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Explore DASCA’s comprehensive certification paths tailored for professionals in:
Validate your expertise in designing, building, and managing Big Data infrastructure.
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Master the tools and techniques for advanced data analysis and insight generation.
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Become an expert in data science methodologies and applications.
SDS™ Brochure PDS™ BrochureChoose your qualification and experience level to find the DASCA certification that aligns with your career goals.
Learn about the steps to earn your DASCA certification, from application to becoming a certified professional.
DASCA certification exams are available online worldwide, accessible in 180+ countries with 5th-generation TEI technology.
Find answers to common questions about DASCA certifications, exam process and policies.
Showcase your DASCA certification with digital badges recognized worldwide.
Discover how DASCA Accreditation enhances data science and AI education, ensuring global recognition and academic excellence.
Understand how DASCA Accreditation sets the benchmark for excellence in data science and AI education, aligning institutions with global industry standards.
Examine the framework that upholds high benchmarks for curriculum, faculty expertise, and industry relevance in data science and AI programs.
Understand the institutional and program-level requirements to assess your readiness for pursuing DASCA Accreditation.
Explore the step-by-step process to achieve DASCA Accreditation through a rigorous, globally benchmarked, and digitally powered evaluation.
Discover how DASCA Accreditation enhances institutional reputation, academic quality, and global competitiveness in data science and AI education.
Access comprehensive guides, support tools, and subsidy programs designed to assist institutions throughout their accreditation journey.
Learn about the global network of academic and industry experts who support institutions in delivering high-quality data science and AI education.
Get answers to common questions about institutional eligibility, the accreditation process, ongoing compliance and more.
Begin your DASCA accreditation journey and position your institution among global leaders in data science and AI education.
In today's data-rich and technology-driven landscape, organizations are grappling with vast amounts of information. They urgently need individuals with the expertise to transform this data into actionable insights that fuel growth. SDS™ stands as the most coveted and widely respected evidence of a tech professional’s capabilities to drive organizational success through data and business intelligence.
In the era of Industry 4.0, information has become the lifeblood essential for organizational survival and advancement. Organizations increasingly require astute technology professionals who can transcend technical skills and influence the big picture. SDS™ powerfully proves your evidenced capabilities for designing, developing and leading integrated data and business intelligence ecosystems.
SDS™ is ideally suited for ambitious technology professionals with a solid foundation in research and analytics, having at least 4 years of experience. SDS™ adds speed to your journey of becoming a data leader, a data architect and a business intelligence expert. SDS™ also paves way for PDS™, one of the most esteemed international qualifications for data scientists worldwide.
Go to SDS™ CandidacyThe SDS™ certification program fee is subject to change without notice and does not cover the training fee charged by training companies, universities, or institutions that offer exam preparation training for the SDS™ exam. DASCA is a standards and credentialing body and is not involved in training delivery, nor does it control any aspect of training/education. DASCA does not govern, mandate, or control the training fee or program fee charged for any certification program by any training company or education provider. Any additional online resources provided by independent publishers in some markets are for optional reference and are not associated with DASCA exams or the official DASCA exam-prep handbooks provided to candidates.
This is a one-time fee covering the SDS™ certification exam, standard exam preparation resources (The Data Science Handbook 1, The Data Science Handbook 2), SDS™ credential kit, digital badge, and shipping of materials. Additionally, the digital access and hosting cost of third-party optional study resources are included in the SDS™ fee package wherever applicable. Refund requests made within 24 hours of payment will be subject to a US$ 80 processing fee. No refunds will be issued for registration cancellation requests after 24 hours of registration.
*We honor military and veterans with special fee.
Register NowCandidates are provided high-quality exam-preparation resources for convenient and effective self-study.
Candidates are given 6 months for exam preparation with recommended self-study of 8-10 hrs/week.
Candidates receive an exclusive Digital Badge to showcase and receive recognition for their achievement.
SDS™ is a globally recognized vendor-neutral and cross-platform certification.
SDS™ candidates can conveniently register for and schedule their SDS™ certification exam, and access policy resources and support on their personal and exclusive myDASCA digital dashboard.
Certification exams can be taken in a private, secure location at a convenient schedule, with digital proctoring ensuring continuous security and integrity.
Learn more about SDS™ by downloading the program brochure.
I'd like to strongly encourage anyone to take the opportunity of the SDS™ certification journey, there are no cons, only pros, and remember, never stop learning.
With SDS™, you not only enhance your expertise but also stay ahead of industry advancements, ensuring your relevance and competitiveness in the field of data science.
The SDS™ certification has deepened my understanding of data science and enhanced my ability to apply advanced techniques, making me a more valuable asset to my team.
Candidates for the SDS™ certification program should have a strong knowledge of data analysis using Python (preferred) or R. They should also have experience with SQL for querying relational databases and some familiarity with NoSQL databases like MongoDB. A basic understanding of object-oriented programming concepts is important, with experience in Python, R, or Java being acceptable. Exposure to popular data analytics tools like SPSS or SAS for statistical analysis is beneficial, as well as familiarity with Linux/Unix environments and basic command-line skills. Additionally, candidates should have a general understanding of how data science intersects with fields like business, engineering, and technology. While not mandatory, experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with tools like Hadoop and Spark is also valuable for advancing in the field.
Review the minimum qualifications and work experience required to determine your eligibility for SDS™:
Should have completed a Bachelor's Degree in Computer Science/ Mathematics/ Statistics/ Engineering/ Applied Sciences/ Economics/ Finance/ Management/ Computer Application/ Information Systems or a related discipline.
