Foundation Of Information Analytics
AY2024/2025 Semester 1
Learning Objective This course will introduce you to the statistical foundations of data science and information analytics for handling of massive databases. The course covers the statistical concepts required for big data analytics, and introduces you to statistical tests and statistical modeling. Content Importance of Statistics; Descriptive Statistics; Probability; Counting Techniques; Discrete Probability Distributions; Normal Distribution; Confidence Intervals; Hypotheses Testing for one Population; Hypotheses Testing for two Populations; Correlation and Linear Regression; Non-linear Regression; Application of Statistics to Data Analytics
| AUs | 3.0 AUs |
| Categories | CoreMinorsBDE |
| Mutually Exclusive With | CS4036 |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1430 | 06051 TUT (T1) 1430-1520 Wed SCI-EXSR Wk2-13 | ||||
| 1500 | |||||
| 1530 | 06052 TUT (T2) 1530-1620 Wed SCI-EXSR Wk2-13 | ||||
| 1600 | |||||
| 1630 | COMMON LEC (LE) 1630-1750 Mon LF-LT | COMMON LEC (LE) 1630-1750 Tue LF-LT | 06053 TUT (T3) 1630-1720 Wed SCI-EXSR Wk2-13 | ||
| 1700 | |||||
| 1730 |