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  • Digital Innovation Based on Statistical Data

Digital Innovation Based on Statistical Data

Ref. IDADEST
CategoryExact Sciences and Technology
Turn data into decisions! Master the fundamentals of digital innovation and learn how to apply statistical analysis to lead change and drive organisational success.
  • Duration: 3 hours
  • Effort: 3 hours
  • Pace: Self paced
  • Languages: English and portuguese
  • 1,520 already enrolled!
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What you will learn

  • Explore the fundamentals of digital innovation and its impact on organisations.
  • Identify methods for collecting and analysing statistical data.
  • Identify how statistical data is applied to develop and optimise innovation processes.
  • Identify the challenges involved in implementing data-driven digital innovations. 

Description

This course has been designed to equip participants with the knowledge and tools needed to understand the fundamentals of digital innovation and to master methods for collecting and analysing statistical data. Throughout the learning journey, practical ways of applying this data to the creation of innovative and effective solutions will be explored, along with the main challenges and opportunities associated with their implementation. The course is ideal for professionals from a wide range of fields who want to drive innovation within their work environments, make more informed decisions and lead with confidence in the digital age. Invest in your future and become a data-driven agent of change!

Assessment and certification

At the end of each module, in order to assess your progress, you will complete a test with a compulsory learning check, which will account for 50% of the final grade.

At the end of the course, you will take a Final Assessment Test worth 50% of the final mark.

Course plan

Part 1 | Fundamentals of digital innovation
• Module 1: What is digital innovation?

Part 2 | Collection and analysis of statistical data
• Module 2: How is data collected?
• Module 3: How is data analysed?

Part 3 | Applying statistical data to innovation
• Module 4: How data supports innovation

Part 4 | Challenges and opportunities in digital innovation
• Module 5: Challenges in digital innovation
• Module 6: Opportunities in digital innovation

Organizations

ARTE | Academia Portugal Digital

License

License for the content created by course participants

Attribution-NonCommercial-NoDerivatives

You are free to:

  • Share — copy and redistribute the material in any medium or format

Under the following terms:

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • NonCommercial — You may not use the material for commercial purposes.
  • NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
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