Two math coaches who have spearheaded the transition to remote learning in their district have distilled their experience of what works into a guide for teaching math from a distance. Filled with ready-to-use strategies, this QRG in the new set of Strategies for Distance Learning Guides is organized by 4 priorities:
mathematical identity
growth mindset
reasoning and problem-solving
engaging activities
Samantha Bennet and Alaina Barkley show how to incorporate routines into online learning that support these priorities, from connecting with students, to supporting their learning with games and problem-solving tasks, to assessing their work.
Each 8.5" x 11" multi-panel guide is laminated for extra durability and 3-hole-punched for binder storage.
Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations with ggplot; and create custom R packages and web-based interactive visualizations with Shiny. In addition, you will cover common data analysis tasks including importing data from diverse sources such as SAS files, CSV files, and JSON. You will map out the features in RStudio so that you will be able to customize RStudio to fit your own style of coding.
Finally, you will see how to save a ton of time by adopting best practices and using packages to extend RStudio. Learn RStudio IDE is a quick, no-nonsense tutorial of RStudio that will give you a head start to develop the insights you need in your data science projects.
What You Will Learn
Quickly, effectively, and productively use RStudio IDE for building data science applicationsInstall RStudio and program your first Hello World applicationAdopt the RStudio workflow Make your code reusable using RStudioUse RStudio and Shiny for data visualization projectsDebug your code with RStudio Import CSV, SPSS, SAS, JSON, and other data
Who This Book Is For
Programmers who want to start doing data science, but don’t know what tools to focus on to get up to speed quickly.
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