• We focus on the backbone of data science: data.
• We use the Julia programming language to process the data.

1. Data Manipulation with (Chapter ) and (Chapter 5). In these chapters you will learn how to:
   1. Read CSV and Excel data into Julia.
   2. Process data in Julia, that is, learn how to answer data questions.
   3. Handle missing data.
   4. Join multiple data sources together.
   5. Group and summarize data.
   6. Export data out of Julia to CSV and Excel files.
2. Data Visualization with (Chapter ). In this chapter you will learn how to:
   1. Plot data with different backends.
   2. Use different plotting functions to make diverse data visualizations.
   3. Customize visualizations with attributes.
   4. Use and create new plotting themes.
   5. Add \(\LaTeX\) elements to plots.
   6. Manipulate color and palettes.
   7. Create complex figure layouts.