DES103 introduces undergraduate students to the fundamental concepts and methods of descriptive statistical methods used to organize, summarize, visualize, and describe data. The course covers key topics such as data collection, organization, visualization, and numerical measures of central tendency and variability. Students will learn to represent data using tables, charts, and graphs and to interpret statistical information for informed decision-making. Emphasis is placed on understanding how statistics are applied in various fields, such as business, social sciences, and education. Through lectures, discussions, and hands-on exercises, students will develop practical skills in analyzing and presenting data accurately and effectively. Emphasis is placed on real-world business datasets and Orange data mining analysis, with a focus on responsible data interpretation rather than statistical inference.