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Data Science

Data Science with R

This Data Science training offers a 2-day introduction to R. You will learn how to use R (in RStudio) for Data Science, Analytics and Machine Learning.

A hands-on introduction to R!

Are you looking for an open-source tool that is known for easy navigation, manipulation, interaction, and scriptwriting? This is your chance to experience R (in RStudio) with an experienced trainer to guide you. You will learn how to apply the Tidyverse stack, how to create interactive ML dashboards with Shiny, as well as how to integrate R with databases, Spark, and the H2O Machine Learning tooling.

Data Science with R is perfect for

Data Science with R is great for Data Scientists who want to use R and also learn more about Shiny, Dpylr, Spark, and H2O. The training is at a Foundation level, which means we start with the basics. You do not need any programming experience, although it does help. You do need to have strong analytics skills.

What will you learn during Data Science with R?

Through instructor-led discussion and interactive, hands-on exercises, you will get to know the tools that R offers. There will be many moments where you need to program. We have a large pool of topics that we can discuss with the group. Depending on the participants' needs, we might choose to focus more on certain parts than on others.

Program:

The RStudio Environment

You will learn:

  • How to generate Rscripts
  • How to automate reporting RMarkdown

The R language

You will learn:

  • Types and Vectors
  • Functional Programming Style
  • Functional Pipe-then operators `%>%`
  • the concept of a DataFrame

Tidyverse

You will learn:

  • Data Wrangling with Dplyr
  • Data Structures with Tidyr
  • Grammar of Visualization with GGplot2
  • The act of analysis
  • Functional programming via Purrr
  • How to build Tidy Pipelines
  • Nested DataFrames for ML Pipelines
  • Lubridate - how to deal with dates
  • Forcats - how to deal with factors
  • Stringr - how to deal with strings
  • Fix filesystem problems with FS

Introduction to ML

You will learn:

  • How to interpret linear models
  • How to use external packages
  • Review of good methodology

BigData technologies

You will learn:

  • Tackle Spark with Sparklyr
  • Connect to the cloud with BigRQuery
  • Translate Dplyr code to SQL for Databases
  • Use H20 for distributed ML

Data Science Trainers

This Data Science training is brought to you by our training partner GoDataDriven. GoDataDriven works with experts in their field who are always on the lookout for the most innovative ways to get the most out of data. Your trainer is a data guru who enjoys sharing his or her experiences to help you work with the latest tools. 

Data Science Learning Journey

Your Data Science Learning Journey starts with a Foundation training, like this Data Science met R training or Analytics Translator or Data Science with Python. GoDataDriven also offers a Deep Learning Professional level course. If you are looking for an Expert training, register for three days of Data Science with Spark and learn all about large-scale Data Science.

Yes, I want to work with R

After registering for this training, you will receive a confirmation email with practical information. A week before the training we will ask you about any dietary requirements and share literature if there's a need to prepare. See you soon!

What else should I know?

  • For the training you need to bring your laptop with: 8GB RAM minimum, 25GB of free hard disk space, USB port accessible, WiFi works and R and RStudio are installed. Installation instructions can be found here.
  • This course is brought to you by our training partner GoDataDriven.

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