*AI Starts Here: Machine Learning for Absolute Beginners - Dr. Mogana (in collaboration with School of Business)About the workshop:
Machine learning is the foundation of artificial intelligence, it’s the part that allows computers to learn from data instead of being explicitly programmed. In this beginner-friendly session, you’ll explore how machine learning powers everyday AI applications like recommendations, predictions, and smart automation, all explained in clear, simple language. Focusing on one core idea, how machines learn patterns from examples, you’ll see how data is used to train models that can make decisions or forecasts. No advanced math or coding experience is required; the goal is to build a strong conceptual understanding of how machine learning works and why it sits at the heart of modern AI. Participants: Postgraduate Students / Staff Face-to-Face
Location: Library Training Room 7103, Building 7, Level 1
Date/Time: 18 March, Wednesday / 09.00 AM - 01.00 PM |
*An Introduction to Data Analytics and Programming in R: Moving up from Excel - Dr. Quek Shio Gai & Prof. Dr. Ganeshsree Selvachandran (in collaboration with School of Business)About the workshop:
This two-hour workshop is primarily targeted for students/professionals, who are already familiar with Excel, and wish to acquire the essential skills of data analysis and programming in R to increase their productivity at research/work. Through easy-to-follow hands-on activities, participants will be exposed to the various commonly-used operations in data analytics that can be performed much more efficiently in R than in Excel, which includes organization, classification and extraction of data. In addition, participants will also be learning the basics of programming in R, which proves to be an indispensable tool at automating many computational tasks at hand. Participants: Postgraduate Students / Staff Face-to-Face
Location: Library Training Room 7103, Building 7, Level 1
Date/Time: 26 March, Thursday / 02.00 PM - 04.00 PM |
*From Excel to Python, Part II: Automate, Scale, and Analyze Like a Pro - Dr. Mogana (in collaboration with School of Business)About the workshop:
This 4-hour advanced, hands-on workshop is designed for professionals who already know the Python and pandas basics and want to move beyond manual analysis into powerful, automated workflows. Participants will learn how to build reusable data pipelines, work with multi-file and large datasets, perform advanced joins and aggregations, write custom functions, and create publication-ready visualizations. The session also introduces automation techniques, error handling, and performance optimization, showing how Python can replace complex Excel models, fragile formulas, and repetitive reporting tasks. By the end of the workshop, attendees will be able to design end-to-end data solutions that scale, run reliably, and save hours of work every week. Participants: Postgraduate Students / Staff Face-to-Face
Location: Library Training Room 7103, Building 7, Level 1
Date/Time: 14 April, Tuesday / 09.00 AM - 01.00 PM |
*A Beginner's Guide to Machine Learning: A Hands-On Introductory Session - Dr. Quek Shio Gai & Prof. Dr. Ganeshsree Selvachandran (in collaboration with School of Business)About the workshop:
This workshop is designed for students and staff who are curious about the fundamentals of machine learning. This interactive session will introduce key concepts of machine learning, including Linear Regression, Artificial Neural Networks, Support Vector Machines, and Decision Trees, in a beginner-friendly way, covering basic algorithms, applications, and tools commonly used in the field. Participants will gain hands-on experience using real-world datasets and accessible platforms like R and MS Excel to build simple models and interpret their results. No prior coding or machine learning experience is required - just bring your curiosity and willingness to learn! Participants: Postgraduate Students / Staff Face-to-Face
Location: Library Training Room 7103, Building 7, Level 1
Date/Time: 23 April, Thursday / 02.00 PM - 04.00 PM |
*Beyond the Numbers: Making Meaning from Open-Ended Survey Data with NVivo - Dr. Lee How Chinh (in collaboration with School of Business)About the workshop:
In this engaging two-hour hands-on workshop, participants will be introduced to NVivo, available through Monash’s institutional subscription, as a powerful and user-friendly tool for making sense of open-ended survey responses. The session will walk attendees through how to import and organize qualitative feedback, identify key themes, and build a clear structure for interpreting large volumes of text-based comments. Participants will explore practical NVivo features that help reveal patterns, compare viewpoints across different groups, and uncover meaningful insights that might otherwise be missed. By the end of the workshop, attendees will feel confident using NVivo to turn rich, unstructured survey feedback into compelling, evidence-based insights that can inform teaching, research, and decision-making across Monash. Participants: Postgraduate Students / Staff Face-to-Face
Location: Library Training Room 7103, Building 7, Level 1
Date/Time: 4 May, Monday / 02.00 PM - 04.00 PM |
*Charting New Paths: A Visual Journey with ggplot2 - Dr. Yalini (in collaboration with School of Business)About the workshop:
Effective visualisation is both an art and a science—vital for exploring patterns in data and communicating insights clearly across fields such as business, academia, policy, and media. This 4-hour hands-on introductory workshop offers a guided journey into the powerful world of data visualisation with R’s ggplot2. Participants will learn foundational concepts such as data mappings, aesthetics, geometries, facets, statistical summaries, coordinate systems, and themes. Whether you're a complete R newcomer or looking to enhance your visualisation toolkit, prepare to be amazed by ggplot2's versatility and power. Join us on this creative journey where data meets design, and discover how beautiful, meaningful visualisations can transform the way you understand and share information. Come ready to explore—because, as Bilbo Baggins once said, “Not all those who wander are lost.” Participants: Postgraduate Students / Staff Face-to-Face
Location: Library Training Room 7103, Building 7, Level 1
Date/Time: 8 May, Friday / 09.00 AM - 01.00 PM |
