Explore theory and practice, and work with tools like R, Python, and Azure Machine Learning.
Learn how to use SSIS to build high performance integration solutions and ETL packages for data warehousing.
Get started on your journey to building Big Data solutions.
Get hands-on experience building and deriving insights from machine learning models using R, Python, and Azure Machine Learning.
Explore data visualization and exploration concepts with experts and get an introduction to machine learning.
Learn everything you need to know to develop a data layer for your applications, including Entity Framework and Lambda basics.
Gain a solid understanding of statistics and basic probability, using Excel, and build on your data analysis and data science foundation.
Learn how to use Spark in Microsoft Azure HDInsight to create predictive analytics and machine learning solutions.
Learn how to use Microsoft R Server to analyze large datasets using R, one of the most powerful programming languages.
Learn the R statistical programming language, the lingua franca of data science in this hands-on course.
Go from conceptual to practical, as you build your data modeling foundation, explore data and data design concepts -- before you begin sourcing, preparin...
From querying and modifying data in SQL Server or Azure SQL to programming with Transact-SQL, learn essential skills that employers need.
Learn the basics of Excel, one of the most popular data analysis tools, to help visualize and gain insights from your data.
Learn to create mobile reports, paginated reports, and KPIs using business data with SQL Server Reporting Services (SSRS).
Develop your skills with Excel.
Learn how to design, develop, and manage a multidimensional data model (a.k.a. cube) with SQL Server 2016 Analysis Services.
Learn how to deliver greater impact with analytics by integrating the art and science of data storytelling into your work.
Traverse the data analysis pipeline using advanced visualizations in Python, and make machine learning start working for you.
Learn how to build predictive solutions for big data using Microsoft Azure Machine Learning.
Learn the fundamentals of NoSQL and explore several non-relational data storage options in Microsoft Azure.
Get started on your Data Science journey.
Analytics and AI are powerful tools that have real-word outcomes. Learn how to apply practical, ethical, and legal constructs and scenarios so that you c...
The ability to analyze data with Python is critical in data science. Learn the basics, and move on to create stunning visualizations.
Learn how to use Hadoop technologies in Microsoft Azure HDInsight to process big data in this five week, hands-on course.
Learn how to design, build, load, and operate a relational data warehouse to support business intelligence (BI) and advanced analytics.
Learn effective strategies and methods for interpreting analytics and communicating insights to business audiences.
Learn the fundamentals of programming with R for data science.
Learn Power BI, a powerful cloud-based service that helps data scientists visualize and share insights from their data.