R in Finance
The Quants Hub (part of the WBS Training group) is a comprehensive online resource for Quantitative Analysts, Risk Managers, Structuring and Trading Desks, Model Validation, Programmers & Developers & Financial Engineers that combines video training from world-renowned expert instructors with a rich library of content for self-paced, distance learning. This platform empowers you and your institution to create an individualised bespoke educational library resource.
R in Finance
Course Running Time: 10 Hours 30 minutes
£199.00
Introduction
In this workshop, you’re introduced to the statistical programming language R. The workshop focuses on the aspects of the R language useful for financial analyses, with emphasis on techniques for automation and visualisation. We introduce R and the working environment RStudio using a practical approach with hands-on examples, and introduce a number of the most used add-on packages for financial analysis. The code of the examples will be available.
This workshop does not require any prior knowledge of R, but some experience with programming is assumed.
Lectures
Lecture 1.
(RUNNING TIME: 1 Hours 22 Minutes)
Basics, Objects and Operations – Part 1
- Introduction to R
- Introduction to Scripting
- Basics of R
Lecture 2.
(RUNNING TIME: 54 & 53 Minutes)
Basics, Objects and Operations – Part 2
- Mathematics in R
- Working with vectors
- Working with text
- Adding dimensions
Lecture 3.
(RUNNING TIME: 36 & 38 Minutes)
Dates and Times in R
- Working with Dates and Times
- Working with time series
Lecture 4.
(RUNNING TIME: 1 Hours 28 Minutes)
Plotting Data
- The base plotting system
- The grammar of graphics: ggplot2
Lecture 5.
(RUNNING TIME: 1 Hours 15 Minutes & 57 Minutes)
Logical Flow and Functions
- Functions and Methods
- Logical Flow
- Testing your code
Lecture 6.
(RUNNING TIME: 1 Hours 2 Minutes & 57 Minutes)
Data Manipulation
- Data in and out
- Data Manipulation
- Reshaping data
Lecture 7.
(RUNNING TIME: 22 Minutes)
Statistics and Statistical objects
- Quick summarizing
- Statistical Objects
About the Presenter
Joris Meys is a statistical consultant in the Biostatistics Department at the University of Ghent. He is the co-author (with Andrie de Vries) of R for Dummies (Wiley, 2012). Joris is an accomplished R programmer, and produces R packages both for specific research projects and, via R-Forge, R packages for more general application. His statistical expertise is in the areas of ecotoxicology, analysis of environmental data, clinical research and meta analysis.
CPD Certification
You will be able to receive up to 40.5 CPD points (10 hours 30 minutes of structured CPD and 30 hours of self-directed CPD) for taking this course.
The CPD Certification Service was established in 1996 as the independent CPD accreditation institution operating across industry sectors to complement the CPD policies of professional and academic bodies. The CPD Certification Service provides recognised independent CPD accreditation compatible with global CPD principles.