Computer Science: Programming & Software Engineering

 


 

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Self Paced

Begin programming with AngularJS, a complete JavaScript-based open-source client and server-side web application framework that allows you to use HTML as your template language. Want to get started building Web pages with AngularJS, but feel a little overwhelmed? You’ve come to the right place. This course will teach you the programming language using a series of easy to understand AngularJS tutorials.

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Learn how to use current open source tools such as Node.js , Boostrap, Font Awesome and the NPM to improve your web development proficiency. Have you heard about Node.js, the Node Package Manager or Bower? Perhaps you’ve wanted to dive into some open source tooling for your Web development projects. This computer science course focuses on some of the current open source tools and technologies available today for Web developers. In the five modules of this course, you will learn how to use Node.js and the NPM along with other tools like Chalk, Angular, Bootstrap and Font Awesome.

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Get hands-on experience building and deriving insights from machine learning models using R, Python, and Azure Machine Learning. Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.

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Self Paced

Sharpen your design skills to deliver innovative applications in HTML5! Want to learn advanced HTML5 techniques? Discover the powerful Web features that will help you create great content and apps.

Average: 8.3 (4 votes)
Self Paced

Learn the R statistical programming language, the lingua franca of data science. R is rapidly becoming the leading language in data science and statistics. Today, the R programming language is the tool of choice for data scientists in every industry and field. Whether you are a full-time number cruncher, or just the occasional data analyst, R will suit your needs.

Average: 6.5 (6 votes)
Self Paced

Traverse the data analysis pipeline using advanced visualizations in Python, and make machine learning start working for you.

Average: 9.1 (7 votes)

Self Paced

Explore theory and practice, and work with tools like R, Python, and Azure Machine Learning to solve advanced data science problems. In this data science course, you will explore the theory and practice of select advanced methods commonly used in data science.

Average: 4.5 (2 votes)
Self Paced

Learn how to use Microsoft Project Portfolio Management (PPM) to successfully manage and align project portfolios with your business needs. Do you have a portfolio of projects to manage? Are you trying to optimize resource capacity planning across projects? Do you wish to drive alignment of your project portfolio with the business strategy?

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Learn the fundamentals of programming with R, from reading and writing data to customizing visualizations and performing predictive analysis. In this computer science course from Microsoft, developed in collaboration with the Technical University of Denmark (DTU), get the knowledge and skills you need to use R, the statistical programming language for data scientists, in the field of your choice.

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Take your Angular programming skills to the next level as you learn about the full range of advanced features available for programming in Angular. Want to start implementing some of the more advanced features of Angular, but looking for help to get you started? In this advanced angularJS course, you’ll learn how to implement a web framework as you work your way through a series of tutorial-style labs that make learning easy.

Average: 8.5 (2 votes)
Self Paced

From querying and modifying data in SQL Server or Azure SQL to programming with Transact-SQL, learn essential skills that employers need. Transact-SQL is an essential skill for data professionals and developers working with SQL databases. With this combination of expert instruction, demonstrations, and practical labs, step from your first SELECT statement through to implementing transactional programmatic logic.

Average: 7.5 (4 votes)

Self Paced

Learn how to build robust databases that use transactional functionality and can support simultaneous users. When a database is in use by an application, it needs to be built to withstand simultaneous use, or multiple actions that all need to be certain to happen together. In this computer science course, you'll learn about techniques to add this functionality to your database. You'll learn about transactions, isolation levels, and locking.

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