Data Science with SQL Server (and Azure SQL Database)
This course teaches you how to start doing data science with Microsoft SQL Server (and Azure SQL Database) using the in-database Machine Learning Services (ML Services). During the course, you will learn about all stages of a real-life data science project, starting with business and data understanding, continuing with data overview and data preparation, and then switching to basic statistical analysis, followed by using more advanced algorithms, evaluating, and finally deploying the model in a SQL Server database. You will learn how to use languages that come with SQL Server, from Transact-SQL (T-SQL) to ML Services (in-database) with R and Python. Code examples are written in all three languages mentioned. You will also learn how to select the right algorithm for specific tasks and get a basic understanding of the mathematics behind each algorithm.
Link to the agenda and sample videos from the course
Length: 6 Hours and 33 Minutes
Dejan Sarka, MCT and Data Platform MVP, is an independent trainer and consultant that focuses on the development of database and business intelligence applications. Besides projects, he spends about half of the time on training and mentoring. He is the founder of the Slovenian SQL Server and .NET Users Group. Dejan Sarka is the main author or co-author of eighteen books about databases and SQL Server. Dejan Sarka has also developed many courses and seminars for Microsoft, SolidQ, and Pluralsight.
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