This course provides the participants with the knowledge required to prepare and leverage data using R. Each concept is illustrated with a series of practical examples and exercises to ensure it can be applied in an industrial context.
R is one of the most popular programming languages specialized in data science, statistics and machine learning. The most recent algorithms are usually developed in R before being available in other languages.
In a data driven world, having a solid knowledge of R and predictive modeling is an essential asset for Data Engineers and Data Scientists.
This 3-day course will provide participants with the knowledge required to use R to process and visualize data efficiently, to understand the fundamental concepts of data science and to build simple predictive models with R.
Throughout the 3 days you will get introduced to the following topics:
This course is aimed at engineers or other specialists who have little or no experience with R and Data Science and who want to acquire solid foundations with R with the intention to develop predictive models.
This is an introductory course with no pre-requisite. Having experience with another programming language and good foundations in mathematics is a plus.
No preparation is required before the course.
The participants will, after the course, be able to write R code to read, process, write and visualize data. Moreover, the participants will be able to analyse what kind of statistical models can be applied to leverage data and how to achieve it.
Any companies who want to keep an edge in their digitization journey need to ensure to have solid R competencies, to enable them to leverage their data and using the most recent statistical methods.
Data Science and Optimization
Joël is a freelancer in Data Science and Optimization. He has a background in Applied Mathematics Engineering and has 18 years of international experience with Advanced Analytics and 5 years of experience with R.
Niels-Christian is a Data Scientist at Novo Nordisk A/S. He has a PhD in Applied Mathematics and Optimization and has 7 years of experience with Advanced Analytics and 2 years of experience with R from academia and his current position.