Data Science Fundamentals Certificate Practice Test

This certificate is designed for students, recent graduates, and early-career IT professionals who are looking to establish or formalize foundational knowledge in data science. It is particularly well-suited for individuals with up to one or two years of IT experience who want to validate their skills and differentiate themselves in the job market. Professionals seeking to transition into data-focused roles such as data analyst, junior data scientist, business intelligence analyst, or IT associate will find this credential a strong starting point.

Teams and organizations looking to upskill staff in data literacy and data-driven decision-making also benefit from this certificate. Because there are no prerequisites, it is accessible to career changers and those new to IT who want a structured, vendor-neutral introduction to data science concepts and processes.

ISACA requires no formal prerequisites to register for the Data Science Fundamentals Certificate exam. Candidates can register at any time without needing to demonstrate prior certifications, degrees, or professional experience. This open-access approach makes the certificate truly entry-level and accessible to anyone beginning their data science journey.

That said, candidates benefit most from a basic familiarity with computing concepts and general IT fundamentals before attempting the exam. Prior exposure to spreadsheet tools, basic statistics, or introductory programming concepts — while not required — will help candidates engage more effectively with the performance-based lab questions and the Data Science Process domain content.

The Data Science Fundamentals exam consists of 60 questions and must be completed within 120 minutes. It is delivered as a computer-based, remotely proctored exam, meaning candidates take it online under live supervision without visiting a physical testing center. The exam blends two question formats: traditional multiple-choice knowledge questions and performance-based questions administered within a live virtual lab environment, where candidates must demonstrate hands-on skills rather than simply recall facts.

Candidates must earn a score of 65% or higher to pass. Exam registration is continuous with no fixed deadlines, and eligibility is valid for 12 months from the date of registration. Testing appointments can be scheduled as early as 48 hours after payment. The exam fee is $120 USD for ISACA members and $144 USD for non-members. Candidates may reschedule without penalty up to 48 hours before their scheduled appointment.

• 1.Data Management (42%): Covers foundational concepts and practices for handling data throughout its lifecycle, including data characteristics, data types, data structures, data governance principles, data storage systems, and data quality management. Candidates must demonstrate understanding of how data is organized, stored, and maintained within enterprise environments.
• 2.Data Science Process (33%): Focuses on the methodologies and workflows used in data science initiatives, including problem framing, data collection, data preparation, exploratory data analysis, model building, evaluation, and deployment. Candidates demonstrate knowledge of how data science projects are structured and executed from start to finish.
• 3.Data Science Concepts (25%): Addresses core terminology, theoretical principles, and foundational ideas underlying the data science discipline, including key definitions, common statistical methods, KPI measurement, data visualization techniques, and how data analysis supports business decision-making.

• Use the official ISACA Data Science Fundamentals online interactive course as your primary study resource — it is authored by global industry experts, aligned directly to the three exam domains, and awards 9.5 CPE credits upon completion.
• Purchase or access the official ISACA study guide, which outlines exam objectives, provides domain-by-domain coverage, and includes example questions with recommended answers to help calibrate your understanding of the expected depth.
• Spend dedicated practice time inside the virtual lab environment. Since the exam includes performance-based questions in a live lab, hands-on familiarity with executing data tasks is critical and cannot be replaced by reading alone. ISACA's lab package provides 12-month access.
• Prioritize the Data Management domain in your preparation, as it accounts for the largest share of exam content at 42%. Focus on data types, data structures, lifecycle management, and governance concepts before moving to the other two domains.
• Practice with ISACA's official sample questions to familiarize yourself with both the multiple-choice format and the style of performance-based prompts. Timed practice under realistic conditions will help you manage the 2-hour window effectively across 60 questions.
• Review foundational statistics and KPI concepts as part of your Data Science Concepts preparation, paying particular attention to how statistical methods are applied to interpret data sets and support business decisions.
• Join the ISACA community forums and study groups, where candidates share exam experiences and preparation strategies. ISACA membership ($45 for students) also reduces the exam fee and provides access to additional resources.

Earning the Data Science Fundamentals Certificate signals to employers that a candidate has verified, vendor-neutral foundational knowledge in one of the most in-demand areas of technology. As part of ISACA's broader ITCA framework, the credential is recognized across approximately 130 IT occupations and is associated with over 210 specialized skills tracked in the labor market. For entry-level professionals, it provides a competitive differentiator in job postings where data literacy is increasingly expected even in non-specialist roles.

ISACA certifications broadly are associated with significant salary premiums — ISACA's own research and Foote Partners' IT Skills and Certifications Pay Index have consistently ranked ISACA credentials among the highest-paying in the industry. While the Data Science Fundamentals Certificate targets foundational roles such as data analyst, business intelligence associate, or IT generalist, it also serves as a stepping stone toward more advanced data science and governance certifications. Combined with ISACA's global reputation, this credential provides both immediate career differentiation and a structured pathway for long-term professional development in data-driven roles.