Courses tagged with "Online sap training" (173)

In this course, you'll learn all about back-end web development so that you can turn a basic web app prototype into something that can store live data. We'll cover the basics of Node.js so that you can write JavaScript code to build the back-end of your app, as well as the basics of SQL and SQLite to write queries to work with a database. By the end of this course, you'll have a functional web app prototype that can be accessed on the Web.

Upon completion of this course, you will be able to:

• Distinguish between front-end and back-end within the context of web app development
• Create a back-end web server using Node.js
• Understand the uses and types of databases and DBMSs
• Construct SQL queries to perform CRUD operations on a database
• Deploy a web app on Azure

In this course, you'll learn how to turn a static web front-end into something that users can interact with. You'll learn the fundamentals of JavaScript and how to apply JavaScript to enhance the interactivity of webpages. By the end of this course, you'll have a web app prototype that allows basic interaction.

Upon completion of this course, you will be able to:

• Read code and describe what it does
• Utilize understanding of program execution to formulate algorithms to solve specific tasks
• Write JavaScript code to manipulate DOM elements on a webpage

Once you complete this course, continue onto Building Functional Prototypes using Node.js to learn how to write JavaScript code to build the back-end of your app!

This course is part of the Microsoft Professional Program Certificate in Front-End Web Development. 

Want to give your apps the power of the cloud? Roll up your sleeves for a fast-paced, hands-on tour of several cloud-powered features in Azure, and learn how to integrate Azure services within a single web app.

As you work with the experts through an easy-to-follow scenario, start by creating a web app using Angular and .NET Core. Then, integrate Bing Search to find and retrieve images to display on your site. Ready for artificial intelligence (AI)? Use Azure Cognitive Services Computer Vision to analyze and detect the objects within the images you found. Plus, use SQL Azure to store your metadata in a scalable database, retrieve the data, and display it using .NET Core Web API and Entity Framework Core.

Complete the scenario with Azure Search for quick retrieval of images based on your own search terms. Finally, use Azure Active Directory B2C to enable secure access to your stored images and to protect the entire application.

As organizational data stored in email and documents continues to grow, Office 365 makes it easy to find relevant information as you need it.

In this course, you will learn how to plan, implement and manage eDiscovery in your organization. This course covers all necessary steps to effectively plan and manage discovery requests and conduct an Advanced eDiscovery analysis.

This is the first in a series of courses concerning Compliance in Office 365.

In Compliance in Office 365​^®: Data Governance, you will learn how to plan, implement, and manage the archiving and data retention features of Office 365 in your organization. As organizational data stored in email and documents continues to grow, Office 365 makes it easy to control the information that you want to keep and control the flow of information out of your organization. This course covers all the information you need to effectively plan and manage data retention and data leakage.

This is the second in a series of courses concerning Compliance in Office 365. By completing this course, you will gain an understanding of the archiving and data retention capabilities of Office 365 and data leakage prevention.

In this computer science course, we will discuss the discipline of Master Data Management (MDM) and how to deliver and manage MDM solutions with SQL Server 2016 Master Data Services (MDS).

The course has been written specifically for data professionals. You will learn about common MDM scenarios, and how MDS solutions can be designed, developed, secured and managed.

Developing a database can include the creation of programmatic database objects. These objects encapsulate different types of functionality inside your database. In this computer science course, you'll learn about the types of programmatic database objects, how to create stored procedures, triggers, user-defined functions, and advanced topics including implementing managed code, and using the R programming language.

This course is part of the Microsoft SQL Database Development XSeries.

Is your data messy? Do you need to learn how to clean it up? In this computer science course, we will discuss the discipline of Data Quality Assurance and Data Quality Services (DQS). You will learn why your data needs cleansing, the capabilities and features of DQS, what a DQS solution looks likes and how data cleansing integrates with an Integration Services (SSIS) data flow. We will demonstrate a variety of critical data quality activities such as knowledge discovery, domain management, matching policies for the de-duplication of data, and administration topics covering installation, configuration and security.

This course is part of the Microsoft Professional Program Certificate in Data Science.

Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles with experts from Duke University and Microsoft.

In this data science course, you will learn key concepts in data acquisition, preparation, exploration, and visualization taught alongside practical application oriented examples such as how to build a cloud data science solution using Microsoft Azure Machine Learning platform, or with R, and Python on Azure stack.

