1. Course Summary and Recommendations
As you wrap up the course, here is a quick recap of what you've learned and some recommendations to continue your journey learning R.
2. What you've learned
You began in chapter one learning about the R environment, adding functionality with packages, loading a dataset and creating basic graphs.
Next you learned about data objects in R and how to create and modify variables. You then used these skills to clean the abalone dataset.
3. What you've learned
In chapter 3 you learned exploratory statistics, statistical tests and associated visualization techniques.
In chapter 4 you learned how to save and manipulate your results. Finally you used all of your skills to create models for abalone features that best predicted their ages overall and by sex.
4. Recommended next
To continue your R training, I would recommend the datacamp courses contained within the skills tracks for data manipulation, statistics fundamentals, data visualization and statistical inference.
The courses within the data scientist career track is also an excellent next step.
5. Job well done!
Great job completing this course. Your hard work paid off. Feel proud.
Find a dataset and put your new skills to use right away.
Thank you for taking my course. I wish all the best.
6. Congratulations!
Congratulations on completing R for SAS Users