Beginner Data Structures in R
Lesson Description
This module introduces you to the some of the basic data structures that can be used in R.
Learning Objectives
The objectives of this module are to provide you with an understanding of:
- What a vector is in R.
- How to create a sequence.
- How to create a vector using a repetition.
- How to pull elements out of vectors.
- Vectorised operations.
- Logical comparisons.
- Strings in R.
- Undefined situations in mathematics.
- 0, NA, NaN, and Null.
Intended Audience
Aimed at all who wish to learn the R programming language.
Pre-requisites
No prior knowledge of R is assumed.
Delegates should already be familiar with basic programming concepts such as variables, scope, and functions.
Experience of another scripting language such as Python or Perl would be an advantage.
Having an understanding of mathematical concepts will be beneficial.
Feedback
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Kunal has worked with data for most of his career, ranging from diffusion markov chain processes to migrating reporting platforms.
Kunal has helped clients with early stage engagement and formed multi week training programme curriculum.
Kunal has a passion for statistics and data; he has delivered training relating to Hypothesis Testing, Exploring Data, Machine Learning Algorithms, and the Theory of Visualisation.
Data Scientist at a credit management company; applied statistical analysis to distressed portfolios.
Business Data Analyst at an investment bank; project to overhaul the legacy reporting and analytics platform.
Statistician within the Government Statistical Service; quantitative analysis and publishing statistical findings of emerging levels of council tax data.
Structured Credit Product Control at an investment bank; developing, maintaining, and deploying a PnL platform for the CVA Hedging trading desk.