This course is part of the Microsoft Professional Program Certificate in Data Science.

Showcase the knowledge and skills you’ve acquired during the Microsoft Professional Program for Data Science, and solve a real-world data science problem in this program capstone project. The project takes the form of a challenge in which you will explore a dataset and develop a machine learning solution that is tested and scored to determine your grade.

Note: This course assumes you have completed the previous courses in the Microsoft Professional Program for Data Science. For details, go to https://academy.microsoft.com/en-us/professional-program/data-science.

Machine learning uses computers to run predictive models that learn from existing data to forecast future behaviors, outcomes, and trends. Deep learning is a sub-field of machine learning, where models inspired by how our brain works are expressed mathematically, and the parameters defining the mathematical models, which can be in the order of few thousands to 100+ million, are learned automatically from the data.

Deep learning is a key enabler of AI powered technologies being developed across the globe. In this deep learning course, you will learn an intuitive approach to building complex models that help machines solve real-world problems with human-like intelligence. The intuitive approaches will be translated into working code with practical problems and hands-on experience. You will learn how to build and derive insights from these models using Python Jupyter notebooks running on your local Windows or Linux machine, or on a virtual machine running on Azure. Alternatively, you can leverage the Microsoft Azure Notebooks platform for free.

This course provides the level of detail needed to enable engineers / data scientists / technology managers to develop an intuitive understanding of the key concepts behind this game changing technology. At the same time, you will learn simple yet powerful “motifs” that can be used with lego-like flexibility to build an end-to-end deep learning model. You will learn how to use the Microsoft Cognitive Toolkit — previously known as CNTK — to harness the intelligence within massive datasets through deep learning with uncompromised scaling, speed, and accuracy.

When you need to scale your data warehouse's storage and processing capabilities in minutes, not months, you need a cloud-based massively parallel processing solution.

In this computer science course, you will learn how to deploy, design, and load data using Microsoft's Azure SQL Data Warehouse, or SQL DW. You'll learn about data distribution, compressed in-memory indexes, PolyBase for Big Data, and elastic scale.

Note: To complete the hands-on elements in this course, you will require an Azure subscription. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services).  Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices.

This computer science course from Microsoft provides learners with the knowledge and skills required to design, implement, and load a relational data warehouse. In this four week course, you’ll learn how to analyze business requirements, design dimension and fact tables, index and partition the data for performance, and create ETL solutions for ongoing loading of the warehouse.

This course is taught with short-form lectures, demonstrations, and interviews with industry experts. Quizzes and hands-on labs, using Microsoft SQL Server 2016 and Azure SQL Database, will help to reinforce your knowledge, practice skills, and solve problems.

Note: To complete the hands-on elements in this course, you will require an Azure subscription and a Windows, Linux, or Mac OS X client computer. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices.

In this course you will learn the process of turning ideas into technical solutions. Early learners often need to learn context and the big ideas of a process before diving into the advanced details, and that’s exactly what you’ll get in this course. You’ll build upon your own idea for an app as you learn the process of conducting market research, user-centered design, and front-end web development. By the end of the course, you will have a user-centered design, wireframes and specification for a web app, along with a front-end user interface built with HTML and CSS.

Upon completion of this course, you will be able to:

• Describe how software is used to solve problems
• Define application requirements based on user research
• Design effective products using Human Centered Design
• Employ Visual Studio Code and web browser tools in the development of web pages
• Learn the basics of how the Internet works
• Explore various prototyping techniques following industry standard design principles
• Develop basic HTML and CSS webpages
• Once you complete this course, continue onto Building Interactive Prototypes using JavaScript to enhance your prototype as you learn how to use JavaScript to allow interaction on your webpages.

This app development course covers the advanced XAML skills necessary to deliver compelling applications for the Universal Windows Platform.  The learner will gain experience developing re-usable XAML components with XAML markup and C# code using Visual Studio 2015.  This course teaches both intermediate and advanced tasks that enable the learner to create applications that are testable, well-structured and go well beyond the basic XAML controls in look & feel.  This course includes hands-on labs that enables the learner to learn the advanced XAML tasks that are the basic components of an enterprise-class XAML solution that can be deployed to solve real world problems.

If you have large volumes of data and you need to deliver intuitive, interactive, and high-performance access to it, don’t miss this course!

Whether you're new to SQL Server 2016 Analysis Services or you’re experienced with previous versions, join us for a look at this powerful technology.

