Context:

Data science has emerged as a valuable skill across various industries, and developing Data Science skills can open up new career opportunities or enhance professional job skills. However, balancing a busy schedule with work, study, and other commitments requires efficient ways to find high-quality, practical courses.

Trigger:

A learner seeking to build or expand data science skills searches for relevant online courses on the DALIA platform to improve career opportunities or enhance current job skills.

Actions:

• The learner logs into the DALIA platform.
• The learner uses the search functionality, applying filters to specify the type of course they are looking for, such as “Target Group”, “Language”, “Learning Resource Type”.
• The learner uses the keyword “AND” between search terms in the search bar to ensure all search terms must appear in the search results.
• The platform displays a list of relevant courses, which can be filtered and arranged based on filters.
• The learner selects a course that meets their criteria, enrolls, and begins learning.

Expected Outcomes:

• Ability to search for specific terms that must appear within the description of the documents.
• Courses can be quickly assessed and compared using detailed metadata and content, aiding in the selection of the most appropriate option.
• The selected course provides practical, hands-on knowledge that can be applied immediately to current work or used to enhance career-related skills.

Acceptance Criteria:

• The platform allows the use of “AND” keyword to combine search terms.
• Filters are available and user-friendly.
• Courses are practically oriented, providing hands-on knowledge, and not overly theoretical, catering to the needs of a demanding learner.
• Courses can be quickly identified based on clear descriptions and metadata, making the selection process efficient.