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EXIN Data Analytics Foundation — Requirements & Free Practice

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EXIN Data Analytics Foundation

EXIN Foundation certification in the lifecycle of collecting, cleaning, analyzing and visualizing data to gain business insights.

Licensing authority: EXIN Holding B.V. · Application information

Initial by examination
EXIN Data Analytics Foundation
Applicability
One currently offered English exam only. Guide Edition 202508 is linked by the current EXIN product page; no applicable announced examination cutoff was found. Unknown official date boundaries remain null; the 21-day individual booking window is not version expiry.
Certification Requirement
Successful completion of the EXIN Data Analytics Foundation exam.
Delivery
EXIN advertises classroom training with exam or self-study with online exam; center availability varies. Organization-arranged registrations can only be rescheduled by the organization. Direct EXIN terms exclude partner-conducted exams.
Online Registration
Create an EXIN account and order the selected examination. Direct EXIN Anywhere availability is usually 21 days after registration, can exceptionally be shorter, and is announced during registration. A compatible computer with webcam, microphone and broadband, recording consent and software-user conditions apply. Maintenance may interrupt service.
Training
The published certification-requirements list contains the examination. The guide recommends 14 contact hours, including group assignments, preparation and short breaks; homework and the exam are not included. Indicative study effort is 56 hours (2 ECTS), depending on existing knowledge. These recommendations do not create mandatory course completion, assignments, prior certification or an additional exam dependency.

EXIN Data Analytics Foundation

Provider
EXIN Holding B.V.
Format
Multiple-choice questions; closed book; no notes or electronic equipment/aides permitted.
Exam questions
Total questions: 40.
Time limit
60 minutes
Passing score
65% (26/40 questions)
Examination outline
  • Turning data into insights (10%)
    • Concepts and the process
    • Business intelligence (BI)
  • Collecting, organizing, managing (32.5%)
    • Data collection
    • Storing data
    • Variables
  • Cleaning (7.5%)
    • Data scrubbing
  • Analyzing (35%)
    • Statistics
    • Data mining
    • Machine learning
    • Algorithms
  • Visualizing (15%)
    • Explanatory and exploratory
    • Charts and plots
    • Design and tools
Examination sources