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lab: R Basics for Data Professionals

A Microsoft Course from the SQL Server team

About this lab
Business Applications of this lab
Technologies used in this lab
Before Taking this lab
lab Details
Related labs
Lab Modules
Next Steps

About this lab

NOTE: This course is in active re-development. The course files are complete, and located here, but this page is currently being worked on.

Welcome to this Microsoft solutions lab on the architecture on R Basics for the Data Professional. In this lab, you'll learn basic R structures, programming and data flow. You'll get resources to go much further in your learning journey, but this short lab will get you up and running quickly.

The focus of this lab is to TODO.

You'll start by understanding the concepts of TODO.

This github README.MD file explains how the workshop is laid out, what you will learn, and the technologies you will use in this solution. To download this Lab to your local computer, click the Clone or Download button you see at the top right side of this page. More about that process is here.

You can view all of the courses and other labs our team has created at this link - open in a new tab to find out more.

Learning Objectives

In this lab you'll learn:

  • TODO

The goal of this lab is to TODO.

The concepts and skills taught in this lab form the starting points for:

  • TODO

Business Applications of this lab

Businesses require TODO.

Some industry examples of TODO.

Technologies used in this lab

The solution includes the following technologies - although you are not limited to these, they form the basis of the lab. At the end of the lab you will learn how to extrapolate these components into other solutions. You will cover these at an overview level, with references to much deeper training provided.

Technology Description
*TODO**TODO*

Before Taking this lab

You'll need a local system that you are able to install software on. The lab demonstrations use Microsoft Windows as an operating system and all examples use Windows for the lab. Optionally, you can use a Microsoft Azure Virtual Machine (VM) to install the software on and work with the solution.

This lab expects that you understand data structures and working with SQL Server and computer networks. This lab does not expect you to have any prior data science knowledge, but a basic knowledge of TODO.

If you are new to these, here are a few references you can complete prior to class:

Setup

A full prerequisites document is located here. These instructions should be completed before the lab starts, since you will not have time to cover these in class. Remember to turn off any Virtual Machines from the Azure Portal when not taking the class so that you do incur charges (shutting down the machine in the VM itself is not sufficient).

lab Details

This lab uses TODO.

Primary Audience:Data Professionals tasked with implementing Big Data, Machine Learning and AI solutions
Secondary Audience: Security Architects and Developers
Level: 300
Type:In-Person
Length: 8-9 hours

Related labs

  • TODO

lab Modules

This is a modular lab, and in each section, you'll learn concepts, technologies and processes to help you complete the solution.

ModuleTopics
01 - *TODO* *TODO*
02 - *TODO* *TODO*

Next Steps

Next, Continue to prerequisites

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Legal Notices

License

Microsoft and any contributors grant you a license to the Microsoft documentation and other content in this repository under the Creative Commons Attribution 4.0 International Public License, see the LICENSE file, and grant you a license to any code in the repository under the MIT License, see the LICENSE-CODE file.

Microsoft, Windows, Microsoft Azure and/or other Microsoft products and services referenced in the documentation may be either trademarks or registered trademarks of Microsoft in the United States and/or other countries. The licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks. Microsoft's general trademark guidelines can be found at http://go.microsoft.com/fwlink/?LinkID=254653.

Privacy information can be found at https://privacy.microsoft.com/en-us/

Microsoft and any contributors reserve all other rights, whether under their respective copyrights, patents, or trademarks, whether by implication, estoppel or otherwise.

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