EDF Certified Data Analysis Professional Exam

This is only the EDF Certified Data Analysis Professional Exam. The course that will prepare you for this exam is Data Analysis Deep Dive.
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.
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. 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