Foundations in R for Scaling Data Analysis

This course is best for data practitioners seeking to enhance their efficiency and expand their technical capabilities by using R for data preprocessing, statistical analysis, and data visualization. It offers an exploration of R’s powerful data analysis packages. Through hands-on exercises and real-world examples, participants will learn to manipulate, analyze, and visualize complex datasets effectively. These foundational skills will unlock access to cutting-edge technical tools within the R ecosystem and increase productivity on both routine and complex analyses.

Key skills covered in this course: 

• Data Analysis
• Data Visualization
• R Markdown
• R Programming

Upon successful completion of the course, learner outcomes include: 

• Implement an Exploratory Data Analysis in R on company-provided data*
• Perform basic data cleaning techniques in R
• Manipulate date data types in R for time series analyses
• Filter, sort, transform, and summarize data with R and the tidyverse packages
• Create exploratory data visualizations using the ggplot2 package

Potential learners:

• Analysts
• Data Scientists
• Data Visualization Specialists

Prerequisites: 

• Knowledge of basic descriptive statistics 
• Experience with Exploratory Data Analysis

* We require company-provided datasets for the learners to explore during the course so that they can leverage their existing expertise while learning the new analytics tools. These can be actual company data (preferred) or anonymized/randomized alternatives. Our Solutions Architects will work with your data specialists to source appropriate materials 4 weeks before the course starts.