Data Analytics with R
Course Description: Do you work with data on a daily basis? Are you finding that tools like Excel are holding you back in both your analysis and productivity? Are you spending hours copying and pasting into a presentation or report, only to do it all over again because a requirement changes or the data needs to be refreshed?
This course introduces business professionals to the power of the R programming language for data analysis, visualization, and reporting. Through real-world scenarios and datasets in a project-based format, participants will learn how to leverage R in their day-to-day work to produce professional visualizations and summaries of their data, revealing insights that drive decision-making for their organization.
Course Topics: R and the RStudio software; Data analysis and visualization; data loading, cleaning and transformation; reporting, reproducibility, and workflow.
Learning Outcomes:
Load data from common sources such as Excel files, text files, databases, and even the web.
Understand your data through visualization and summary.
Share your results dynamically to common apps such as Excel, Word, and PowerPoint.
Automate common, repetitive data tasks.
Course Format: self-paced with 2 required assignments
Course Length: Approximately 13 hours