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NUS School of Computing's Analytics: From Data to Insights


Mar 29 2024, Friday - Aug 16 2024, FridaySee Schedule below for times (GMT +8:00) Kuala Lumpur, Singapore



, Singapore



The importance of data cannot be overstated when it comes to business success. Not only does data enable companies to understand the current state of the business and its many processes, but it also provides a solid foundation to identify opportunities and predict future outcomes. But collecting data isn't enough. It must be visualized, filtered and broken down into actionable insights by the right data tool for the job. Analytics: From Data to Insights, an online program offered by NUS School of Computing, is designed to give you the hands-on experience you need to master analytics and make better business decisions. No prior coding experience required.

Course Description & Learning Outcomes

What Will This Programme Do For You?

  • Master critical processes, tools and concepts in data analytics

  • Apply appropriate SQL queries to retrieve information and answer real-world questions

  • Prepare data for creating data models and use analytical expressions to create calculations and measures

  • Employ analytical expressions to perform time-based analyses and visualise data

  • Create Decision Tree models to find patterns and make predictions from data.

  • Develop interactive visualization reports and dashboards.

Pre-course instructions

Brochure Link: https://emrt.us/B2B_Brochure_NUSSOC_Analytics

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Start Date: 29 Mar 2024, Friday
End Date: 16 Aug 2024, Friday

Every Wednesday (Tentatively) 6pm

Location: Online


Day/TimeAgenda Activity/Description
Every Wednesday(tentative) 6pmLive Webinar with faculty & Program Coach


Course fees: 2100 USD


Instructor's Profile:

AI XIN, Program Faculty, Emeritus Institute of Management Pte Ltd

PhD in Electrical and Computer Engineering Dr Ai Xin is currently a Lecturer with the School of Computing at the National University of Singapore. She has over a decade of experience teaching Artificial Intelligence and Data Science courses such as machine learning, deep learning, data mining, etc. Dr Ai Xin graduated from NUS with a PhD in Electrical and Computer Engineering. Her research focuses on Game Theoretical Modelling, Optimisation Methods, Algorithm Design and Wireless Networks. She worked in BHP Billiton Marketing Asia for eight years and gained plenty of industry experience through different functions, e.g., risk management, supply chain management, sales and marketing planning, and beyond.