ can be taken in 180+ countries around the world. All SDS™ and PDS™ program-participants also receive exclusively written data science handbooks for study and preparation at no extra cost. In some countries, 3rd-party publishers also provide specially curated online learning and reference material.
Earning the Senior Data Scientist (SDS™) credential and designation takes qualifying the online SDS™ certification exam. The standard PDS™ certification requirements mandate completing four assessment milestones – including the PDS™ certification exam. However, two of the four PDS™ tracks exempt candidates from the certification exam. Click the program logos here to read more on SDS™ and PDS™.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.
Typical job requirements: Find, clean, and organize data for companies. Data scientists will need to be able to analyze large amounts of complex raw and processed information to find patterns that will benefit an organization and help drive strategic business decisions. Compared to data analysts, data scientists are much more technical.
Business Intelligence (BI) Developer
Typical job requirements: BI developers design and develop strategies to assist business users in quickly finding the information they need to make better business decisions. Notable companies: DollarShave Club, Discover, and Liberty Mutual.
Typical job requirements: Ensure data solutions are built for performance, and design analytics applications for multiple platforms.
Typical job requirements: Track the behavior of applications used within a business and how they interact with each other and with users.
Typical job requirements: Oversee all business systems such that they are working optimally and can support the development of new technologies and system requirements. A similar job title is Cloud Infrastructure Architect, which requires overseeing a company’s cloud computing strategy.
Works closely with stakeholders, including management and subject matter experts (SMEs) to develop a view of an organization’s strategy, information, processes and IT assets.
For the senior professionals with many years of experience under their belts, the Senior Data Scientist (SDS™) and Principal Data Scientist (PDS™) certifications are the ultimate stamp of professional class and leadership. They are both powerful validation and proof of a seasoned data science professional’s acumen, potential, and promise for aligning Data Science and Big Data frameworks with other business functions at an organizational level.
If you’re a big data technologist or a big data analyst who wants to move to Data Scientist roles, then the Senior Data Scientist (SDS™) certification can land you in some of the best Data Scientist jobs and adds speed to your journey of becoming a data leader. Principal Data Scientist (PDS™) Certification, is designed for most coveted data scientists/data officers/ data architects who aspire to demonstrate their potential in configuring the data science ecosystem of their organization to catalyze business performance by spearheading data and information strategy.
A Data Scientist Certification validates your competence and gives you a chance to establish yourself as a subject matter expert in your industry. A certification will reflect your understanding on how to mitigate the risks associated with complex data-driven enterprise-wide endeavours. Refreshing your skills by opting for a certification is the best option for you if you want to influence corporate strategies through data which is becoming central to all critical decisions in any organization today. According to a recent global survey conducted by DASCA, around 66% of global IT professionals plan for at least one certification every two years.
DASCA’s vendor–neutral Data Scientist Certification programs prove your evidenced capabilities for designing, developing and driving an integrated data and business intelligence ecosystem. SDS™ and PDS™ shows your readiness for impacting business through innovative deployment of the latest in data science and analytics technologies.
For the fourth year in a row, data scientist ranked as one of the top jobs globally. According to the U.S. Bureau of Labor Statistics, job opportunities for data scientists will grow by 14% through 2028. As a result, there is still a high demand for qualified and skilled data scientists.
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