𝗖𝗢𝗨𝗥𝗦𝗘 𝗦𝗬𝗡𝗢𝗣𝗦𝗜𝗦 In this 10.5 hour long online course, students will be able to learn a fundamental concept of descriptive statistics. Throughout the course, students will be able to analyze and interpret data using various descriptive statistical techniques. Descriptive statistics is a fundamental topic in statistics that involves the analysis and interpretation of data to provide meaningful insights and summaries. It aims to describe a dataset's main features and characteristics, enabling researchers, analysts, and decision-makers to understand and communicate the information effectively. 𝗙𝗔𝗖𝗨𝗟𝗧𝗬 Faculty Of Computing And Multimedia (FCOM) 𝗗𝗨𝗥𝗔𝗧𝗜𝗢𝗡 10.5 hours 𝗧𝗔𝗥𝗚𝗘𝗧𝗘𝗗 𝗔𝗨𝗗𝗜𝗘𝗡𝗖𝗘 The target audience for this course consists of students who did not obtain credit in Mathematics in their SPM or learners who are studying statistics or related disciplines and want to develop a solid understanding of descriptive statistics. 𝗣𝗥𝗘𝗥𝗘𝗤𝗨𝗜𝗦𝗜𝗧𝗘 𝗦𝗞𝗜𝗟𝗟𝗦, 𝗞𝗡𝗢𝗪𝗟𝗘𝗗𝗚𝗘 𝗢𝗥 𝗘𝗫𝗣𝗘𝗥𝗜𝗘𝗡𝗖𝗘 𝗡𝗘𝗘𝗗𝗘𝗗 None 𝗠𝗜𝗖𝗥𝗢 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚 𝗢𝗨𝗧𝗖𝗢𝗠𝗘𝗦 At the end of the course, participants should be able to: MLO1 – Compute common summary measures, including measures of central tendency and measures of dispersion. MLO2 – Interpret summary measures accurately and effectively.