Excel for Computational Reasoning and Decision Making
Master Microsoft Excel for data analysis and problem-solving through hands-on activities. Learn to make informed decisions using computational tools.
Master Microsoft Excel for data analysis and problem-solving through hands-on activities. Learn to make informed decisions using computational tools.
This practical course combines Excel skills with critical thinking to solve real-world problems. Students learn fundamental Excel techniques for handling large datasets while developing analytical reasoning abilities. The curriculum covers data preparation, visualization with pivot tables, and process automation using VBA. Through engaging activities, participants learn to identify problems, design solutions, and evaluate their methods critically. The course emphasizes both technical proficiency and the development of critical awareness, enabling better-informed decision-making across various contexts.
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What you'll learn
Master the computational problem-solving process with Microsoft Excel
Analyze complex data sets using Excel formulas and functions
Create effective data visualizations using Pivot tables
Develop automated solutions using VBA programming
Apply critical thinking to evaluate data-driven solutions
Design and implement systematic problem-solving approaches
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 8 modules in this course
This comprehensive course integrates Microsoft Excel skills with computational reasoning principles. The curriculum covers essential aspects of data analysis and problem-solving, from basic data preparation to advanced VBA coding. Students learn to use Excel tools effectively for pattern recognition, social network analysis, and automated data processing. The course emphasizes practical application through hands-on activities, teaching both technical skills and critical thinking. Special attention is given to understanding the computational problem-solving process and developing effective solutions for complex real-world scenarios.
Introduction to Computational Reasoning
Module 1
Data Analysis and Problem Understanding
Module 2
Reasoning with Data
Module 3
Fundamentals of Modeling
Module 4
Network Analysis
Module 5
Optimization Methods
Module 6
Introduction to VBA
Module 7
Advanced VBA Applications
Module 8
Fee Structure
Instructor
Expert in Philosophy, AI Education and Cross-Cultural Studies
Jonathan Y. H. Sim (沈耀发) is Assistant Director (Pedagogy) at the AI Centre for Educational Technologies and Lecturer in the Department of Philosophy at the National University of Singapore. His expertise spans Chinese philosophy, computational reasoning, and the philosophy of AI, teaching both undergraduates and working professionals, as well as elderly students through the National Silver Academy. His academic contributions include co-editing significant works on contemporary challenges such as "Fit for Purpose? The Futures of Universities" and "Buying Time for Climate Action," along with translating "Memoirs of a Flying Tiger." Sim has received multiple teaching accolades, including the University's Annual Teaching Excellence Award in 2024 and Faculty Teaching Excellence Awards in 2019, 2021, and 2022. His work bridges traditional philosophy with modern technological challenges, leading him to contribute to university policies on AI in education and participate in public discourse through various international media outlets. As part of the Teaching Academy's AI Taskforce, he develops educational resources and conducts outreach to address the ethical and pedagogical implications of AI in education.
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Frequently asked questions
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