Learn how to design dimensions that enable you to browse data with hierarchy memberships. Then explore ways to assemble these dimensions in order to analyze measures in cubes.

You’ll get details on how to enhance your cubes with business logic; creating calculated members, named sets, scoped assignments, and key performance indicators (KPIs) with MDX—the language of multidimensional models.

Compare tabular and multidimensional Analysis Services models, so you can determine which is best for your project. Plus, find out how to manage and optimize multidimensional databases as you explore storage, processing, security, and deployment. Watch instructor demonstrations, and then roll up your sleeves to apply the lessons yourself with sample data in comprehensive, hands-on exercises.

By the end of the course, you'll have designed, developed, and deployed a multidimensional model, ready to deliver high-performance business user experiences. Register today for this practical SQL Server 2016 Analysis Services course.

Note: To complete the hands-on elements in this course, you will require an Azure subscription. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices.

This course is part of the Microsoft Professional Program Certificate in Big Data. 

The past can often be the key to predicting the future. Big data from historical sources is a valuable resource for identifying trends and building machine learning models that apply statistical patterns and predict future outcomes.

This course introduces Azure Machine Learning, and explores techniques and considerations for using it to build models from big data sources, and to integrate predictive insights into big data processing workflows.

The way we do work today is fundamentally different than just a few years ago. Work happens on our phones, tablets and laptops everywhere we go: on manufacturing floors, in airplanes or at customer meetings. And yet, the apps we use to do business have been slow to keep pace with employee demand. Not every business problem can be solved with off-the-shelf solutions, but developing custom solutions has traditionally been too costly and time consuming.

PowerApps and Microsoft Flow are both aimed squarely at these gaps. They give people who best understand their needs and challenges the power to quickly meet them, without the time, complexity and cost of custom software development.

If you're a business analyst or business expert, who wants to create apps and automate workflows to solve business needs, then this course is for you. In this course, you will learn how to use your existing knowledge and apply it to improve business process in your organization. You will learn how to create apps that solve specific business needs, without writing code or struggling with integration issues. You will learn how to focus on your data and business processes, and leverage the capabilities of PowerApps and Microsoft Flow to deliver a solution that works across phones, tablets and browsers.

Want to build on your professional database or developer skills? ADO.NET and Entity Framework sit at the intersection of database and developer tools, and they’re key to creating client applications that read, write, and modify data. This self-paced course offers a deep dive into these fundamental technologies.

The course starts by accessing relational databases with ADO.NET, which is used by applications to retrieve, handle, and update data. You will get an overview of the technology, explore its history, and then look at the specifics of data providers, access, and queries. In the hands-on lab, build a simple console application to access SQL data.

You will also learn about building data client apps with Entity Framework Core, which eliminates the need for most of the data-access code that developers usually need to write. We will review Entity Framework versions, models, queries, and operations, and then build a desktop app. Advanced data access using Entity Framework will also be discussed as you learn about change tracking, and explore testing. Plus, build a web app to access SQL Data.

At the end of the course, you will learn how to build a scalable web service that accesses data and implement a functional cloud service using Entity Framework as the data layer and an OData feed using Web API. You wil test your service, and then implement basic sorting and filtering of your data service. 

Bring your basic web programming and C# experience, along with your knowledge of querying relational data and data storage. Take the labs, assessments, and final exam, and add to your professional developer skillset as you learn to build various kinds of client applications that access and work with data.

If you’re a front-end developer using Angular, you’re already creating dynamic webpages for mobile and desktop web apps. Broaden your programming experience with a deeper dive into this open source framework.

In this course for developers using Angular versions 2 and greater, you’ll work through a series of sequential modules that cover increasingly complex topics. See why tried-and-true Angular does just what you need it to do, as you create sophisticated, enterprise-grade web apps that render, HTML components based on the client.

Get a history of Angular, and explore basic Angular concepts and Node Package Manager. Create components and HTML templates, and look at template syntax and binding.

Learn about the lifecycle of an Angular component or directive, the dependency injection framework, and even how to design modular applications. Work with advanced TypeScript features, like declarations, modules, and namespaces, and see their usage within Angular.

Finally, review the TypeScript compiler and learn how it is used with Visual Studio Code. Make the most of the videos, hands-on labs, and multiple-choice assessments, as you build on your Angular experience.