FUNDAMENTALS OF DATA SCIENCE

Course Description

This course focuses on learning data science through the interest to development and improvement of capability of solving rich problems from data point of view in a systematic and principled way by using high quality instructions and basic level data science techniques. Students will be introduced to what data science is, will discover the applicability of data science across fields, and will learn how data analysis can help them make data driven decisions. Students will gain familiarity with various open source tools and data science programs used by data scientists, like Jupyter Notebooks, RStudio, GitHub, and SQL. This course provides the students with the required structure and responsibilities in order to educate them as data scientists progressing a right way with high concluding capabilities.

FUNDAMENTALS OF DATA SCIENCE

Evaluation Tools (Active Term)

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

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Reference Books & Course Materials

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Learning Outcomes

1. L01 1. Students will be able to explain fundamental concepts of data science, including data types, workflows, and applications. 2. Students will be able to perform basic data preprocessing, including cleaning, transforming, and organizing datasets. 3. Students will be able to create and interpret basic data visualizations using charts and plots. 4. Students will be able to apply basic statistical concepts such as mean, variance, correlation, and probability distributions. 5. Students will be able to use data science methods to solve simple real-world problems. SOLO 1

Program Outcomes

1. P01 1. Gained the necessary skills to learn and adopt a spirit of continuous learning in their professional life.
2. P02 2. Developed various skills by working independently via specific learned techniques that both triggered individual efforts and encouraged collaborative work.
3. P03 3. Acquired the essential knowledge and skills to apply key theories, models and applications within the global business context.
4. P04 4. Adopted and applied critical and strategic thinking together with research capabilities for efficient and effective business decisions.
5. P05 5. Utilized and managed ethically information technologies required for contemporary business world.
6. P06 6. Been equipped with conceptual and analytical skills necessary for team work within global organizations.
7. P07 7. Displayed their learnt communication skills that are required to effectively interact in a cross cultural and diverse international work environment.
8. P08 8. Applied their acquired knowledge within the changing work environment.
9. P09 9. Developed an understanding of ethical perspectives and social responsibilities to be used at work and in personal life.

Po-Lo Matrix