UC Carpentries Day 9: Introduction to R Part 2
Transform and visualize data in R. You’ll manipulate tables with dplyr, make graphics with ggplot2, and generate reports with knitr.
Find out more »UC Carpentries Day 8: Introduction to R Part 1
Get started with R and RStudio for data analysis. You’ll organize a project, use R objects and data structures, and explore data frames.
Find out more »UC Carpentries Day 7: Python Part 2
Work efficiently with data in Python using libraries. You’ll write functions, load tabular data into pandas DataFrames, explore, and plot results.
Find out more »UC Carpentries Day 6: Python Part 1
Start writing Python for data work in Jupyter. You’ll run code, use variables and types, call built-ins, and control flow with conditionals and loops.
Find out more »UC Carpentries Day 4: Databases & SQL
Query structured data with SQL to filter, join, and summarize tables. You’ll select and filter rows, calculate new columns, aggregate results, and combine datasets.
Find out more »UC Carpentries Day 4: Version Control with Git
Track changes to your work and collaborate confidently with Git and GitHub. You’ll record commits, inspect history, undo mistakes, and work with remotes and pull requests.
Find out more »UC Carpentries Day 3: Command Line & Unix Shell
Use the command line to navigate folders, combine commands, and automate simple tasks. You’ll practice working with files, pipes and filters, loops, and basic shell scripts.
Find out more »UC Carpentries Day 2: Data Cleaning with OpenRefine
Clean and transform tabular data reproducibly without writing code. You’ll use faceting, filtering, clustering, and GREL transformations to fix inconsistencies and export results.
Find out more »UC Carpentries Day 2: Data Cleaning with OpenRefine
Clean and transform tabular data reproducibly without writing code. You’ll use faceting, filtering, clustering, and GREL transformations to fix inconsistencies and export results.
Find out more »UC Carpentries Day 1: Tidy Data
Organize messy spreadsheets into analysis-ready tables and avoid common formatting traps. You’ll learn tidy data principles, dates-as-data, basic QA/QC, and how to export clean files.
Find out more »UC Carpentries Day 1: Tidy Data
Organize messy spreadsheets into analysis-ready tables and avoid common formatting traps. You’ll learn tidy data principles, dates-as-data, basic QA/QC, and how to export clean files.
Find out more »