- 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
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.
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
Businesses require TODO.
Some industry examples of TODO.
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* |
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:
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).
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 |
- TODO
This is a modular lab, and in each section, you'll learn concepts, technologies and processes to help you complete the solution.
| Module | Topics |
| 01 - *TODO* | *TODO* |
| 02 - *TODO* | *TODO* |
Next, Continue to prerequisites
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