Utilizing Data in Expert Work
Have you ever wondered how to effectively utilize data in your expert work? The course “Utilizing Data in Expert Work” provides you with tools to tackle this challenge. The course is designed as supplementary training that can be completed alongside your job. It is funded by JOTPA and is free for participants.
The course covers the following areas:
- Foundations of Data Usage: You’ll learn about data organization, storage, quality, data ethics, and security.
- Data Visualization and Interpretation: Explore data visualization and its significance in decision-making.
- Data-Driven Approach in Companies: How can a company become data-driven? What does data-driven mean in practice?
- Data in Business: Familiarize yourself with various tools for utilizing data in business operations.
- Strategic Use of Data: Understand how data can be leveraged in different business contexts.
- Information Management vs. Data-Driven Decision-Making: Clarify your understanding of these concepts and their differences.
- Utilizing Artificial Intelligence: Learn about the features of AI and discover practical examples of its application.
The training has been funded by the Service Centre for Continuous Learning and Employment. The Service Centre promotes the competence development of working-age people and the availability of skilled labor. The operations of the Service Centre are overseen by the Ministry of Education and Culture and the Ministry of Economic Affairs and Employment.
The training has been funded by the European Union's Recovery and Resilience Facility (RRF), which is the key instrument of the EU's Recovery Facility (NextGenerationEU). The financing has been granted by the Service Centre for Continuous Learning and Employment. The Service Centre promotes the competence development of working-age people and the availability of skilled labour. The operations of the Service Centre are overseen by the Ministry of Education and Culture and the Ministry of Economic Affairs and Employment.
For
This training is aimed at professionals working in small and medium-sized companies across different industries.
Participants do not need prior expertise in data-related fields, nor do they need to work in specific data-related roles. Others who can benefit from the training are also welcome to participate
Program Structure
Lectures and seminars
Learning Journals
Project Work / Problem-Based Case Work
Learning Objectives:
After the course, you will have a general understanding of data, its utilization, data ethics, and the benefits of data in various business contexts. You’ll grasp the requirements for modern data-driven decision-making and the opportunities it presents for improving business operations. Additionally, you’ll learn to identify situations where data-driven decision-making is not suitable, as well as the challenges and risks associated with it in different business contexts. The course also introduces various analysis tools that assist in processing and reporting collected data, enabling you to present data visually and use it as decision support in your expert work.
Lectures and Seminars:
The course includes 8 hours of online lectures and 8 hours of seminar-style in-person classes. This combination provides a versatile learning experience where you can deepen your knowledge of utilizing data in expert work.
Learning Journals:
You will maintain learning journals for four self-selected lectures. Write down the key takeaways and consider how you can apply what you’ve learned in your own work or studies. You can also reflect on how the lecture content relates to your specific job. These learning journals will help you deepen your understanding and reflect on the topics covered during the lectures.
Project Work / Problem-Based Case Work:
In the course “Utilizing Data in Expert Work,” project work / problem-based case work is an essential part of the learning process. Through these practical tasks, you’ll apply the theoretically acquired skills to real-world situations. These hands-on assignments will enhance your understanding of data utilization and prepare you to apply what you’ve learned in your own expert work.