class: center, middle, inverse, title-slide # Wrapping up ## Thanks and follow-up ### <b>rstudio::</b>conf(2022) --- class: left, middle, rstudio-logo, bigfont ## Thank you 🙏 This is the first time we have run this workshop. **Thank you** for being a part of it! 📖 All the material is open source and freely available. All your RStudio Cloud work will remain in your account for your future reference and use. 🧑‍🎓 Our faculty can view/review your work on RStudio Cloud if you want us to - just tag one or all of us on our [Github Discussions](https://github.com/rstudio-conf-2022/people-analytics-rstats/discussions) page. We will also continue to monitor that page for questions in the coming days and weeks. --- class: left, middle, rstudio-logo ## Ideas for future learning * As we mentioned at the beginning of the workshop, we've really only had time to look at two very important topics that are most commonly used in people analytics * Other, more general, courses you could consider in the future include: - **Natural Language Processing (NLP)**: Particularly if you deal with a lot of text data - **Tidyverse**: For general data manipulation, reporting and wrangling - **Machine Learning**: For more predictive analytics applications - **Shiny**: For building front end data reporting applications * Our team works with all of these and more, and we'd be happy to talk to any of you about our work during the remaining days of the conference