Anadolu Info Package Anadolu Info Package
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Profile of the Programme Specific Admission Requirements Qualification Requirements and Regulations Recognition of Prior Learning Educational Staff Programme Director & ECTS Coord. Field Qualifications Key Learning Outcomes Course Structure Diagram with Credits Matrix of Program Outcomes&Field Qualifications Matrix of Course& Program Qualifications Examination Regulations, Assessment and Grading Graduation Requirements Access to Further Studies Occupational Profiles of Graduates
  • Vocational School of Information Technologies
  • Department of Statistics
  • Program in Big Data Analyst
  • Key Learning Outcomes
# Key Learning Outcomes
1 Possesses fundamental, up-to-date, and practical knowledge related to their profession.
2 They are knowledgeable about occupational health and safety, environmental awareness, and quality processes.
3 Keeps up with current developments and applications in their profession and uses them effectively.
4 Effectively uses information technologies (software, programs, animation, etc.) related to their profession.
5 Possesses the ability to independently evaluate professional problems and issues using an analytical and critical approach and to propose solutions.
6 Can effectively present their thoughts in writing and verbally at the level of knowledge and skills, expressing themselves clearly.
7 Takes responsibility as a team member to resolve complex and unforeseen issues encountered in applications related to the field.
8 Has awareness of career management and lifelong learning.
9 The collection, application, and dissemination of data related to the field are guided by social, scientific, cultural, and ethical values.
10 Uses a foreign language to keep up with developments in their field and communicate with colleagues.
11 Understands data types and categories.
12 Gains experience in data analysis methods.
13 Can perform statistical data analysis.
14 Gains experience with big data platforms.
15 Is knowledgeable about big data security.
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