1. Conclusion
Congratulations on completing this Introduction to R via the Tidyverse. You've been introduced to the principles
2. Transforming and visualizing data with R
of transforming and visualizing data with R, and in the process learned some real insights from the Gapminder dataset. This course forms a great foundation for other DataCamp courses where you can continue learning how to use these powerful tools to explore data. You can take
3. Next steps: Data visualization
courses about ggplot2 to learn to create more informative and customized data visualizations. You can learn much more about using dplyr to transform your data, such as how to join multiple tables together. To analyze other data that you're interested in, you can take the course on importing and cleaning datasets. And you can practice your data wrangling and visualization skills in my own course "Exploratory Data Analysis with R", which offers a case study of analyzing United Nations voting over time. These are just a few of the many resources you have to continue learning about data science and R.
4. Enjoy your data science journey!
I hope you had fun in this course, and continue to enjoy your data science journey!