Machine Learning in R (NL)
The course is not scheduled in our open calendar. Please fill in your details below and we will contact you within 2 working days.
"*" indicates required fields
What is Machine Learning in R
Machine Learning in R goes through the basics of coding, cleaning data, analyzing data, visualizing data, and modeling data. In a bird’s eye view of 3 days you will be taken through the different steps of a data pipeline. In the workshop you will receive theoretical information, but the emphasis will be placed on practice. You practice in R with datasets with various themes.
Machine Learning in R teaches you how to deal with raw data, analyze it and make the most of it by going through a pipeline. Furthermore, this training also focuses on how to communicate findings to the business.
You will be introduced to topics such as:
- Data types
- Data visualization
- Tidyverse
- Cross-validation
- Balancing data
- Data wrangling
- Supervised machine learning (logistic regression, random forest)
- Unsupervised machine learning (k-means clustering)
- Confusion matrix
- Creating an analysis report in R with Rmarkdown
Who should attend Machine Learning in R
The Machine Learning in R training is suitable for:
- People with an interest in applying R for Data Analysis
- People who work in Data Analysis and want to take a first step towards Data Science
- People who want to start programming in R
- People who want to know how to build pipeline to turn raw data into findings
Prerequisites
Beginning skills and general knowledge of data analysis. The ‘Introduction to Data Analysis’ course addresses these topics and is ideally suited to follow as a training course prior to this.
During this training you need a laptop on which you can install software: R.
Objectives
After this training, the participant is able to answer the questions:
- Which steps can I go through to answer a practical question with data analysis and data science?
- How do I clean my data with R and what things should I pay attention to when I clean my data?
- How do I use the R programming language?
- Which packages can I use to analyze my data?
Classroom, online, blended and in-company
At Capgemini Academy you learn in the way that suits you. Do you prefer classroom training, online or a combination of the two (blended)? You can follow most training courses in-company: within your own organization. We use a variety of tools to make learning even more fun and effective. Consider videos, games, quizzes, webinars and case studies, for example. And you can always contact your trainer with any questions.
In-company training courses
With an in-company training you have several advantages:
- You choose the location.
- You train with your colleagues, ensuring it aligns with your practice.
- The trainer tailors explanations, examples and assignments to your organization.
- In consultation, exercises can be adapted to organization-specific questions.
Request more information or a quote.
