Courses tagged with "Online sap training" (173)

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

Next generation apps have brought intelligence to software, enabling users to interact with everyday devices in new ways.

In this data science course for developers, you will learn how to create smart applications that use the power of machine learning to engage with users in previously unimaginable ways.

When you’re designing and developing new software, it’s easy to get laser-focused on getting it functional and into the market or deployed as soon as possible. Thus, many engineering teams develop software that supports their native language first, postponing support for other languages until “later,” when they think they will have the bandwidth. In other words, they don’t plan ahead. The problem with this approach, which experienced developers have found out the hard way, is that it sacrifices budget, time, and opportunity.

Redesigning and rebuilding a different edition of your software for each and every language or market can be a colossal effort. As this computer science course will demonstrate, planning ahead is far more efficient, and the marginal cost of supporting multiple languages from the get go is less than you may think. Harnessing international functionality in operating systems and programming languages makes writing code that works for multiple languages and markets much simpler than retrofitting existing code.

The instructors for this course include programmers who have worked on globalization and localization of some of the world’s most successful software. They’ve experienced the good, the bad, and the ugly of creating world-ready software, and they’re here to ensure your software’s user experience works consistently, regardless of where users are from or what languages they speak.

This course has three parts: the business case, world-ready design, and world-ready development. While students can complete parts one and two without programming knowledge, part three requires programming experience.

Ready to take your first steps in IoT device development? Bring your basic programming skills, and get started with this practical exploration of what IoT means and how to use Microsoft Azure technologies in IoT solutions. See how IoT is being implemented by businesses around the world, and configure and implement your own end-to-end IoT solution using the Azure IoT Hub.

With help from the experts, learn the fundamentals of key platform features. Start out with device basics, like registration and tracking, and then implement cloud-to-device and device-to-cloud messaging. Take a look at Azure analytics, including Azure Stream Analytics, to perform real-time monitoring of incoming data and to generate alerts. Then, store sensor data in the cloud using DocumentDB, implement basic Power BI features, and add remote management and update capabilities to your device. In this self-paced course, explore different starter kits and work through a practical project with the Raspberry Pi kit. Using a combination of written and video-based instructional materials, along with a comprehensive series of hands-on lab activities, get an up-close look at real-world IoT skills that you can start using right away.

In this computer science course, you will learn how to deploy an ASP.NET MVC application, which is a web application framework developed by Microsoft, which implements the model–view–controller (MVC) pattern, to the Microsoft Azure platform. We will expand on the application by learning about Microsoft Azure’s capabilities and then adding functionality to make your application a more robust and highly available cloud-based solution.

As a data pro, you know that some scenarios—particularly those involving real-time analytics, site personalization, IoT, and mobile apps—are better addressed with NoSQL storage and compute solutions than they are with relational databases. Microsoft Azure has several NoSQL (or “Not Only SQL”) non-relational data storage options to choose from. NoSQL databases are generally built to be distributed and partitioned across many servers. And they’re built to scale out for high availability and to be flexible enough to handle semi-structured and unstructured data. If you have a data model that is constantly evolving and you want to move fast, that’s what these databases are about.

In this practical course, complete with labs, assessments, and a final exam, join the experts to learn how NoSQL has evolved over time. Explore non-relational data storage options in Azure, and see how to use them in your applications. Find out how to create, store, manage, and access data in these different storage options. Get an in-depth look at Azure Table Storage, DocumentDB, MongoDB, and more. Learn about the “three Vs”—variety (schemas or scenarios that evolve quickly), volume (scale in terms of data storage), and velocity (throughput needs to support a large user base). Take this opportunity to get hands-on with NoSQL options in Azure.

Database development is more than just creating a table with rows and columns. This computer science course introduces features and technologies for implementing a database. Topics include:

• Logical table design
• Ensuring Data Integrity
• Indexes
• Views

This courses focuses on the creation of database objects including views, stored procedures, columnstore indexes, and more.

Students considering this course should be familiar with fundamental database concepts.

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

Take your first step in using C# and XAML to develop Windows 10 Universal Windows Platform apps. In part one of this three-part programming series (three x 4-week courses) you develop a responsive UI that automatically adapts as the app window changes size.

You will also learn to implement XAML data binding and basic application lifecycle management. Put your existing C# and XAML skills to work creating apps for the new Windows app store.

*IMPORTANT:
This course will NOT teach C#, XAML or programming basics.
Prior experience programming in C# and XAML is required.

