1. Trailer [markdown, markup]

2. Wrangling

   1. A hasty tour inside R [images, markdown, markup]

   2. readr: Read data [markdown, markup]

   3. Data Challenge – Read complex data [markdown, markup]

   4. tidyr: Give a good shape to your data [images, markdown, markup]

3. Transformation

   1. dplyr: A grammar of data manipulation [images, markdown, markup]

   2. Data Challenge – Tidy the WHO dataset [markdown, markup]

   3. Data Challenge – Which is the best team ever in Italian soccer? [markdown, markup]

4. Visualization

   1. ggplot2: A grammar of data visualization [markdown, markup]

   2. Animated graphics [markdown, markup]

   3. Interactive graphics [markdown, markup]

   4. Data Challenge – Interact with gapminder [markdown, markup]

   5. Artistic visualization

      1. Draw flowers with R [images, markdown, markup]
      2. Koen Derks
         
      3. Tyler Hobbs
      4. Antonio Sánchez Chinchón
      5. Thomas Lin Pedersen

5. Modelling

   1. Modelling [markdown, markup]

   2. Demo – The qualities of diamonds [markdown, markup]

   3. Demo – What affects the number of daily flights? [markdown, markup]

   4. Demo – Are iris flower sepal and petal sizes correlated? [markdown, markup]

   5. Demo – Life expectancy change over time [markdown, markup]

   6. Data Challenge – Which among goals for and goals against contribute more to points in Italian soccer? [markdown, markup]

6. Communication [images, markdown, markup]

7. Big data

   1. Introduction [markdown, markup]

   2. Demo – Writing efficient R code [markdown, markup]

   3. Data Challenge – Efficient Elo [markdown, markup]

   4. Demo – dbplyr: Working with databases [markup]

   5. Demo – SQL vs dplyr [markdown, markup]

   6. Demo – sparklyr: Large-scale data processing with Spark [markdown, markup]