Data Literacy (EN)

294867

What is Data Literacy

Data Literacy is the ability to understand, interpret, and communicate with data effectively. In this course, participants will delve into the fundamentals of data, extract meaningful insights, and present findings in a comprehensible manner. From data processing steps to practical data visualization techniques, participants will develop a solid foundation in Data Literacy, empowering them to harness the potential of data in their professional roles.

Who should attend Data Literacy

The target group for this training includes individuals from different professional backgrounds and skill levels who strive to understand and work effectively with data. Here are some important groups within the target group:

• Data enthusiasts across disciplines who want to develop basic Data Literacy skills for future career opportunities.
• Policymakers and administrators in the Government and Public Sector who must make informed decisions based on data.
• Government employees who work with (public) datasets for analysis and reporting.
• Healthcare professionals interested in leveraging data for better patient care and operational efficiency.
• Professionals who work at nonprofit organizations and want to use data for program evaluation, impact assessment, and fundraising.
• Starting IT professionals responsible for managing and maintaining data infrastructures.
• Starting database administrators who want to understand the broader context of data use in the organization.
• Trainers and educators who want to integrate Data Literacy into their curriculum to prepare trainees for the data-driven world.

The aim is to make Data Literacy training accessible and relevant to a broad audience, as the ability to understand, interpret and interact with data is becoming increasingly essential across fields and industries.

Prerequisites

There are no specific requirements to participate in this training. Basic computer literacy is recommended, but the course is structured to accommodate beginners and those with varying levels of familiarity with data concepts.

Objectives

At the end of the course, participants will be able to:

• Understand fundamental data concepts and terminologies.
• Understand how to correctly interpret data, avoiding common pitfalls and ensuring accurate analysis.
• Assess the quality of data and define the relevant steps to improve the data to the desired Data Quality.
• Create compelling visualizations to communicate data insights.
• Apply data literacy skills in real-world scenarios within their respective professions.

Join us on this transformative journey to become proficient in Data Literacy and unlock new possibilities in your professional endeavors.

Exam information

Exam Information:
This training includes a voucher for the official, internationally recognized exam.
The costs of the exam voucher are included in the price of the training. Shortly after the start of the training you will receive a voucher with which you can reserve your exam.
Bear in mind that you must plan your exam at least 5 working days in advance.
For more info check: https://academy.capgemini.nl/en/topic/exams-capgemini-academy

• Exam duration (minutes): 60
• % extra time for non-native speakers: 0
• Number of exam questions: 60
• Minimum correct questions: 39
• Exam style: Multiple choice
• Open book: Yes

Exam guarantee:
We have full confidence in the quality of our training. Therefore, if you take this training in our open schedule, we offer an exam guarantee. This means that you can retake the training for free, and you'll receive a complimentary exam voucher if you don't pass the exam on your first attempt.
The following conditions apply:

• You attended the entire training.
• You took the first exam within 2 months after the training.
• There is a maximum of 1 year between your initial training and the free training.

294867

What is Data Literacy

Data Literacy is the ability to understand, interpret, and communicate with data effectively. In this course, participants will delve into the fundamentals of data, extract meaningful insights, and present findings in a comprehensible manner. From data processing steps to practical data visualization techniques, participants will develop a solid foundation in Data Literacy, empowering them to harness the potential of data in their professional roles.

Who should attend Data Literacy

The target group for this training includes individuals from different professional backgrounds and skill levels who strive to understand and work effectively with data. Here are some important groups within the target group:

• Data enthusiasts across disciplines who want to develop basic Data Literacy skills for future career opportunities.
• Policymakers and administrators in the Government and Public Sector who must make informed decisions based on data.
• Government employees who work with (public) datasets for analysis and reporting.
• Healthcare professionals interested in leveraging data for better patient care and operational efficiency.
• Professionals who work at nonprofit organizations and want to use data for program evaluation, impact assessment, and fundraising.
• Starting IT professionals responsible for managing and maintaining data infrastructures.
• Starting database administrators who want to understand the broader context of data use in the organization.
• Trainers and educators who want to integrate Data Literacy into their curriculum to prepare trainees for the data-driven world.

The aim is to make Data Literacy training accessible and relevant to a broad audience, as the ability to understand, interpret and interact with data is becoming increasingly essential across fields and industries.

Prerequisites

There are no specific requirements to participate in this training. Basic computer literacy is recommended, but the course is structured to accommodate beginners and those with varying levels of familiarity with data concepts.

Objectives

At the end of the course, participants will be able to:

• Understand fundamental data concepts and terminologies.
• Understand how to correctly interpret data, avoiding common pitfalls and ensuring accurate analysis.
• Assess the quality of data and define the relevant steps to improve the data to the desired Data Quality.
• Create compelling visualizations to communicate data insights.
• Apply data literacy skills in real-world scenarios within their respective professions.

Join us on this transformative journey to become proficient in Data Literacy and unlock new possibilities in your professional endeavors.

Exam information

Exam Information:
This training includes a voucher for the official, internationally recognized exam.
The costs of the exam voucher are included in the price of the training. Shortly after the start of the training you will receive a voucher with which you can reserve your exam.
Bear in mind that you must plan your exam at least 5 working days in advance.
For more info check: https://academy.capgemini.nl/en/topic/exams-capgemini-academy

• Exam duration (minutes): 60
• % extra time for non-native speakers: 0
• Number of exam questions: 60
• Minimum correct questions: 39
• Exam style: Multiple choice
• Open book: Yes

Exam guarantee:
We have full confidence in the quality of our training. Therefore, if you take this training in our open schedule, we offer an exam guarantee. This means that you can retake the training for free, and you'll receive a complimentary exam voucher if you don't pass the exam on your first attempt.
The following conditions apply:

• You attended the entire training.
• You took the first exam within 2 months after the training.
• There is a maximum of 1 year between your initial training and the free training.