Use C# and XAML to develop Windows 10 Universal Windows Platform apps that look great on any Windows 10 device. In part two of this three-part programming series (three x 4-week courses) you develop an MVVM app with an adaptive UI that looks great running on phones, tablets, and PCs. You will also learn to develop Windows 10 navigation and menu structures, integrate Cortana into your app, and manage the built-in camera of mobile device. Put your existing C#/XAML skills to work creating apps for the new Windows app store.

*IMPORTANT: This course will NOT teach C#, XAML or programming basics.

Prior experience programming in C# and XAML is required.

Use C# and XAML to develop Windows 10 Universal Windows Platform apps that you will be proud to publish to the new Windows store. In part three of this three-part programming series (three x 4-week courses) you develop an app that connects to the cloud for data and services, implements notifications, geofencing, and live tiles, and includes advanced features such as speech-to-text and inking. Put your existing C#/XAML skills to work creating apps for the new Windows app store.

*IMPORTANT: This course will NOT teach C#, XAML or programming basics. Prior experience programming in C# and XAML is required.

In Enabling Office 365 Clients you will learn how to plan the deployment of Microsoft Office 365 ProPlus clients. You will learn how to manage the deployments and how to customize the components you want to deploy in your Office 365 tenant. We will also take you through the steps of monitoring your Office 365 clients with the built-in telemetry tools for IT administrators.

Enterprise Resource Planning Systems are used for companies of all size and within any industry to record their business activities. By understanding concepts of ERP systems and business processes, you will be able to differentiate ERP systems from other business systems.

You will be able to make critical decisions accurately when you company is changing business systems or upgrading to ERP systems.

What you will learn?

• Evolution of ERP System
• Core Concepts of ERP
• Business Functions Overview in Commercial ERP Systems
• Business Processes in Finance and Accounting
• Business Processes in Human Resources
• Business Processes in Logistics and Supply Chain
• Business Processes in Sales and Services
• Business Processes in Product Life-cycle and Production
• Components of Modern ERP Systems
• Value Drivers and Differentiators
• Forces for Successful ERP Implemenation
• Open Source and Commercial ERP systems and Providers

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

If you’re considering a career as a data analyst, you need to know about histograms, Pareto charts, Boxplots, Bayes’ theorem, and much more. In this applied statistics course, the second in our Microsoft Excel Data Analyst XSeries, use the powerful tools built into Excel, and explore the core principles of statistics and basic probability—from both the conceptual and applied perspectives. Learn about descriptive statistics, basic probability, random variables, sampling and confidence intervals, and hypothesis testing. And see how to apply these concepts and principles using the environment, functions, and visualizations of Excel.

As a data science pro, the ability to analyze data helps you to make better decisions, and a solid foundation in statistics and basic probability helps you to better understand your data. Using real-world concepts applicable to many industries, including medical, business, sports, insurance, and much more, learn from leading experts why Excel is one of the top tools for data analysis and how its built-in features make Excel a great way to learn essential skills.

Before taking this course, you should be familiar with organizing and summarizing data using Excel analytic tools, such as tables, pivot tables, and pivot charts. You should also be comfortable (or willing to try) creating complex formulas and visualizations. Want to start with the basics? Check out DAT205x: Introduction to Data Analysis using Excel. As you learn these concepts and get more experience with this powerful tool that can be extremely helpful in your journey as a data analyst or data scientist, you may want to also take the third course in our series, DAT206x Analyzing and Visualizing Data with Excel. This course includes excerpts from Microsoft Excel 2016: Data Analysis and Business Modeling from Microsoft Press and authored by course instructor Wayne Winston.

This course is also part of the Microsoft Excel for the Data Analyst XSeries.

Excel は、データの分析と可視化の目的で広く使われているソリューションの 1 つです。改善された可視化と高度なビジネスロジックを備えた、より多くのデータの分析を可能にするツールが含まれています。このコースでは、Excel 2016でこれらの新しいツールの最新バージョンを、Microsoft Excel製品チームのエキスパートより紹介します。

各種のソースからデータをどのようにインポートするかを学び、データソースを組み合わせてマッシュアップを作成し、分析用のデータを準備します。データを準備した後、ビジネス計算がDAX 計算エンジンを使ってどのように表現されるかを、明らかにします。どのようにしてデータを可視化するか、 Power BI クラウド サービスに共有するかを見ていきます。その後、ダッシュボードで利用できるようにし、簡単な英文を使って質問したり、モバイル デバイスでも利用できます。

