Courses tagged with "Evaluation" (733)

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.

This overview course is designed to show new students how to take a course on edx.org. You will learn how to navigate the edX platform and complete your first course! From there, we will help you get started choosing the course that best fits your interests, needs, and dreams.

With the continuous generation of massive amounts of biomedical data on a daily basis, whether from research laboratories or clinical labs, we need to improve our ability to understand and analyze the data in order to take full advantage of its power in scientific discoveries and patient care. For non-bioinformaticians, “handling” big data remains a daunting task. This course was designed to facilitate the understanding, analysis, and interpretation of biomedical big data to those in the biomedical field with limited or no significant experience in bioinformatics. The goal of this course is to “demystify” the process of analyzing biomedical big data through a series of lectures and online hands-on training sessions and demos. You will learn how to use publicly available online resources and tools for genomic, transcriptomic, and proteomic data analysis, as well as other analytic tools and online resources. This course is funded by a research grant from the US National Institutes of Health (NIH)-Big Data to Knowledge (BD2K) Initiative.

Aprenderás a desarrollar mensajería en tiempo real como WhatsApp, a conectar con el API de Twitter, hacer que tus aplicaciones interactúen con Facebook, crear tu propia red social de fotos, y hacer apps que se prueben automáticamente.

Un curso dinámico e interactivo, con los aspectos más importantes en la construcción de aplicaciones de forma profesional para Android.

Nuestro curso es el único que te enseñará a dar el siguiente paso en la construcción de aplicaciones profesionales para Android, esto lo haremos a través de darte las herramientas y conocimiento más actualizado. Inclusive tendremos en exclusiva una vídeo conferencia desde el Google I/O!

Sabías que Android es el sistema operativo dominante con un 82.2% de la cuota de mercado. Imagina cuantos miles de consumidores puedes tener al crear tus apps profesionales para Android.

En nuestro curso de Android aprenderás: Android Studio, actividades, fragmentos, intents, Model-View-Presenter, RecyclerView, ViewHolder, Adapter, Firebase, Navegación con tabs, ViewPager, autenticación, almacenamiento, consumo de API, Facebook SDK, GCM, notificaciones, Integración con Android wear, Cámara, Google Play Services, GPS, mapas, Graddle, Unit testing (JUnit4, Mockito), UI testing (Espresso).

To be effective, educational technologies must be designed based on what we know about how people learn. Through interviews with experts in the field, this course explores educational technologies, outlines the theories that influence their development, and examines their use.

Participants will both give and receive feedback from others in the class forums as part of this course. To synthesize main ideas, participants will work towards creating a pitch for a new educational technology.

In Unit 1, we will talk about the history of educational technologies and how these technologies have influenced how we learn.

In Unit 2, we will explore what it means to learn something and different approaches to deepen learning.

In Unit 3, we will focus on active learning and take a closer look at simulations that can foster learning.

Unit 4 introduces the idea of collaborative learning and considers communities of practice.

Unit 5 provides an overview of different types of assessment and delves into how technology is changing the field of assessment.

Unit 6 is all about design-based research, a methodology for research and design of educational innovations.

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.

This course provides you with opportunities to integrate and apply your information security knowledge.

Learn how to create a culture of experimentation, where data is swiftly gathered to assess business value and drive innovation.

In this course, you will learn how to use Object and Service Oriented design principles and your development team to increase system flexibility so you can efficiently run experiments at the technical level and also refine business processes and models.

Good design enables a capability for experimentation that would otherwise be infeasible as it speeds up learning and decreases the development time needed to realize the necessary technical changes to drive the next experiment. This capability produces an increase in optionality and paths for innovation; and so overall increases business value.

The course, part of both the Digital Product Management and Digital Leadership MicroMasters programs, addresses both the digital (technical) and social (people) infrastructures and the essential interfaces between them. Managing these interfaces requires designing varying capacities to transfer, translate or transform the knowledge being used to develop experiments. This course focuses on two aspects of the social infrastructure:

1. the capacity of the technical infrastructure to engage user and identify their needs;
2. the ability to manage the interfaces between the development team and the technical infrastructure over time.

We will focus on how modular design is essential to project, process, and business model experimentation. Most importantly, you will learn how the synthesis of design, management and experimentation can create real business value.

El curso ofrece la oportunidad de aprender las principales técnicas de visión por computador que permiten detectar y reconocer objetos en una imagen. Está orientado a estudiantes interesados en adquirir el conocimiento necesario para el desarrollo de aplicaciones reales de detección y reconocimiento de objetos.

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.

Learn the basics of creating data products using Shiny, R packages, and interactive graphics. This is the ninth course in the Johns Hopkins Data Science Specialization.

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.

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.