Microsoft

 

 


 

We live in a mobile-first and cloud-first world. Computing is ubiquitous, and experiences span devices and exhibit ambient intelligence. Billions of sensors, screens and devices – in conference rooms, living rooms, cities, cars, phones, PCs – are forming a vast network and streams of data that simply disappear into the background of our lives. This computing power will digitize nearly everything around us, and will derive insights from all of the data being generated by interactions among people and between people and machines. We are moving from a world where computing power was scarce to a place where it now is almost limitless, and where the true scarce commodity is increasingly human attention.

In this new connected world, we believe technology creates opportunity, and our edX courses are designed to provide you with the core development skills needed to be successful in the cloud-first, mobile-first world.




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Feb 13th 2017

Learn how to successfully plan and design your own projects using Microsoft Project, the go to app for project managers. Want to master project management? Have a project to manage but unsure where to begin? With over 20 million users, Microsoft Project is the go to app for project managers. In this project management course, you will learn industry standard best practices for project management using Microsoft Project, the cloud-delivered desktop client. You will learn how to do deep scheduling, resource capacity planning, progress tracking and status reporting.

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Feb 13th 2017

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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Feb 6th 2017

Learn the key points required to tune and optimize the performance of your SQL based applications. Maximizing performance of your SQL based applications ranges from optimization of your database, to various tools and techniques for monitoring and tuning your environments. In this course you’ll learn techniques to run highly performant applications that use SQL Server.

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Jan 30th 2017

Learn how to plan and configure the infrastructure requirements for SharePoint Server 2016. In Microsoft SharePoint 2016 Infrastructure, you will learn how to plan and configure a SharePoint on premise solution. You will learn about the necessary hardware and software requirements, the overall methodology to SharePoint Architecture, as well as how to deploy and configure the SharePoint environment.

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Jan 24th 2017

Learn why ambitious teaching and learning may be the key to global educational improvement and how to put it into practice. Want to explore ambitious teaching and how collaboration between students and teachers can lead to deeper learning and the development of 21st-century skills? This course is developed in partnership with Microsoft as part of the Microsoft K-12 Education Leadership initiative, which aims to help K-12 school leaders drive the pursuit of ambitious instruction in classrooms.

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Jan 22nd 2017

Learn how to use Azure Data Lake technologies to store and process big data in the cloud. Want to store and process data at scale? This data analysis course teaches you how to apply the power of the Azure cloud to big data using Azure Data Lake technologies.

Average: 4 (4 votes)
Jan 17th 2017

Become a change leader and take the first step in launching instructional improvement initiatives in schools to improve teaching and learning. Every great teacher and every great school constantly work towards creating better learning conditions for students. Just as we hope our students become lifelong learners, we as educators should be constantly learning and improving.

Average: 10 (1 vote)
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: 8.5 (2 votes)
Self Paced

Explore data visualization and exploration concepts with experts from MIT and Microsoft, and get an introduction to machine learning. Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles with experts from MIT and Microsoft. In this data science course, you will learn key concepts in data acquisition, preparation, exploration, and visualization. Plus, look at examples of how to build a cloud data science solution using Azure Machine Learning, R, and Python.

Average: 8 (1 vote)
Self Paced

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

Average: 9 (3 votes)
Self-Paced

Learn how to use Hadoop technologies like HBase, Storm, and Apache Spark in Microsoft Azure HDInsight to create real-time analytical solutions.

Average: 7.3 (3 votes)
Self-Paced

Learn how to create intelligent apps using Microsoft Azure machine learning APIs. Learn how to create intelligent apps using Microsoft Azure machine learning APIs.

Average: 7 (2 votes)
Self Paced

Learn how to use Hadoop technologies in Microsoft Azure HDInsight to process big data in this five week, hands-on course.

Average: 2 (1 vote)
Self Paced

Learn Power BI, a powerful cloud-based service that helps data scientists visualize and share insights from their organizations’ data. Power BI is quickly gaining popularity among professionals in data science as a cloud-based service that helps them easily visualize and share insights from their organizations’ data.

Average: 6.7 (3 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: 6.6 (5 votes)
Self Paced

Explore data analysis and visualization in Excel, the cloud benefits of Power BI, and Power Pivot, pivot tables, and tools previously known as Power Query. Microsoft Excel is one of the most widely used solutions for analyzing and visualizing data. Beginning with Excel 2010, new tools were introduced to enable the analysis of more data, resulting in less time spent creating and maintaining the solutions and enabling a better understanding of what the data means. This better understanding is facilitated by improved visualizations and more sophisticated business logics.
Do you want to take your advanced Excel skills to the next level? Are you exploring new ways to get and transform your data and create visualization?

Average: 4.5 (16 votes)
Self-Paced

Learn how to use SSIS to build high performance integration solutions and ETL packages for data warehousing.

Average: 5.6 (5 votes)
Self Paced

Learn how to use Hadoop technologies in Microsoft Azure HDInsight to create predictive analytics and machine learning solutions. 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. You will learn how to work with Scala or Python to cleanse and transform data, build machine learning models with Spark MLlib (the machine learning library in Spark), and create real-time machine learning solutions using Spark Streaming. Plus, find out how to use R Server on Spark to work with data at scale in the R language.

Average: 7 (3 votes)
Self-Paced

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.

No votes yet
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)

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