Earning an MCSA: Machine Learning demonstrates knowledge relevant to Machine Learning, Data Scientists and Data Analysts positions, particularly those who process and analyze large data sets using R and use Azure cloud services to build and deploy intelligent solutions. It is the first step on your path to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE).
Earning an MCSA: BI Reporting demonstrates knowledge relevant to data analysis, data visualization, modeling, dashboards, and direct connectivity to data sources in Excel and Power BI. It is the first step on your path to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE).
Earning an MCSA: Data Engineering with Azure demonstrates knowledge relevant to the design and building of analytics and operational solutions on Azure as well as the implementation of big data engineering workflows on HDInsight. It is the first step on your path to becoming a Data Management and Analytics Microsoft Certified Solutions Expert (MCSE).
This five-day course will provide students with the key knowledge required to deploy and configure Microsoft Azure Stack.
The main purpose of the course is to give students the ability to use Microsoft R Server to create and run an analysis on a large dataset, and show how to utilize it in Big Data environments, such as a Hadoop or Spark cluster, or a SQL Server database.
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.
This two-day instructor-led course is aimed at database professionals looking to update their skills to cover SQL Server 2017.
The main purpose of the course is to give students the ability plan and implement big data workflows on HDInsight.
This five-day instructor-led course describes how to process Big Data using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data Warehouse and Azure Data Factory. The course also explains how to include custom functions, and integrate Python and R.
This six-day instructor-led course teaches students how to design and implement a BI infrastructure for enterprise data models and reports. The course discusses design, installation, and operations of a BI platform, including Microsoft SQL Server Analysis Services, SQL Server Reporting Services, and Microsoft SharePoint Server. This course will also cover how to empower information workers through self-service analytics and reporting. Students will learn how to use Microsoft SQL Server Reporting Services, and Microsoft Excel to deliver a self-service BI solution, and how to use Microsoft Windows Azure HDInsight to incorporate Big Data analysis into a BI scenario.