Minimum 5 years of experience in Data Sciences/ Computing/ Business Analytics/ Business Intelligence
Should have completed a Master's Degree in Computer Science/ Mathematics/ Statistics/ Engineering/ Applied Sciences/ Economics/ Finance/ Management/ Computer Application/ Information Systems or a related discipline.
Minimum 4 years of experience in Data Sciences/ Computing/ Business Analytics/ Business Intelligence
Should have completed Bachelor's Degree in Computer Science/ Mathematics/ Statistics/ Engineering/ Applied Sciences/ Economics/ Finance/ Management/ Computer Application/ Information Systems or a related discipline from any of the DASCA recognized/ accredited Institutions.
Minimum 4 years of experience in Data Sciences/ Computing/ Business Analytics/ Business Intelligence
Current & past students of Master's Degree programs in Computer Science/ Mathematics/ Statistics/ Engineering/ Applied Sciences/ Economics/ Finance/ Management/ Computer Application/ Information Systems or a related discipline from any of the DASCA recognized/ accredited Institutions.
Minimum 3 years of experience in Data Sciences/ Computing/ Business Analytics/ Business Intelligence
All SDS™ candidates are provided with resources to study from and prepare for their SDS™ certification exam. The access to these resources is activated after the completion of registration and fee payment formalities.
The DASCA official exam preparation resources provided to registered SDS™ candidates include:
In addition to the above, independent third-party publishers and content providers offer online resources for reference, practice and learning. Using these resources is optional and not essential for SDS™ exam preparation, and the DASCA fee package covers the cost of digital access and LMS hosting of such material. Please do report any instance or experience in which you were asked to pay separately for any of these study and exam-prep resources, or you observed any attempt by a person or a store or an entity to sell any of these resources. It is reiterated that these DASCA resources are meant to be provided directly only to individuals formally registered in the SDS™ certification program, and they are NOT for sale in the open market or available in book stores anywhere in the world. The images are for representation only.
The two handbooks on data science included in the official DASCA exam preparation kit are the recommended and essential readings for the online SDS™ certification examination. They have been developed around the DASCA Essential Knowledge Framework (DASCA-EKF™), to ensure an effective preparation for the SDS™ certification exam, and at the same time, help aspiring data scientists build longer–lasting base of knowledge and a more in-depth perspective of the most advanced concepts in data science underlying data analytics technologies. Additionally, an candidate guide and practice tests are also provided to SDS™ candidates on their myDASCA dashboard.
The content in the two official DASCA handbooks is grouped across 7 technical sections covering all prescribed SDS™ exam areas. This content aims to develop in learners a strong generic and cross-platform understanding of the concepts, tools, and technologies of handling storage, processing, management, and security infrastructure required in managing large volumes of streaming data.
After passing the SDS™ certification exam, candidates will receive a credential case containing a physical certificate, a lapel pin, and a digital badge. These physical and digital representations of their achievement serve as a testament to their expertise and dedication in the field of data science.
How to Showcase your Credential
*The images are for representation only.
There are six distinct stages of your SDS™ certification journey. Here’s a quick tour of what these stages look like. You may Contact Us for more information.
Before you begin your application, it is important to confirm your eligibility. Start by checking your candidacy here, to ensure that you meet the minimum eligibility requirements for the SDS™ certification program.
Once you've confirmed your eligibility, the next step in starting the application process is to create your myDASCA account. This account will give you access to an easy online application process. You will need to fill out a form with accurate and complete details about your educational qualifications and work experience. After successfully submitting the online SDS™ application form and paying the fee, you will receive a registration confirmation email and access to your myDASCA dashboard.
Note:
After you have successfully completed the SDS™ registration process, the logistics team will contact you via your registered email address to confirm your shipping information. You must ensure and confirm that the shipping address is accurate. If any changes are needed, you should make them within 24 hours of completing your registration. You will receive the DASCA Exam Preparation Kit, which includes two Data Science handbooks for essential reading, within the standard delivery timeframe of 3-4 weeks.
Once you are ready to take the SDS™ certification exam, you can easily schedule it online through your myDASCA dashboard. DASCA provides 180 days from the registration completion date for the candidates to study, prepare for, and take their exams. It is strongly recommended that you thoroughly familiarize yourself with the exam policies prior to scheduling the exam.
Read more about the exam scheduling policy here.
After passing the SDS™ certification exam and meeting other conditions defined by the DASCA Professional Certifications Board (DPCB), the results are published within 10-12 business days of taking and successfully completing the exam.
Once the results are published, the Digital Badge will be made immediately available to you. You can expect to receive the SDS™ credential kit, which includes a printed SDS™ certificate, lapel pin, and the DASCA code of ethics booklet, within 3-4 weeks from the date of the award. You will also receive an email containing details of your digital badge, allowing you to showcase your achievement on social platforms. After receiving your award, you will be able to use the designation after your name.
Maintaining your SDS™ certification by renewing or upgrading to PDS™ is mandatory to ensure that it remains valid and up to date. It's best to renew your credential before the Standard Credential Renewal deadline, as this shows your continuing competence and dedication to the profession.
DASCA will send you reminder emails to renew your credential. You can easily renew by logging into your myDASCA account. Please ensure that your registered email address is current to receive all communications from DASCA.
You can also check if you qualify for an upgrade, which requires meeting specific eligibility requirements. Upgrading your SDS™ certification allows you to demonstrate advanced skills and knowledge in your field, providing you with greater professional recognition and career opportunities.
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