本コースの内容のレベルが少し高く、Excel の知識に関していくらかギャップを埋める必要があると感じていますか。ピボット テーブル、ピボットグラフ、スライサーの連動の仕組みや、ダッシュボード作成のヘルプに関し、もっと理解を深める必要がありますか。その場合には、「DAT205x: Introduction to Data Analysis using Excel」 をご覧ください。

本コースは 「Microsoft Excel for the Data Analyst XSeries」 にも含まれています。

Wondering how to host your apps in the cloud? Learn how to create a host environment with Azure App Service Web Apps, the platform that gives you the freedom to build and deploy wherever you want, using the tools, applications, and frameworks of your choice. Plus, it scales automatically when you need it to. Bring your basic programming experience and join experts who will teach you how to use the Azure portal to create, deploy, and manage Azure App Service Web Apps. Get a tour of the Azure portal, create a free Azure account, and then dive into application analytics. Work through a continuous deployment scenario that links a GitHub repository to Azure, and use Azure Resource Manager to implement an automated deployment. Then, configure diagnostics and logging in your deployed application as you learn to detect and correct issues in your Azure web apps.

In this hands-on, self-paced course, each lab guides you step by step through a real development scenario, with tasks that are key to your job as a developer. Plus, get helpful resource documents and videos that support the labs and provide further learning opportunities.

Interested in gaining the basic skills needed to go beyond simple IP address management? It may be time to consider management tools like DHCP and DNS in your quest to optimize your network infrastructure management.

This self-paced computer science course is an introduction to working with Dynamic Host Configuration Protocol (DHCP) in a Windows Server networked environment where you’ll have an opportunity to learn the basics of IP address management, DHCP scope creation and configuration and how to manage and maintain a DHCP infrastructure.

This fundamentals course will prepare you for more advanced courses in Windows Server administration.

You can take this course before or after course Implementing DNS in Microsoft Windows Server. Both courses provide essential skills for working with networks.

DNS is an essential core pillar of all Microsoft networking infrastructure. However, incorrectly configured DNS is one of the most common causes of slow and failed logons in Microsoft environments.

In this computer science course, you will learn the core skills to quickly and easily implement DNS in your work environment.

You can take this course before or after course Implementing DHCP in Microsoft Windows Server. Both courses provide essential skills for working with networks.

Microsoft SQL Server Integration Services (SSIS) features graphical tools and wizards for:

• building and debugging packages
• tasks for performing workflow functions
• executing SQL statements
• data sources and destinations for extracting and loading data
• transformations for cleaning, aggregating, merging, and copying data

In this computer science course, you'll extract data from a wide variety of data sources, such as files and relational data sources, perform data integration and transformation solutions, and load data into single or multiple destinations. You will solve complex business problems using best practices and troubleshooting techniques.

The Microsoft SQL Server enables various techniques to improve the performance of a database. In this computer science course, you'll learn techniques for implementing In-Memory features including columnstore indexes, memory-optimized tables, and native stored procedures.

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

One of the key components when you plan and deploy Microsoft Windows Server is storage. Most organizations require lots of storage because users and applications are constantly working with and creating data.

As a Microsoft Windows Server System Administrator you must be able to:  

• Identify and decide on the type of storage your organization needs
• Manage disks, volumes, and file systems
• Use BitLocker to secure volumes
• Encrypt data with Encrypted File System (EFS)

This interactive computer science course teaches through video, discussion, practical exercises and assessments. Each topic is job- focused and designed to ensure you can confidently perform the task.

This course can help you:

• Decide if a career in IT is for you
• Prepare for an introductory job in Windows Server administration
• Study for Microsoft certification tests and badges
• Improve your skills in handling disks and volumes, and securing Windows Server storage

Students taking this course will also be interested in INF201.22, Optimizing Windows Server Storage. INF201.22 builds on the foundational knowledge gained in this course.

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

Are you ready for big data science? In this course, learn how to implement predictive analytics solutions for big data using Apache Spark in Microsoft Azure HDInsight. See how to work with Scala or Python to cleanse and transform data and build machine learning models with Spark ML (the machine learning library in Spark),

Note: To complete the hands-on elements in this course, you will require an Azure subscription and a Windows 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.

This course is also part of the Microsoft Azure HDInsight Big Data Analyst XSeries.