Merge branch 'main' into gh-pages

assets/courses.json

@@ -76,58 +76,39 @@
     "related": []
   },
   {
-    "title": "PHS Methods",
-    "slug": "phs-methods",
-    "description": "The first step in taking R further. Learn about the `phsmethods` package created by and for staff in PHS.",
-    "overview": "",
-    "link": "https://scotland.shinyapps.io/phs-learnr-phsmethods/",
+    "title": "SQL in R",
+    "slug": "sql-in-r",
+    "description": "Learn about writing and using SQL commands in R.",
+    "overview": "Using SQL is is applicable to so many roles, it's almost inevitable that you'll come across it at some stage. However, this could also mean that you inherit pre-written SQL or be dealing with massive quantities of data. Using SQL doesn't need to be intimidating but it's going to make your life a lot easier if you know what you're doing and how to do it efficiently. This course is a complete introduction to SQL from the foundations up, you can use the first few chapters to learn about SQL and leave it there. However, the course continues and shows how that SQL code can be integrated into R, making your coding experience much more seamless. The course concludes with a taster for using an R package, dbplyr. This package allows you to use familiar R syntax (if you're familiar with the Tidyverse) rather than using SQL at all.",
+    "link": "https://scotland.shinyapps.io/phs-learnr-sql/",
     "f2f": "",
-    "online": "https://scotland.shinyapps.io/phs-learnr-phsmethods/",
+    "online": "https://scotland.shinyapps.io/phs-learnr-sql/",
     "image": "",
     "type": ["Online Course"],
     "technology": "R",
     "level": "2",
-    "packages": ["base", "phsmethods"],
-    "tags": ["r"],
+    "packages": ["base", "odbc", "dbplyr"],
+    "tags": ["r", "sql"],
     "prereqs": ["Introduction to R"],
     "timetable": "",
     "materials": "",
     "related": []
   },
   {
-    "title": "Introduction to Open Data",
-    "slug": "introduction-to-open-data",
-    "description": "Learn about open data, what it is, why we use it, and how to interact with our open data using R.",
-    "overview": "Open data is the name for publicly released data which is made freely available to everyone to use and reuse in any way they like. With open data, anyone is able to make use of its potential: improving, innovating, and making better decisions. In this course, we provide a theoretical background of open data, building on PHS practices, and then getting practical with some coding examples in R. ",
-    "link": "https://scotland.shinyapps.io/phs-learnr-opendata",
+    "title": "Reproducible Environments in R",
+    "slug": "reproducible-environments-in-r",
+    "description": "Learn about creating and using reproducible environments in R.",
+    "overview": "This course is a complete introduction to creating and using reproducible environments in R, using the `{renv}` package. It covers reproducibility and the basics of working with environments. The course continues and shows how environments are managed with code, all integrated into R, making your coding experience and collaboration much more seamless. This will be particularly useful for adopting RAP principles, or ensuring the full pipeline is managed within R.",
+    "link": "https://scotland.shinyapps.io/phs-learnr-renv",
     "f2f": "",
-    "online": "https://scotland.shinyapps.io/phs-learnr-opendata",
+    "online": "https://scotland.shinyapps.io/phs-learnr-renv",
     "image": "",
     "type": ["Online Course"],
     "technology": "R",
     "level": "2",
-    "packages": ["base", "ckanr"],
-    "tags": ["r"],
-    "prereqs": ["Introduction to R"],
-    "timetable": "",
-    "materials": "",
-    "related": []
-  },
-  {
-    "title": "SPSS to R",
-    "slug": "spss-to-r",
-    "description": "A companion to the Intro to R course for SPSS users, understanding the differences and how to start translating SPSS to R.",
-    "overview": "While not repeating the content of the Introduction to R course, this course attempts to support existing SPSS users to transition to R. The course follows the same structure to allow you to compare and see how the code varies between the different technologies.",
-    "link": "https://scotland.shinyapps.io/phs-learnr-spsstor/",
-    "f2f": "",
-    "online": "https://scotland.shinyapps.io/phs-learnr-spsstor/",
-    "image": "",
-    "type": ["Online Course"],
-    "technology": "R",
-    "level": "1",
-    "packages": ["base"],
-    "tags": ["r"],
-    "prereqs": ["Introduction to R"],
+    "packages": ["base", "renv"],
+    "tags": ["r", "renv"],
+    "prereqs": ["Introduction to R", "Introduction to Git"],
     "timetable": "",
     "materials": "",
     "related": []
@@ -152,39 +133,39 @@
