EDF Certified Data Analysis Professional Exam

Course code: DATAANEXAM

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.

250 EUR

303 EUR including VAT

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Course dates
Course description
Target group
Course structure
Certification
Follow-up courses

Course dates

Starting date: Upon request

Type: Exam

Course duration: 1 hour

Language: en

Price without VAT: 250 EUR

	Starting date	Place	Type	Course duration	Language	Price without VAT
	Upon request		Exam	1 hour	en	250 EUR	Register
G	Guaranteed course

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Course description

The following table is an overview of the topics examined in the certification exam.

#questions	Level(s) of Cognition			Category
#questions	1	2	3	Category
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

Target group

This data analysis certification is perfect for anyone who needs an introduction to Data Analysis such as Business Analysts, Management, Engineers, Developers.

Course structure

Attempts per voucher:	1
Number of questions:	60
Passing score:	65%
Time:	60 minutes
Open-book:	No
Language:	English
Invigilation:	None
Question type:	Multiple choice