CredBadge™ is a proprietary, secure, digital badging platform that provides for seamless authentication and verification of credentials across digital media worldwide.
CredBadge™ powered credentials ensure that professionals can showcase and verify their qualifications and credentials across all digital platforms, and at any time, across the planet.
Please enter the License Number/Unique Credential Code of the certificant. Results will be displayed if the person holds an active credential from DASCA.
You can QualiFLY™ to a prestigious DASCA Credential if you are a student or an alumnus of a DASCA-recognized institution!
Read moreQualiFLY™ Accelerate your journey to the World's most powerful Data Science Credentials!
Check out this DASCA’s guide for some time-saving tips, tricks, and hacks that data scientists can use to make better data-driven decisions.
Download NowInsider stories of the moving and shaking in the big and exciting world of Big Data!
Read moreSharp recap on the groundbreaking in Big Data and Data Science thoughts, technologies, practices, and technologies!
Read moreRead how the young and the accomplished hope to push the skies up through their DASCA Credentials.
Read moreA quick round-up of the latest DASCA press releases, announcements, news, and updates.
Read moreAvailable across 180+ countries, DASCA certification exams are built on 5th generation TEI technologies delivered.
Read MoreDASCA Certifications for Big Data Engineers, Big Data Analysts, & Data Scientists are the world's most powerful independent professional credentials today. Choose the credential that suits you best!
Read MoreBig Data technology stables, Big Data consulting outfits, IT training companies, leading universities, business schools, higher education institutions, and government ICT academies – all are adding to the rapidly growing DASCA worldwide network. And if your organization is yet to ally with us, well, then just start the process now! We'll be privileged to have you join in.
Know moreGet your academic programs DASCA accredited. Become a prized DASCA institutional partner. Leverage the subsidy program of the World Data Science Initiative.
Read More>Get your data analysts, data engineers and data scientists DASCA certified. Establish a long-term partnership with DASCA for sustainable development of data science talent.
Read More>Enrich your analytics and data science training programs with DASCA certifications. Make your academy a prestigious DASCA education and exam-prep training provider.
Read More>Join hands for propagating standards-backed education in data science. Collaborate to align data science curricula in colleges and schools with the DASCA body of knowledge.
Read More>The DASCA Body of Knowledge and the DASCA Essential Knowledge Framework together present the world’s most rigorous and complete definition of professional excellence drivers for Big Data stakeholders.
Read moreThe comprehensive DASCA Body of Knowledge underlies the assessment and credentialing mechanisms of DASCA Certifications.
Read moreThe Essential Knowledge Framework (EKF™) codes down the world’s most authoritative skills-framework for Data Science professionals.
Read moreDASCA standards, knowledge frameworks, certifications, and knowledgeware together reflect industry-leading initiatives to develop big data analyst, engineers and data scientists who can work across a range of analytics technologies and platforms.
DASCA's pioneering credentials for big data analysts, application developers and data scientists are powerfully cross-platform, vendor-neutral and deployable across a range of operational levels in most industries.
Get yourself, your students, or your employees DASCA certified. Partner DASCA for education. Get your institution DASCA accredited. It’s easy, fast and online.
Read moreWe're eager to listen to you.
ConnectBig Data is the biggest boon yet for people who take critical decisions for machines that try to imitate human thought processes and discover insightful information. DASCA stands right behind to help such professionals make the most of the Big Data era and initiate technological advancements by harnessing its power.
The last two decades alone have created 98% of all data that has been piled up since we started writing history. In 2010, Google's Eric Schmidt estimated that the world created around 5 exabytes of information between the dawn of civilization and 2003. Now that same amount is created every two days. With the world experiencing such a rapid influx of data, it needs huge numbers of Data Science professionals to handle it. The fact is that all technology domains and industry sectors are looking up to Data Science to guide them into the future. We need Big Data dreamers to ensure that cardiac arrests be preempted, supply chains can be sharpened, and robots can become closer to humans.
Whether it’s equipping the meteorology departments for more accurate and even real-time predictions on climate change, and earthquakes, or diffusing pandemics, Data Science professionals have the capacity to do it all.
Data Science has branched-off into multiple specialized tracks in the last decade to help global data factories rebuild themselves into producers of Business Intelligence for corporations, government agencies, and other organizations. Though all Data Science professional or specialization tracks still retain their traditional foundations, the methods and tools used to manage big data have changed dramatically – as the scale, complexity, velocity, and variety of data keep exploding through the roof – both confounding and exciting decision-makers at the same time.
The transformation of data into Big Data has not only added to the complexity of conventional data jobs, but it has also generated new categories of interdisciplinary roles and spawned an era of Data Science career tracks – many of which demand multi-dimensional competence. The following are the most important Data Science career tracks to have emerged in the last decade:
Data Scientists blend their knowledge, experience, and insights on business, marketing, specialist subjects, and management with their expertise in research and statistics to explore, define, and innovate ways through which data can be used by organizations to make more accurate, meaningful, and real-time decisions.
They also architect the analytics ecosystem required to convert petabytes of Big Data into solid chunks of Business Intelligence for corporations and governments.
Big Data Analysts model and analyze huge chunks of data in sync with their objectives by using their skills in mining, researching and analyzing data on specialized statistical and mathematical analytics tools.
They deploy their knowledge and understanding of business and management fundamentals to generate insights from their analysis.
Big Data Developers/Engineers design, code, program, and build specialized software applications used in handling and managing Big Data.
They use their skills in programming and software testing to work on popular Big Data platforms such as Hadoop and Spark, and also have knowledge about domain and analytics tools and techniques.
Despite the fact that Data Architects have been around for some time now, it can be argued that they are only now entering the most lucrative phase of their career.
Big Data Architects do all the essential planning and coordinate data resources in an organization. Knowing about application architecture acts as a plus point to advance the career of a Data Architect.
They combine their experience, skills, and expert knowledge about data systems with their exposure to data management processes and data analytics to help build the infrastructure required to cluster, segregate, distribute, mobilize, and transfer Big Data among various stakeholders.
Big Data Administrators are responsible for establishing, managing, and maintaining the infrastructure and ecosystem of a Big Data management set up.
Big Data Administrators utilize their knowledge, experience, and skills in server administration, security, network planning along with their exposure to data management processes. They also handle clustering, segregation, distribution, mobility, and transfer of inbound and throughput data to ensure data keeps reaching intended points without disruption, contamination, and risk.
The other tracks are those of Data Management, Data Visualization, NoSQL management, and Data Warehousing management.
This website uses cookies to enhance website functionalities and improve your online experience. By browsing this website, you agree to the use of cookies as outlined in our privacy policy.