SQL Server Machine Learning Services: R

  • 0
  • 2-3 hours worth of material
  • LinkedIn Learning
  • English
SQL Server Machine Learning Services: R

Course Overview

Learn how to execute R code directly on SQL Server with Machine Learning Services.

Course Circullum

Introduction
  • Analyze SQL Server data with R
  • What you should know
  • Make the most of the exercise files
1. Get Started with MLS
  • What is Machine Learning Services (MLS)?
  • Install Machine Learning Services for R
  • Enable script execution in SQL Server
  • Write your first R script
  • R data types
2. Write R Scripts for SQL Server
  • Variables in R
  • Import a data set from SQL Server
  • Query data into an R data frame
  • Output data to a result set
  • Select values from a data frame
  • Create a data frame from vectors
  • Subset a data frame
  • Challenge: Import data
  • Solution: Import data
3. Create a SQL Stored Procedure
  • Sample a data set
  • Parameterize a stored procedure
  • Challenge: Write a stored procedure
  • Solution: Write a stored procedure
4. Output Graphics with R
  • View installed packages
  • Produce graphs and plots
  • Create a bar plot
  • Challenge: Create a pie chart
  • Solution: Create a pie chart
5. Create an External Data Science Client
  • Install MLS on a standalone server
  • Add development tools to a client
  • Install and configure RStudio
Conclusion
  • Next steps
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This Course Include:
Introduction
  • Analyze SQL Server data with R
  • What you should know
  • Make the most of the exercise files
1. Get Started with MLS
  • What is Machine Learning Services (MLS)?
  • Install Machine Learning Services for R
  • Enable script execution in SQL Server
  • Write your first R script
  • R data types
2. Write R Scripts for SQL Server
  • Variables in R
  • Import a data set from SQL Server
  • Query data into an R data frame
  • Output data to a result set
  • Select values from a data frame
  • Create a data frame from vectors
  • Subset a data frame
  • Challenge: Import data
  • Solution: Import data
3. Create a SQL Stored Procedure
  • Sample a data set
  • Parameterize a stored procedure
  • Challenge: Write a stored procedure
  • Solution: Write a stored procedure
4. Output Graphics with R
  • View installed packages
  • Produce graphs and plots
  • Create a bar plot
  • Challenge: Create a pie chart
  • Solution: Create a pie chart
5. Create an External Data Science Client
  • Install MLS on a standalone server
  • Add development tools to a client
  • Install and configure RStudio
Conclusion
  • Next steps
  • Provider:LinkedIn Learning
  • Certificate:Certificate Available
  • Language:English
  • Duration:2-3 hours worth of material
  • Language CC:

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