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EDF Certified Data Analysis Professional

DATA ANALYSIS certified by

About the best practice

IP owner:Effective Data Foundation®
Accreditation institute:Van Haren Certify
Examination institute:certN

In today’s fast-paced business world, companies must make informed decisions based on scientific data and study to stay ahead of the competition. Data analysis has become a critical component of commercial industries, allowing companies to transform raw data into meaningful insights that can guide strategic planning and decision-making processes.

The Effective Data Foundation has created a certification program certifying candidates’ knowledge in data analysis, literacy, and visualization. The program is designed to provide candidates with the necessary skills to analyze and interpret data to drive business decisions effectively.

Certification definition

The EDF Data analysis certification is part of the Effective Data Foundation portfolio. It certifies a candidate’s ability to work with Descriptive Statistics, understand Probability theory and Probability distributions, and perform fundamental Data Analysis.

Certification requirements

Candidates can become certified by passing the EDF Data Analysis certification exam.

Vouchers for the certification exam are available through accredited trainers and Van Haren Group.

Certificate renewal

The EDF Data analysis certificate is valid for two years.

Exam format

The general exam regulations apply to this exam.
Attempts per voucher:1
Number of questions:60
Passing score:65%
Time:60 minutes




Question type:Multiple choice

Exam Syllabus

The following table is an overview of the topics examined in the certification exam.
#questions Level(s) of Cognition Category
1 2 3
5 Understanding Data
  • Understanding the formats of data
  • Recalling the seven V’s of data
  • Understanding the concept of structured, semi-structured, and unstructured data
  • Recalling different data processing types
5 Understanding Data Analysis
  • Understanding the need for data analysis
  • Understanding how data analysis is used
  • Understanding the data analysis process
  • Recalling the types of variables
  • Understanding the difference between numerical and categorical variables
25 Descriptive Statistics
  • Understanding the concept of frequency
  • Understanding the measures of central tendency
  • Understanding the measures of dispersion
  • Understanding data skewness and kurtosis
  • Understanding Outliers and how to handle missing values
  • Understanding how to use descriptive statistics in data analytics
10 Probability Theory
  • Understanding the basic concepts of probability
  • Understanding the most important axioms of probability
  • Understanding conditional probability
5 Probability Distributions
  • Understanding discrete probability distributions
  • Understanding continuous probability distributions
  • Understanding why data distribution is important for data analysis
10 Performing Data Analysis
  • Understanding covariance and correlation
  • Understanding univariate, bivariate, and multivariate analysis
  • Understanding linear regression
  • Understanding Simple linear regression
  • Understanding Multiple linear regression
More information about the levels of cognition
  • Level 1 - Knowledge: This level requires candidates to recall specific information or facts. They should demonstrate the ability to remember and recognize details, terms, or concepts from their learning materials.
  • Level 2 - Comprehension: At this level, candidates are expected to show their understanding of the acquired information. They should be able to interpret, explain, and summarize. Candidates must go beyond mere memorization and demonstrate that they can grasp the meaning and implications of the information they have learned.
  • Level 3 - Application: The focus at this level is on candidates’ ability to apply their acquired knowledge in practical situations. They should be able to use what they have learned to solve problems, apply principles, or implement strategies in real-world scenarios.
  • Level 4 - Analysis: Analysis involves candidates breaking down complex concepts into smaller parts and comprehending the relationships between them. Candidates must display the ability to analyze information, identify components, and understand the underlying connections between them.
  • Level 5 - Synthesis: At this level, candidates are expected to exhibit the ability to create something new by combining different ideas, concepts, or elements. Candidates must demonstrate their capacity to generate hypotheses, design experiments, or develop original solutions to problems. Synthesis involves creativity and the integration of different elements to form a novel whole.
  • Level 6 - Evaluation: This level requires candidates to use judgments or assessments based on criteria and evidence. Candidates must critically analyze information, compare and contrast different perspectives, and make informed decisions. They should demonstrate the ability to evaluate the quality, validity, and reliability of information, arguments, or solutions.

Trainer accreditation

Van Haren Learning Solutions organizes the trainer accreditation for this certification program. More information on the accreditation process can be found on their website.