ICDL Data Analytics (ICDL) study guide
ICDL Data Analytics · Work through your exam, one topic at a time.
ICDL Data Analytics is a professional-level certification within the ICDL programme family, which the ICDL Foundation describes as a global social enterprise committed to raising standards of digital competence in the workforce, education and society. The ICDL PROFESSIONAL strand is positioned as professional digital skills for occupational effectiveness, so the Data Analytics credential is aimed at people who already handle data in a job or are preparing for one - analysts, administrators, marketers, and students moving into data-facing roles - rather than at complete beginners. Candidates should expect coverage across four broad areas: the fundamentals of data analytics, analysis and visualization techniques, managing data and producing reports, and using findings to support decisions. Preparation is typically practical: work through each domain in the order above, build fluency with spreadsheet and charting tasks, and practise interpreting results rather than memorising definitions. The ICDL Data Analytics study guide has 4 sections and about 1,217 words.
01Data Analytics Fundamentals
You need a working vocabulary for the analytics lifecycle: problem definition, data collection, cleaning, exploration, modelling, interpretation, and communication. Know the difference between descriptive (what happened), diagnostic (why it happened), predictive (what is likely to happen), and prescriptive (what should be done) analytics.
314 words, about 2 min02Data Analysis and Visualization
This domain tests whether you can select, build, and read charts, and whether you can perform basic analysis correctly. Know which chart suits which question: bar charts compare categories, line charts show trends over time, scatter plots show relationships between two numeric variables, histograms show the distribution of one numeric variable, pie charts show parts of a whole (and only with few slices), and box plots show spread and outliers.
312 words, about 2 min03Data Management and Reporting
You must understand how data is stored, protected, and turned into reports. Know the basics of relational databases: tables, records, fields, primary keys, foreign keys, and relationships.
298 words, about 1 min04Data-Driven Decision Making
This domain tests whether you can turn analysis into defensible decisions. Understand the decision cycle: define the question, identify required data, analyse, interpret, decide, act, and review.
293 words, about 1 min