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Microsoft is the best way to get access to the latest apps and features that help you stay productive, protected, and connected. And I know our customers feel it too. After quickly moving to remote and hybrid work models this spring, organizations are now seeking sustainable ways to help people collaborate, be productive, and prioritize their wellbeing.
Today, at the Microsoft Ignite conference in Orlando, Florida, we announced new Microsoft innovations. Announcing the next generation of Microsoft Project—empowering teams to work the way they want while enabling organizations to get the results they need. With agile in Project, you can choose the methodology that makes sense for your project, while integration with Planner lets you connect Project tasks to a Planner plan.
Today, Microsoft Mechanics takes a deeper look at Microsoft Planner—a new experience in Office to organize work, manage and assign tasks and collaborate within your teams. The Project Portfolio Dashboard apps announced last fall are now available in the Apple and Office app stores! We have made a lot of improvements to the Office modern authentication public preview program recently. We are excited to announce availability of Project Project delivers on some of the most requested capabilities: Resource Engagements and Resource Capacity Planning.
Supporting these key capabilities are enhancements such as new Resource Plans, Capacity heat maps and a brand new experience for resource managers. Skip to main content. News Microsoft Personal and family. Published October 1, News Microsoft Enterprise. Published October 29, Events Microsoft Enterprise. Published May 19, Published November 4, Published September 25, Published October 30, Tips and guides Microsoft Enterprise.
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February 11th, 0 0. In this post, Senior App Dev Manager Pete Fuenfhausen breaks down the concept of Data Sciences and provides a walk through of free training track to get oriented with the technologies Microsoft offers in this space. My search on Bing yielded 4.
So where to begin? Microsoft offers an extremely informative, free training track on data science called the Microsoft Professional Program — Data Science Track. All of the course tracks lead to a Microsoft Professional Program certification which you can add to your resume and share online. The Data Science track consists of 10 required courses of some hours per courses leading to 8 distinct skills. The courses are laid out in a learning path that makes it easy to progress through the content.
The track starts with a Data Science Orientation course that sets the stage for the remaining courses. The orientation course is a great way to get a high-level over view of the discipline of data science with some practical examples and exercises to help you relate to your application development work:.
The track continues with course on querying data with Transact-SQL. For data scientists, the first order of business is getting the data and that is the focus of this course. The course includes an in-depth treatment of querying SQL databases with lots of hand-on exercises.
Continuing the logical progression of the data science chain, the next course addresses the topics of analyzing and visualizing data. In this case, two options are offered, one course on using Excel for analysis and visualization, and the other focusing on Power BI. Statistics and probability are crucial skills for data scientists, so the next course in the track focuses on those topics, using Excel as the vehicle for analyzing statistics of datasets and probability.
The next course in the track explores the use of code to analyze large datasets. The course offers options to focus on either the R language or Python. This course is where developers can really dig their teeth into data science.
The latter half of the Data Science track is a build-up to a final project that showcases all of the knowledge and skills you have acquired. This build-up starts with a course that brings together all the essential topics of data science, from statistical analysis, data cleansing and transformation, and data visualization with R, Python, to Microsoft Azure Machine Learning.
Machine Learning is a topic that is becoming critical for application developers. The next course in the data science track focuses on this important topic, using Azure Machine Learning as the driving technology. In this course, you get hand-on experience building, evaluating, and optimizing machine learning models in Azure Machine Learning Studio.
You will learn to answer key data science questions like classification, regression, clustering, and recommendation. The next topic in the data science track is also of great interest to developers: Using code to manipulate and model data. Two options are offered for using the R language or Python. You will learn to read and write data from a variety of sources, and work with that data programmatically to summarize, transform, and visualize the data. All of these topics should generate a healthy interest for developers.
You will take a provided dataset and develop a machine learning solution. The track and others in the Microsoft Professional program is designed for busy professionals. The courses are broken into minute short videos with interspersed knowledge check and practical exercises. You can easily start the courses and progress at your own pace.
The courses are all free to audit, or you can elect to pay for a course certificate that can be shared online. So, you have no excuse not to sharpen your data science skills and get started on the Microsoft Professional Program.
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