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

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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 Demonstrate comprehensive knowledge of key concepts across the breadth of effective application and use of MIS and innovative information technologies in organizations.
2. P02 Demonstrate autonomy and responsibility in managing MIS projects and improving organizational processes
3. P03 Demonstrate comprehensive understanding of appropriate enterprise frameworks, theories from the MIS to research and assess contemporary issues in the field and related allied fields and disciplines
4. P04 Apply MIS knowledge to facilitate the acquisition, development, deployment, and management of information systems
5. P05 Apply MIS knowledge to the exploitation of opportunities created by information technology innovations ensuring the alignment between MIS strategy and organizational strategy
6. P06 Demonstrate ethical reasoning in relation to crucial MIS issues such as privacy, information security, and ethical use of information
7. P07 Apply appropriate technologies and techniques to the collection and analysis of organizational and environmental data to facilitate evidence-based decision-making
8. P08 Analyse organizational data to accurately identify organizational problems and propose solutions using MIS
9. P09 Apply effective communication skills consistent with the professional environment
10. P10 Apply effective collaboration skills consistent with the professional environment

Po-Lo Matrix