     "related": []
   },
   {
-    "title": "SQL in R",
-    "slug": "sql-in-r",
-    "description": "Learn about writing and using SQL commands in R.",
-    "overview": "Using SQL is is applicable to so many roles, it's almost inevitable that you'll come across it at some stage. However, this could also mean that you inherit pre-written SQL or be dealing with massive quantities of data. Using SQL doesn't need to be intimidating but it's going to make your life a lot easier if you know what you're doing and how to do it efficiently. This course is a complete introduction to SQL from the foundations up, you can use the first few chapters to learn about SQL and leave it there. However, the course continues and shows how that SQL code can be integrated into R, making your coding experience much more seamless. The course concludes with a taster for using an R package, dbplyr. This package allows you to use familiar R syntax (if you're familiar with the Tidyverse) rather than using SQL at all.",
-    "link": "https://scotland.shinyapps.io/phs-learnr-sql/",
+    "title": "PHS Methods",
+    "slug": "phs-methods",
+    "description": "The first step in taking R further. Learn about the `phsmethods` package created by and for staff in PHS.",
+    "overview": "",
+    "link": "https://scotland.shinyapps.io/phs-learnr-phsmethods/",
     "f2f": "",
-    "online": "https://scotland.shinyapps.io/phs-learnr-sql/",
+    "online": "https://scotland.shinyapps.io/phs-learnr-phsmethods/",
     "image": "",
     "type": ["Online Course"],
     "technology": "R",
     "level": "2",
-    "packages": ["base", "odbc", "dbplyr"],
-    "tags": ["r", "sql"],
+    "packages": ["base", "phsmethods"],
+    "tags": ["r"],
     "prereqs": ["Introduction to R"],
     "timetable": "",
     "materials": "",
     "related": []
   },
   {
-    "title": "Reproducible Environments in R",
-    "slug": "reproducible-environments-in-r",
-    "description": "Learn about creating and using reproducible environments in R.",
-    "overview": "This course is a complete introduction to creating and using reproducible environments in R, using the `{renv}` package. It covers reproducibility and the basics of working with environments. The course continues and shows how environments are managed with code, all integrated into R, making your coding experience and collaboration much more seamless. This will be particularly useful for adopting RAP principles, or ensuring the full pipeline is managed within R.",
-    "link": "",
+    "title": "Introduction to Open Data",
+    "slug": "introduction-to-open-data",
+    "description": "Learn about open data, what it is, why we use it, and how to interact with our open data using R.",
+    "overview": "Open data is the name for publicly released data which is made freely available to everyone to use and reuse in any way they like. With open data, anyone is able to make use of its potential: improving, innovating, and making better decisions. In this course, we provide a theoretical background of open data, building on PHS practices, and then getting practical with some coding examples in R. ",
+    "link": "https://scotland.shinyapps.io/phs-learnr-opendata",
     "f2f": "",
-    "online": "",
+    "online": "https://scotland.shinyapps.io/phs-learnr-opendata",
     "image": "",
     "type": ["Online Course"],
     "technology": "R",
     "level": "2",
-    "packages": ["base", "renv"],
-    "tags": ["r", "renv"],
-    "prereqs": ["Introduction to R", "Introduction to Git"],
+    "packages": ["base", "ckanr"],
+    "tags": ["r"],
+    "prereqs": ["Introduction to R"],
     "timetable": "",
     "materials": "",
     "related": []
@@ -208,6 +189,25 @@
     "materials": "",
     "related": []
   },
+  {
+    "title": "SPSS to R",
+    "slug": "spss-to-r",
+    "description": "A companion to the Intro to R course for SPSS users, understanding the differences and how to start translating SPSS to R.",
+    "overview": "While not repeating the content of the Introduction to R course, this course attempts to support existing SPSS users to transition to R. The course follows the same structure to allow you to compare and see how the code varies between the different technologies.",
+    "link": "https://scotland.shinyapps.io/phs-learnr-spsstor/",
+    "f2f": "",
+    "online": "https://scotland.shinyapps.io/phs-learnr-spsstor/",
+    "image": "",
+    "type": ["Online Course"],
+    "technology": "R",
+    "level": "1",
+    "packages": ["base"],
+    "tags": ["r"],
+    "prereqs": ["Introduction to R"],
+    "timetable": "",
+    "materials": "",
+    "related": []
+  },
   {
     "title": "Introduction to Python",
     "slug": "introduction-to-python",

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