EXIN Data Analytics Foundation study guide
EXIN Data Analytics Foundation · Work through your exam, one topic at a time.
The EXIN Data Analytics Foundation page currently returns a "Page not found" error, so this study guide is built from the exam's published domain structure rather than from an official EXIN specification sheet. Treat every number below as unconfirmed until EXIN restores the certification page. The credential is an entry-level, vendor-neutral certificate for people who work with data but are not necessarily analysts: business and marketing staff, product owners, project managers, junior analysts, and anyone moving into a data-driven role. It tests whether you understand the vocabulary and reasoning behind analytics work, not whether you can write code. Topics on this exam: Data Analytics Fundamentals, Data Analysis Process, Data Visualization and Reporting, and Data Governance and Ethics. The EXIN Data Analytics Foundation study guide has 4 sections and about 1,430 words.
01Data Analytics Fundamentals
The Data Analytics Fundamentals domain tests whether you can classify data, distinguish analytics types, and judge data quality before analysis starts. Expect definition and scenario questions, not tool-specific commands. Data are raw recorded facts or symbols without context. Information is data processed into meaning, such as a monthly sales total.
358 words, about 2 min02Data Analysis Process
The Data Analysis Process domain tests your knowledge of the lifecycle from business question to deployed result. Expect questions on CRISP-DM, preparation, sampling, model evaluation and iteration. CRISP-DM has six phases: business understanding, data understanding, data preparation, modeling, evaluation and deployment. The phases are iterative, not a strict waterfall; evaluation can send you back to data preparation or business understanding.
357 words, about 2 min03Data Visualization and Reporting
The Data Visualization and Reporting domain tests how to choose charts, encode values honestly, and deliver reports that support decisions. Expect scenario questions on chart fitness, misleading design, dashboards and audience. Use bar charts for comparing categories, line charts for trends over time, scatter plots for relationships between two numeric variables, histograms for distributions, and box plots for spread and outliers. Pie charts work only for a few parts of one whole; many slices become unreadable.
357 words, about 2 min04Data Governance and Ethics
The Data Governance and Ethics domain tests who controls data, how quality and security are maintained, and how privacy and fairness obligations shape analytics. Expect questions on roles, policies, metadata, lawful use and ethical risk. Data governance is the decision-rights and accountability framework for data: policies, standards, owners, stewards and escalation. Data management executes those decisions.
358 words, about 2 min