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Objectives and competences

In this course the students: 1. Gain a strong foundation in the areas that support analytics 2. Are able to use theoretical knowledge in data analytics practices executed in the business world 3. Recognise and understand professional ethics in data science. 4. Are prepared for going deeper into advanced investigative and computational methods,

Content (Syllabus outline)

1. Data science: introduction 2. Overview of key concepts: from data security do forecasting market trends 3. Analytical process: how data is created, stored, accessed 4. Value of data science for business decisions 5. Professional ethics in data science

Learning and teaching methods

lectures; case studies; discussion; individual study

Intended learning outcomes - knowledge and understanding

Knowledge and understanding: Students: - Understand challenges in data science: from data security to forecasting market trend. - Understand the need for business analytics. - Understand the information-based decision taking process.

Intended learning outcomes - transferable/key skills and other attributes

Cognitive/Intellectual skills: - Develop the ability to communicate professionally and critically. - Develop the ability to put knowledge into practice - Develop research, comprehensive thinking, decision-making and action skills. Key/Transferable skills: - Identify and frame business needs to solve problems. - Delve into the data science life cycle. - They build professional ethics. Practical skills: - Develop skills resulting in more productive and faster abilities for data analytics

Readings

Nabor aktualnih člankov s področja podatkovne znanosti./Selection of scientific papers in the area of data science. Arash Karimpour, Fundamentals of Data Science with MATLAB: Introduction to Scientific Computing, Data Analysis, and Data Visualization, 2020. ISBN: 978-1735241012. Matworks: Data Science Tutorial, https://au.mathworks.com/videos/series/data-science-tutorial.html

  • red. prof. ddr. TIMOTEJ JAGRIČ, univ. dipl. ekon.

  • Seminar paper: 100

  • : 5
  • : 85

  • English
  • English

  • ECONOMIC AND BUSINESS SCIENCES (DATA SCIENCE IN BUSINESS) - 1st