ACTU 202 — Data Analysis and Statistical Computing
Statistics · University of Ghana
To acquaint students with elementary modern computing methods appropriate to the work of an actuary. This course is largely practical and involves analyzing large data sets. Students will be introduced to modeling and statistical simulations using modern statistical software such as R. Exploratory Data Analysis and Confirmatory Data Analysis of both univariate and bivariate cases will be explored. Applications will be tailored to meet requirements of the Actuarial profession with hands-on training sessions with large data sets. No ‗new‘ statistical methods should be presented but interesting data can be analyzed using known methods on the chosen package. Topics should include graphics, descriptive statistics, representations of multivariate data, simple hypothesis tests, analysis of variance, and linear regression.
- Credits
- 3
- Level
- Level 200
- Semester
- Semester Two
Other courses on this programme
- STAT 221 — Introductory Probability I (Pre-req. MATH 121, 122)
- STAT 222 — Data Analysis I (Pre-Req. STAT 223)
- STAT 226 — Official Statistics
- ACTU 101 — Introduction to Statistics and Probability for Actuaries
- ACTU 303 — Introduction to Financial Mathematics
- ACTU 304 — Life Contingencies
- ACTU 320 — Internship in Actuarial Science
- ACTU 403 — Elements of Life Insurance
- ACTU 404 — Pensions and Social Security
- ACTU 407 — Survival Analysis and Modelling
- ACTU 409 — Introduction to Actuarial Mathematics
- STAT 112 — Elementary Probability
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Start freeCourse details from University of Ghana Volume 3 Handbook for the Bachelor's Degree: Course Descriptions for Programmes in the Sciences (2017).