Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Day One: Language Basics
- Course Introduction
- Overview of Data Science
- Definition of Data Science
- The Process of Conducting Data Science.
- Introduction to the R Language
- Variables and Data Types
- Control Structures (Loops and Conditionals)
- R Scalars, Vectors, and Matrices
- Defining R Vectors
- Matrices
- String and Text Manipulation
- Character data type
- File IO
- Lists
- Functions
- Introduction to Functions
- Closures
- lapply/sapply functions
- DataFrames
- Labs for all sections
Day Two: Intermediate R Programming
- DataFrames and File IO
- Reading data from files
- Data Preparation
- Built-in Datasets
- Visualization
- Graphics Package
- plot() / barplot() / hist() / boxplot() / scatter plot
- Heat Map
- ggplot2 package (qplot(), ggplot())
- Exploration Using Dplyr
- Labs for all sections
Requirements
- A foundational understanding of programming is preferred.
Audience
- Data analysts
Testimonials (3)
I finally understood the idea of the pipes and how to use R in our work context.
Katrin Groth - Senatsverwaltung fur Bildung, Jugend und Familie
Course - Data Analytics With R
a multitude of points
Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R
knowledge of the trainer, tailor based, all topics covered
