Expert Talks

Certifications
Certifications

Explore DASCA’s comprehensive certification paths tailored for professionals in:

Data Engineering

Validate your expertise in designing, building, and managing Big Data infrastructure.
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Data Analytics

Master the tools and techniques for advanced data analysis and insight generation.
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Data Science

Become an expert in data science methodologies and applications.
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Explore

> Check Your Eligibility

Choose your qualification and experience level to find the DASCA certification that aligns with your career goals.

> Certification Process

Learn about the steps to earn your DASCA certification, from application to becoming a certified professional.

> DASCA Examination and Policies

DASCA certification exams are available online worldwide, accessible in 180+ countries with 5th-generation TEI technology.

> Frequently Asked Questions

Find answers to common questions about DASCA certifications, exam process and policies.

> Digitally Badged Credentials

Showcase your DASCA certification with digital badges recognized worldwide.
Accreditation
Partnership
Partner with DASCA: Drive Data Science Excellence

Join the rapidly growing DASCA network of leading tech schools, higher education institutions, IT training companies, and government organizations. Partner with DASCA to prepare your students and professionals for globally recognized data science certifications. Start your partnership journey today.
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For Universities & Institutions

Get your academic programs DASCA accredited and join an elite group of institutions shaping the future of data science. Leverage the World Data Science Initiative's subsidy program to strengthen your academic offerings.

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For Tech Companies & Other Organizations

Get your teams DASCA-certified and ensure they meet global standards in data science. Partner with us to drive sustainable skills development and long-term growth for your organization.
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For Training Companies

Offer training programs that prepare candidates for DASCA certification exams. Position your academy as a trusted provider of exam-focused education for aspiring data science professionals.
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For Advocacy Partnership

Collaborate with DASCA to promote standards-based data science education. Align your curriculum with DASCA’s globally recognized framework and contribute to advancing the field’s future.
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Framework
The DASCA Standard of Excellence in Credentialing

The DASCA Body of Knowledge and the Essential Knowledge Framework (EKF™) define the most rigorous standards for professional excellence in Data Science. Together, they ensure that DASCA certifications reflect the highest levels of competency and expertise for data professionals.
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DASCA Body of Knowledge: Foundation for Expertise

The DASCA Body of Knowledge serves as the foundation for all DASCA certifications, ensuring each credential reflects deep, industry-wide standards of excellence in data science and analytics.

Essential Knowledge Framework (EKF™): Defining Data Science Competencies

The Essential Knowledge Framework (EKF™) outlines the authoritative skills and knowledge required for data science professionals, providing a clear, structured path to achieving DASCA certifications.
Initiatives
About
About

DASCA standards, knowledge frameworks, certification and accreditation programs together reflect industry-leading initiatives that develop Big Data analysts, engineers, and data scientists capable of working across diverse analytics technologies and platforms.

The Credentialing Framework
Uncover DASCA’s dynamic Credentialing Framework, which reinforces industry leadership through its Essential Knowledge Framework (EKF™) and Data Science body of knowledge.

DASCA Governance
Learn about DASCA’s governance structure, ensuring neutrality, independence, and adherence to the highest credentialing standards.

The Data Science Era
Explore how Big Data is transforming industries globally, driving innovation, and creating new opportunities across sectors.

Data Science Professions
Discover the emerging career tracks in Data Science and how professionals are adapting to the rapidly evolving data landscape.
Accreditation and Credentialing

DASCA’s pioneering credentials for data analysts, data engineers, and data scientists are cross-platform, vendor-neutral, and adaptable across a wide range of industries and operational levels. Our certifications equip professionals with the skills they need to excel in today’s dynamic data landscape, ensuring they are prepared for diverse roles in data-driven environments.

For Analysts, Engineers, & Data Scientists
Explore how DASCA certifications prepare you for roles in diverse industries, providing cross-platform skills and vendor-neutral expertise.

For Graduating Students
Equip yourself with globally recognized credentials to start your career in data science on the right foot.

For Institutions & Universities
Get your institution DASCA-accredited to join the league of the leading global Data Science educators.

For Organizations & Recruiters
Discover how DASCA-certified professionals bring value to your organization with advanced data science skills.
Get Started

Start your data science journey with DASCA. Whether you're an individual pursuing certification, an institution seeking DASCA accreditation, or an organization exploring partnership, the process is simple and entirely online to help you achieve your goals.

Contact Us

For any questions about certifications, partnerships, or DASCA accreditation, feel free to get in touch.

Newsroom

Stay up to date with DASCA’s latest announcements and developments. Explore press releases, certification updates, expert insights on data science trends, and learn about DASCA’s global initiatives.

Natural Language Processing for Sentiment Analysis

Explore the impact of Large Language Models (LLMs) on Natural Language Processing (NLP). Understand the significance of classification problems in NLP and associated challenges. Discover the connection to other Data Science topics. Watch the complete discussion with Dr. Victor Maia, PDS™, and Prof. Carmine Buono from Rome Business School, to learn more about NLP and how you can utilize its capabilities for a deeper understanding of text data sentiments.

Generative AI

Dr. David Schuster, PDS™, discusses various aspects of Generative Artificial Intelligence with a focus on the ethical considerations surrounding it, as well as its unprecedented impact. Learn what the niche role of a lead analytic methodologist entails and its importance in ensuring continuous ML/AI innovation. Understand concerns about data integrity and privacy surrounding Generative AI and how they are different in scope and scale from other artificial intelligence models such as classifiers and regressors.