1. Wrap-up
Congratulations! Now you know the fundamentals of data manipulation in Julia.
2. What you've learned
In the previous chapters, you've learned how to load and save data, how to join DataFrames together using left join, and how to check the basic qualities of a dataset. You learned how to select, drop, move, and rename columns. You now know how to apply functions to columns and how to create new ones. Grouping data and calculating summary statistics is now an easy task. So is creating pivot tables and simplifying the workflow using the chain macro. You also can create basic visualizations of your data.
By now, you know firsthand that Julia and the various packages are powerful tools for analyzing data. While we covered a lot, there is still much more to learn.
3. Next steps
There are many courses on DataCamp that you might find useful. Here are few of them. You can also practice your new skills on Kaggle, by competing in DataCamp competitions, or by working on personal projects to add to your portfolio.
4. Congratulations!
Thank you for completing the course and for the work you've put in. Congratulations again, and enjoy the fun!