Become data Literate

Have a basic understanding of statistical and computational concepts, as well as the ability to use tools and technologies to work with data.


Analyze and see opportunities

Process and evaluate data using statistical and computational techniques to uncover patterns, trends, and relationships. Involve and prepare data, explore and visualize data to discover insights.



Visualize and leverage

Data visualization is an important tool as it helps to uncover patterns and trends in data that might not be immediately apparent from looking at raw data. 

Effective Data Foundation Certification

Discover the ecosystem

Learning materials

Find quality approved training materials for classroom training or self-study

Accreditation of Education Partners

Find trainers that are accredited based on a transparent and quality-based accreditation scheme compliant with Effective Data Foundation guidelines.


Test your knowledge and become certified based on quality certification standards.

Redeem your badge

Showcase your proficiency in Data and share your achievements on LinkedIn.

An initiative by
the coalition of
the willing


is a non-profit consortium that promotes and facilitates the usage of the Management methods in Data in an Effective and sustainable manner.

What is the Effective Data Foundation

The Effective Data Foundation (EDF) is a consortium of professionals and institutes specializing in Data and data-related subjects and specializations.

It does not only focus on professionals with an IT back ground. But has the ambition to enable all business professionals to leverage data.

EDF aims to be able to make data-guide decisions. Contrary to organizations that believe they should be data-driven, EDF believes that the human factor remains vital, therefore data-guided. 

Transparent & Open

Get involved with the Effective Data Foundation

All partners share values of transparency, excellence and equity

Training organisations

Training partners are accredited based on strict guidelines that safeguard training quality and effectiveness as the Master of Growth consortium set out.

Member organizations

Member organizations support the mission of the Master of Growth Consortium and commit to achieving the common goal, each member in its own way

The Effective Data Foundation Certification Council​

Expert pannel

The Effective Data Foundation has established a certification council that provides advice on content-related matters and is responsible for auditing the Effective Data Foundation certifications.

The Certification Council is an independent panel of Effective Data Foundation and education experts representing different industries and interests.

Council members are selected from member organizations of the Effective Data Foundation. Based on their experience, network, and contributions to Data.

Ton Godtschalk | Managing Consultant at Capgemini

portfolio lead of the Tech Academy within the Capgemini Academy. With an extensive background in the Data Management domain

Michel Dekker | Founder Nova Silva

Combines experience and expertise on Dashboards to improve performance.

Victor De Graaff | Founder at D-Data

Victor takes everyone on a journey through the land of AI

Ben de Jong |
Senior Data Analist

Helps with improving visualisations

The importance of understanding your data.

Being data literate means having the skills to ask questions of data, to explore and analyze data to discover patterns and insights, and to use data to inform decision-making. It also involves the ability to communicate findings and insights to others in a clear and effective manner, using visualizations and other techniques as appropriate.

Data literacy is an important skill in today’s world, as data is increasingly used in a wide range of fields and industries. It is especially important for professionals who work with data on a daily basis, such as data analysts, data scientists, and business intelligence professionals. However, data literacy is useful for anyone who wants to be able to make informed decisions based on data, regardless of their profession. 

There are many tools and techniques used in data analysis, including Excel, SQL, R, Python, and others. The specific tools and techniques used depend on the nature of the data, the questions being asked, and the goals of the analysis.

Data analysis is an important skill in many fields, including business, finance, science, and public policy. It is used to inform decision-making, develop new products and services, and understand complex phenomena. Data analysts, data scientists, and other professionals who work with data use data analysis to extract meaning from data and communicate their findings to others.

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