Data Visualization in R - Part 2
This course continues data visualization in R using ggplot2.
Data @ Rice
Data Visualization in R - Part 1
This course introduces data visualization in R using ggplot2.
Basic Statistics in R - Part 2
This course focuses on calculating basic statistics in R.
Basic Statistics in R - Part 1
This course focuses on calculating basic statistics in R.
Wrangling Data in R with dplyr - Part 1
This course focuses on wrangling data using dplyr, a popular package in R.
Cleaning Data in R - Part 2
This course dives deeper into the process of cleaning data in R.
Cleaning Data in R - Part 1
This course focuses on the basics of cleaning data in R.
Importing and Indexing Data in R
This course focuses on importing and indexing data in R.
Basics of R and RStudio
This workshop explores the basics of R, one of the most popular programming languages for data analytics and data science in academia and beyond.
Data Analysis and Visualization with Pandas in Python
Prerequisites:
Recommended for those who have completed the 2-part Python Fundamentals series or who have basic Python skills.
Overview:
This course covers basic analysis and visualization of data frames using the pandas library in Python. Topics include subsetting a data frame, calculating summary statistics, and creating bar and scatter plots.
Contact information:
Please email mrsmith@rice.edu if you have questions about the Data@Rice workshop series.