Coursera module contents and credit values:
This module contains courses and collections that develop soft skills. The collections include courses and projects.
- Learning How to Learn course: 2 credits
- Mindshift: 2 credits
In addition to these two courses, there are four collections in the module. 2 credits are awarded for completing one collection.
Collection I: Gurantee a successful enter to the labor market (2 credits)
- Build a professional resume using Canva
- Create a Profile and Network on LinkedIn
- Preparation for job interviews
- Assimilating into Your New Job
Collection II: Develop your problem-solving skills with practical methods (2 credits)
- Solving Problems with Creative and Critical Thinking
- Conduct a 5 Whys Analysis in Miro Project
- Design Thinking: Ideas to Action
Collection III: Increase your self-knowledge and personal efficiency with (2 credits)
- Positive Psychology: Resilience Skills
- Tools and Techniques for Managing Stress
- Personal Productivity, Time Management and Prioritization
Collection IV: Effective workplace communication (2 credits)
- Developing Interpersonal Skills
- Verbal Communications and Presentation Skills
- Becoming Part of the Globalised Workplace
- Enhance Organizational Communications with Slack
- Collaborate Effectively for Professional Success
Coursera intelligens szakosodás module contents and credit values:
This module contains courses, specialisations and professional certificates mainly focused on developing digital, technical and entrepreneurial skills.
The following courses are worth 2 credits each:
- Foundations of Project Management
- Foundations: Data, Data, Everywhere
- Introduction to Front-End Development
- Programming for Everybody (Getting Started with Python)
- Introduction to Data Analysis Using Excel
- Game Design and Development 1: 2D Shooter
- Game Design and Development 2: 2D Platformer
- Preparing Data for Analysis with Microsoft Excel
- Work Smarter with Microsoft Word
- Work Smarter with Microsoft Excel
- Work Smarter with Microsoft PowerPoint
- Create Informative Presentations with Microsoft PowerPoint
- Introduction to Data Analytics
- Everyday Excel, Part 1
- Data Analysis and Visualization with Power BI
- What is data science?
- Introduction to Programming with MATLAB
- Prompt Engineering for ChatGPT
- AI & Law
- AI for Medical Diagnosis
- Python for Data Science, AI & Development
There are two specialisations in the module. Each course (4 courses) within the specialisation is worth 2 credits, so 8 credits can be earned for completing the entire specialisation.
- Excel Skills for Business (specialisation with 4 courses): 8 credits in total
- Leading the Modern Day Business (specialisation with 4 courses): 8 credits in total
15 professional certificates are available in the module from Google and IBM. These consist of several courses, so they take longer to complete, but they provide useful, practical knowledge, a professional certificate certified by the companies and several credits.
- Google Data Analytics: 7 credits
- Google Project Management: 6 credits
- Google IT support: 5 credits
- Google Digital Marketing and E-Commerce: 7 credits
- Google UX Design: 9 credits
- Google IT Automation with Python: 5 credits
- Google Cybersecurity: 7 credits
- Google Business Intelligence: 3 credits
- Google Advanced Data Analytics: 8 credits
- IBM Data Engineering: 8 credits
- IBM Data Science: 6 credits
- IBM Cybersecurity Analyst: 4 credits
- IBM Data Analytics with Excel and R: 4 credits
- IBM Data Analyst: 6 credits
- IBM Full Stack Software Developer: 6 credits
