Self-Paced R in Finance by Joris Meys

Self-Paced R in Finance by Joris Meys

  • Self-Paced Course
  • Location: Globally online
  • This course can be included as part of the Annual Subscription Service.
  • This course be taken In House

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. 

Basics, Objects and Operations - Part 1

  • Introduction to R

  • Introduction to Scripting

  • Basics of R


Lecture 2.  
Basics, Objects and Operations - Part 2

  • Mathematics in R

  • Working with vectors

  • Working with text

  • Adding dimensions


Lecture 3. 
Dates and Times in R

  • Working with Dates and Times

  • Working with time series


Lecture 4. 
Plotting Data

  • The base plotting system

  • The grammar of graphics: ggplot2


Lecture 5. 

Logical Flow and Functions

  • Functions and Methods

  • Logical Flow

  • Testing your code


Lecture 6.  
Data Manipulation

  • Data in and out

  • Data Manipulation

  • Reshaping data


Lecture 7. 
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 51 CPD points (11 hours of structured CPD and 40 hours of self-directed CPD) for completing 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.

www.cpduk.co.uk


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£199.00