BC2406 Analytics I: Visual & Predictive Techniques
Current offering: AY2026/2027 Semester 2
Most organizations are data rich and information poor. The large volumes of data in an organization are 'oilfields' rich in information content that are pending extraction with the right tools and models. Analytics involves the art of data exploration, visualization, communication and the science of analyzing large quantities of data in order to discover meaningful patterns and useful insights to support decision-making. The primary objective of this course is to introduce students to various techniques available to extract useful insights from the large volumes of data. At the end of the course, students will not only see the substantial opportunities that exist in real world, but also learn techniques that allow them to exploit these opportunities.
Prerequisite graph
Required first
SC2000Probability & Statistics for ComputingAnalytics I: Visual & Predictive Techniques
Available indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | 00533 SEM (1) 0930-1220 Mon S3-SR2, ONLINE Wk1-9,11-13, Teaching Wk10 | ||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 |
Other offerings
Other relevant mods
- BC2407Analytics II: Advanced Predictive Techniques
- BC2408Supply Chain Analytics
- BC2409Supply Chain Analytics
- BC2410Prescriptive Analytics with Generative AI
- BC2411Prescriptive Analytics with Generative AI
- BC2416Analytics I: Visual & Predictive Techniques
- BC2417Analytics II: Advanced Predictive Techniques
- BC3402Financial Service Processes & Analytics
- BC3406Business Analytics Consulting
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