Course Tag: path1

P1-C4: Data Spaces

Course 4: Data Spaces

Course agenda

In this course, you will find:

  • Data economy.
  • Data exchange between organizations.
  • Fundamentals of data spaces.
  • European data economy and initiatives.
  • Data spaces use cases.

Organizational info:

  • This course contains 5 lessons.
  • Lessons include written content, video and downloadable materials.
  • To complete this course, you need 900 – 1200 minutes (15 – 20 days).
  • You can pause the course anytime and return to where you finished whenever you want.
  • You can follow the course as it flows or at your own pace, rearranging the order of the lessons.
  • At the end of the course, you will take a test containing 8 questions. 
  • You can take the test 2 times, if necessary. 
  • You must score min. 85% of the correct answers to receive the official certificate of completion.

Need more details?

Participants’ Pains

We know that…

Exchanging data between organisations can be complex, especially when multiple organizations are involved. It can be challenging to define property rights and usage policies.

Data often comes from various sources using different formats and standards. In the absence of effective interoperability, sharing information turns ineffective and susceptible to mistakes.

When companies fail to recognize distinct advantages from sharing their data or perceive risks, they might be reluctant to get involved. This absence of participation can obstruct the overall efficiency and growth of the data ecosystem.

Participants’ Gains

So, we developed this course, in which…

Data spaces open up new revenue and markets for businesses, allowing companies to monetize their data.

Data spaces enable organizations across industries (e.g., healthcare, finance, manufacturing) to share data in ways that were previously not possible.

Data spaces facilitate new collaborative business models where companies can pool their data and create innovative solutions together. Data-as-a-service (DaaS) and platform ecosystems are examples of such models.

P1-C3: Managing, integrating and analyzing data inside and between organizations.

Course 3: Managing, integrating and analyzing data inside and between organizations.

Course agenda

In this course, you will find:

  • Data-driven business strategy and management.
  • Advanced data visualisation.
  • Cybersecurity applied to data exchange between organizations.
  • Use cases and applications.

Organizational info:

  • This course contains 4 lessons.
  • Lessons include written content, video and downloadable materials.
  • To complete this course, you need 900 – 1200 minutes (15 – 20 days).
  • You can pause the course anytime and return to where you finished whenever you want.
  • You can follow the course as it flows or at your own pace, rearranging the order of the lessons.
  • At the end of the course, you will take a test containing 8 questions. 
  • You can take the test 2 times, if necessary. 
  • You must score min. 85% of the correct answers to receive the official certificate of completion.

Need more details?

Participants’ Pains

We know that…

Data exchange breach: as organizations exchange data with each other, they become a target for cybercriminals.

The volume of data is constantly growing and the variety makes it hard to find relevant data and create a dataset.

Data visualization should be shown in an easy way to grasp, but including all the critical points together.

Participants’ Gains

So, we developed this course, in which…

In a competitive market it is necessary to analyze data related to competitors, sales, customer reviews, among others. The information collected helps in innovative product/service development.

By visualizing data from clients, SMEs can offer products/services according to customer needs (almost personalized).

Businesses can use data-driven business strategy and management to identify revenue opportunities and boost operational efficiency.

P1-C2: Business data evaluation and big data management

Course 2: Business data evaluation and big data management

Course agenda

In this course, you will find:

  • Fundamentals of data management and big data.
  • Big Data intelligence: methods and technologies in the business landscape.
  • Business Applications of Big data analytics.

Organizational info:

  • This course contains 3 lessons.
  • Lessons include written content, case studies, video/audio and downloadable materials.
  • To complete this course, you need 900 – 1200 minutes (15 – 20 days)
  • You can pause the course anytime and return to where you finished whenever you want.
  • You can follow the course as it flows or at your own pace, rearranging the order of the lessons.
  • At the end of the course, you will take a test containing 20 questions. 
  • You can take the test 2 times, if necessary. 
  • You must score min. 85% of the correct answers to receive the official certificate of completion.

Need more details?

Participants’ Pains

We know that…

Implementing big data is expensive, what more as the amount of data grows exponentially, so does the infrastructure.

One of the challenges SMEs face is a lack of big data professionals.

People might not know what data is, its storage, processing, importance and tools.

Participants’ Gains

So, we developed this course, in which…

Not using the right tools, does not allow to make the most of the data sources. New tools for big data are developed frequently, so it is correct to find a solution that is flexible enough to future infrastructure changes.

Big data also helps businesses make faster decisions by increasing the speed at which data insights are obtained.

Big data tools help to reduce data loss by allowing users to keep a backup of the data.

P1-C1: Data protection and privacy in digital services. EU data protection rules.

Course 1: Data protection and privacy in digital services. EU data protection rules.

Course agenda

In this course, you will find:

  • Data protection in Europe. European legislation with data protection implications.
  • The General Data Protection Regulation (GDPR).
  • European Data Governance Act.
  • Digital Services Act.
  • Good practices in data protection and privacy.

Organizational info:

  • This course contains 5 lessons.
  • Lessons include written content, video/audio, and downloadable materials.
  • To complete this course, you need 900 – 1200 minutes (15 – 20 days)
  • You can pause the course anytime and return to where you finished whenever you want.
  • You can follow the course as it flows or at your own pace, rearranging the order of the lessons.
  • At the end of the course, you will take a test containing 8 questions.
  • You can take the test 2 times, if necessary.
  • You must score min. 85% of the correct answers to receive the official certificate of completion.

Need more details?

Participants’ Pains

We know that…

Organizations must review how data is managed, including who has access and how it is used. Not having policies and procedures for managing data, do not guarantee compliance with data protection legislation.

Organizations should promote a security culture from the top down, ensuring people within the organizations understand the importance of data privacy.

Allocating enough resources and expertise to data protection and privacy issues is another concern in companies. Especially, SMEs may not have the knowledge, expertise or financial resources necessary to carry out data protection impact assessments, data breach notifications or data audits, in contrast to large companies.

Participants’ Gains

So, we developed this course, in which…

SMEs allocating resources and expertise to data protection regulations, in order to prevent attacks on ICT systems, digital devices, databases, internal networks and data-in-transit.

People will share more data if European regulations are in a position to protect the sharing of personal data. Protecting organizations’ systems is fundamental to complying with EU rules and avoiding hacking.

Data protection regulations is one of the top policy priorities that the European Commission must address to ensure stronger enforcement on the exchange of personal data in the EU’s economic sectors.

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