EDF Data Literacy Professional Certification Exam

Course code: EDFDATALFEXAM

This is only the EDF Data Literacy Professional Certification Exam. The course that will prepare you for this exam is EDF Data Literacy Professional.

The EDF Data literacy certification is part of the Effective Data Foundation portfolio. It signifies an individual’s comprehensive understanding and awareness of data literacy, enabling them to foster its adoption and application for informed decision-making.

Certified candidates have demonstrated their ability to comprehend the nature of data, ask critical questions, summarize data accurately, and understand the processes involved. They possess knowledge of data quality, utilize data for performance measurement, and are conscious of the impact of expectations and biases in analysis. Certified candidates recognize human biases, understand different types of data analysis, consider contextual factors, and apply storytelling principles to communicate data arguments effectively.

200 EUR

242 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: 200 EUR

	Starting date	Place	Type	Course duration	Language	Price without VAT
	Upon request		Exam	1 hour	en	200 EUR	Register
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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
15	✓	✓		Reading data Describe the key properties of data Describe how to summarize data Recognize typical pitfalls when consuming data Describe the main questions to check any data expression
15	✓	✓		Working with data Describe how data is created Describe the differences between machine and human generated data Describe the differences between mandatory and optional data Recognize the data quality dimensions Recognize the best data structure for analysis Describe the three basic data cleaning phases Describe how to define performance measures
15	✓	✓		Analyzing data Recognize the impact of our expectations on our analysis results Describe the principal thinking shortcuts Describe the main types of analysis Describe the main analytical skills
15	✓	✓		Arguing with data Describe the key properties of the Explore phase Describe the key properties of the Explain phase Recognize the activities belonging to a specific phase Describe the typical data forgeries Describe the main steps in the data storytelling arc

Target group

This certificate is designed for anyone who wants to understand and analyse data more quickly and communicate effectively.

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