Modern Data Science with R > 데이터베이스

Introduction to Data Science

Prologue: Why data science?

Data visualization

A grammar for graphics

Data wrangling

Tidy data and iteration

Professional Ethics

Statistics and Modeling

Statistical foundations

Statistical learning and predictive analytics

Unsupervised learning

Simulation

Topics in Data Science

Interactive data graphics

Database querying using SQL

Database administration

Working with spatial data

Text as data

Network science

Epilogue: Towards \big data"

Appendices

Packages used in this book

Introduction to R and RStudio

Algorithmic thinking

Reproducible analysis and workflow

Regression modeling

Setting up a database server