Conclusion: Where to next?

This chapter contains bigger-picture advice about how to apply the capabilities and knowledge one has developed with respect to data science education, with an emphasis on the importance of continuously connecting one’s data science-related work to the language, problems, and types of datasets encountered in education; collaborating and building trust with others; and—on occasion—taking strategic breaks by stepping away from the keyboard to help solve problems. This chapter contains bigger-picture advice about how to apply the capabilities and knowledge one has developed with respect to data science education, with an emphasis on the importance of continuously connecting one’s data science-related work to the language, problems, and types of datasets encountered in education; collaborating and building trust with others; and—on occasion—taking strategic breaks by stepping away from the keyboard to help solve problems. In most creative endeavors, collaboration is the magical ingredient that evolves an individual idea into something truly unique and responsive to the needs of an audience. Taking breaks is one of the most strategic moves researchers can make when their trying to break through to the other side of a programming challenge. And it’s not just true of R programming.