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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 |
| Grade Type | |
| Prerequisite | |
| Exam |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | 06059 TUT (T1) 0930-1020 Wed SCI-EXSR Wk2-13 | ||||
| 1000 | |||||
| 1030 | 06060 TUT (T2) 1030-1120 Wed SCI-EXSR Wk2-13 | ||||
| 1100 | |||||
| 1130 | 06061 TUT (T3) 1130-1220 Wed SCI-EXSR Wk2-13 | ||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | COMMON LEC (LE) 1630-1750 Mon LF-LT | COMMON LEC (LE) 1630-1750 Tue LF-LT | |||
| 1700 | |||||
| 1730 |
