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DeisData
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DeisData

Contents:

  • Python
    • Setup and installation
    • Jupyter notebooks
    • Fundamentals
    • Data structures
    • Booleans and conditionals
    • Loops
    • NumPy
    • Pandas
    • Matplotlib and seaborn
    • Writing functions
    • Statistical tests
    • Web scraping
  • R
    • Intro to R and the Tidyverse
    • Data wrangling with the Tidyverse
    • ggplot2
    • Data Analysis
    • Text mining
  • Machine learning
    • Quick start
    • Image recognition: Model components
    • Image recognition: Improving the model
  • Unix Shell
    • Bash Setup
    • Navigating
    • Altering files and directories
    • Pipes and filters
    • Loops
    • Shell scripts
    • Searching and finding
  • Git Version Control
    • Setup and installation
    • Quick start to Git and GitHub
    • Pushing changes
    • Fetch and merge from GitHub
    • Git utilities
    • Forking in GitHub
    • Git Glossary
  • SQL
    • Setup
    • Selecting data
    • Sorting out and removing duplicates
    • Filtering
    • Calculating new values
    • Missing data
    • Aggregates
    • Combining data
    • Create and modify
    • Glossary
  • Data Services Case Studies
  • Contribute to DeisData
    • Small changes
    • reStructuredText basics
    • Structural changes
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