The main purpose of the course is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use of machine learning with big data tools such as HDInsight and R Services.
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M40516 – Intelligent Analytics Microsoft Cloud Workshop
In this workshop students will learn real-time analytics without IoT. Students will enable intelligent conversation in a machine learning-enabled, real-time chat pipeline and apply analytics to visualize customer sentiment in real-time for hospitals to allow guests to chat with one another and to communicate directly with the concierge.
M55144 – SQL Server Performance Tuning and Optimization
In this course, students will learn practical tuning and optimization techniques for SQL Server 2014 that include indexing and statistics strategies, transaction log operations, tempdb and data file configuration, transaction and isolation levels, locking and blocking, and the new In-Memory OLTP engine. Students will learn how to create baselines and benchmark SQL Server performance as well as analyze and fix workload for performance issues.
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M6998 – Power BI Fundamentals for End Users-2016
This course is designed to provide students with a fundamental understanding of the capabilities of Power BI. Students will discover how to quickly gather, cleanse and transform data with just a few clicks. They will also learn that to enhance results by integrating disparate data sources and add simple calculations using DAX functions and queries. Students will create visualizations and incorporate them into dashboards that can provide up to the minute reporting. At the end of this course, the students will have a solid understanding of the skills required to use Power BI.
PPPQ16: Power Pivot and Power Query for Excel 2016
This course teaches students the add-ins that expand and combine the features and capabilities of Excel. Students will learn PowerPivot, Power Query, Power View, 3D maps and their features. Students will also learn how to import, manipulate and work with large amounts of data from a variety of data sources both inside and outside Excel. Students will learn the techniques for manipulating querying data, the structure of DAX functions, ways to distribute and visualize data using Pivot Charts, Slicers, Sparklines, Timelines, Power View and 3D maps.