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OverviewFull Product DetailsAuthor: Marek Chmel , Vladimír MužnýPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited ISBN: 9781788996341ISBN 10: 1788996348 Pages: 506 Publication Date: 29 November 2018 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsTable of Contents Data Science Overview SQL Server 2017 as a Data Science Platform Data Sources for Analytics Data Transforming and Cleaning with T-SQL Data Exploration and Statistics with T-SQL Custom Aggregations on SQL Server Data Visualization Data Transformations with Other Tools Predictive Model Training and Evaluation Making Predictions Getting It All Together - A Real-World Example Next Steps with Data Science and SQLReviewsAuthor InformationMarek Chmel is an IT consultant and trainer with more than 10 years' experience. He is a frequent speaker, focusing on Microsoft SQL Server, Azure, and security topics. Marek writes for Microsoft's TechnetCZSK blog and has been an MVP: Data Platform since 2012. He has earned numerous certifications, including MCSE: Data Management and Analytics, EC Council Certified Ethical Hacker, and several eLearnSecurity certifications. Marek earned his MSc (business and informatics) degree from Nottingham Trent University. He started his career as a trainer for Microsoft server courses. Later, he joined AT&T, as a principal database administrator specializing in MSSQL Server, Data Platform, and Machine Learning. Vladimír Mužný has been a freelance IT consultant, developer, and Microsoft data platform trainer since 2000. He is also a frequent speaker on local events in Czech Republic and Slovakia. His most favorite topics are not only MS SQL Server, but also data integration, data science or NoSQL topics. During his career, Vladimír has earned certifications such as MCSE: Data Management and Analytics, MVP: Data Platform and MCT. Nowadays, Vladimír is a data science enthusiast and works on data migration/integration projects also with output to machine learning models. Tab Content 6Author Website:Countries AvailableAll regions |