Data conclusions
Foundations of Data Science in R
Welcome to Foundations of Data Science in R
Introduction to data science
1
Introduction
2
GitHub
Data acquisition
3
Web scraping
4
SQL
5
SQL clauses
6
Combining tables in SQL
Data exploration
7
Data wrangling
8
Text analysis
9
Regular expressions
Data visualization
10
Graphics
11
ggplot
12
Shiny
Data conclusions
13
Functions + iteration
14
Permutation tests
Data communication
15
R tip-of-the-day
16
Reproducible examples
17
Fin
Data conclusions
12
Shiny
13
Functions + iteration