ModsCS2400
Foundation Of Information Analytics
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
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 |
| Exam | 22 November 2024, 2.30 pm - 04.30 pm |
| Grade Type | N/A |
| Maintaining Dept | N/A |
| Prerequisites | N/A |
| Mutually Exclusive With | |
| Not Available To Programme | N/A |
| Not Available To All Programme With | N/A |
| Not available as Core for programmes | N/A |
| Not Available as PE for programmes | N/A |
| Not Available as BDE/UEs for programmes | N/A |
| Not Offered To | N/A |
Total hours per week: 0 hrs
Available Indexes
No indexes available for this semester
(This might be an old module not longer offered in AY24/25)