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 | ||
|---|---|---|---|---|---|---|
| 830 | 00536 SEM (5) 0830-1120 Wed //S4-SR17 | |||||
| 900 | ||||||
| 930 | 00532 SEM (1) 0930-1220 Mon //ABS-SR11 | |||||
| 1000 | ||||||
| 1030 | ||||||
| 1100 | ||||||
| 1130 | ||||||
| 1200 | ||||||
| 1230 | ||||||
| 1300 | ||||||
| 1330 | ||||||
| 1400 | ||||||
| 1430 | 00533 SEM (2) 1430-1720 Mon //ABS-SR4 | 00535 SEM (4) 1430-1720 Tue //S3-SR3 | 00537 SEM (6) 1430-1720 Wed //ABS-SR11 | 00540 SEM (9) 1430-1720 Wed //S3-SR5 | 00539 SEM (8) 1430-1720 Thu //ABS-SR11 | 00541 SEM (10) 1430-1720 Fri //ABS-SR8 |
| 1500 | ||||||
| 1530 | ||||||
| 1600 | ||||||
| 1630 | ||||||
| 1700 | ||||||
| 1730 | ||||||
| 1800 | ||||||
| 1830 | 00534 SEM (3) 1830-2120 Tue //ABS-SR5 | 00538 SEM (7) 1830-2120 Thu //ABS-SR11 | ||||
| 1900 | ||||||
| 1930 | ||||||
| 2000 | ||||||
| 2030 | ||||||
| 2100 | ||||||