Data Science with R Specialization

Master Data Science with R. Transform, visualize, and analyze data responsibly

Instructors: Dr. Elijah Meyer +1 more

What you'll learn

  •   Transform and analyze data using R and Tidyverse, producing reproducible analyses to uncover insights from real-world datasets.
  •   Create impactful visualizations with RStudio and Quarto, effectively communicating data-driven insights for informed decision-making.
  •   Apply ethical principles in data science by addressing algorithmic bias, safeguarding data privacy, and promoting responsible data usage.
  • Skills you'll gain

  •   Data Manipulation
  •   Ggplot2
  •   R Programming
  •   Data Collection
  •   Data Import/Export
  •   Data Literacy
  •   GitHub
  •   Version Control
  •   Data Integrity
  •   Data Presentation
  •   Git (Version Control System)
  •   Data Ethics
  • Specialization - 3 course series

    Throughout this Specialization, you’ll apply your skills to solve authentic data challenges using real-world datasets and industry-standard tools such as R, RStudio, Tidyverse, Quarto, and Git/GitHub. You’ll gain hands-on experience transforming raw data into meaningful insights, crafting compelling visualizations, and producing reproducible analyses that can be shared confidently with others. Each course emphasizes practical applications, from cleaning and preparing messy datasets to exploring ethical dilemmas in data usage, such as algorithmic bias and privacy concerns. By working through programming companions and guided exercises, you’ll develop the technical and ethical expertise to tackle real-world data problems and communicate results that inform decisions in any professional or research context.

    Data Tidying and Importing with R

    Data Science Ethics with R

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