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 | |
| Not Available To Programme | |
| Not Available To All Programme With | |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | CS4036 |
| Not Offered As BDE | |
| Not Offered As Unrestricted Elective | |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
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