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Hands-On Data Science with SQL Server 2017: Perform end-to-end data analysis to gain efficient data insight
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Hands-On Data Science with SQL Server 2017: Perform end-to-end data analysis to gain efficient data insight
Marek Chmel and Vladimir Muzny are experienced IT consultants and trainers, experts in Microsoft SQL Server, Azure, security, data integration, and more. They have numerous certifications, MVP awards, and are frequent speakers at events.
Hands-On Data Science with SQL Server 2017: Perform end-to-end data analysis to gain efficient data insight
物品 #: 15242336

Hands-On Data Science with SQL Server 2017: Perform end-to-end data analysis to gain efficient data insight

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物品 #: 15242336

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Marek Chmel and Vladimir Muzny are experienced IT consultants and trainers, experts in Microsoft SQL Server, Azure, security, data integration, and more. They have numerous certifications, MVP awards, and are frequent speakers at events.
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What Stands Out

Comprehensive Learning
Offers a complete guide for mastering SQL Server 2017, covering essential data analysis techniques tailored for all skill levels, ensuring readers can effectively derive insights from data.
Practical Applications
Focuses on hands-on projects that mirror real-world scenarios, allowing users to practice and apply data analysis skills effectively, enhancing retention and understanding.
Expert Guidance
Written by industry professionals, providing insider tips and best practices that facilitate learning complex concepts and methodologies, ensuring high-quality education for aspiring data scientists.

產品詳情

Shop Hands-On Data Science with SQL Server 2017: Perform end-to-end data analysis to gain efficient data insight online at a best price in 香港. 1788996348
  • Written by experienced IT consultants and trainers Marek Chmel and Vladimír Muzny
  • Covers end-to-end data analysis using SQL Server 2017 for efficient data insight
  • Authors are renowned speakers focusing on Microsoft SQL Server, Azure, and security topics
  • Marek Chmel holds certifications including MCSE: Data Management and Analytics, and EC Council Certified Ethical Hacker
  • Vladimír Muzny specializes in MS SQL Server, data integration, data science, NoSQL, and holds certifications such as MCSE: Data Management and Analytics and MVP: Data Platform
  • The book provides practical insights based on the authors' extensive experience as IT consultants and data platform trainers
Publisher Packt Publishing
Publication date November 29, 2018
Language English
Print length 506 pages
ISBN-10 1788996348
ISBN-13 978-1788996341
Item Weight 1.9 pounds (860 grams)
Dimensions 7.5 x 1.14 x 9.25 inches (19.1 x 2.9 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Analysts

    Ideal for data analysts looking to effectively utilize SQL Server 2017 for comprehensive data analysis tasks.

  • Business Intelligence Professionals

    Perfect for BI professionals seeking to leverage SQL Server for data insights and reporting capabilities.

  • Students and Learners

    Great for students aiming to build a foundational understanding of data science concepts using SQL Server.

Not Suitable For
  • Beginner Programmers

    Not suitable for those with no programming experience, as the book assumes some prior knowledge of data science.

產品敘述

Hands-On Data Science with SQL Server 2017: Perform end-to-end data analysis to gain efficient data insight

About This Item

Introducing "Hands-On Data Science with SQL Server 2017: Perform end-to-end data analysis to gain efficient data insight" – a comprehensive guide for aspiring data scientists and SQL Server users. Authored by Marek Chmel, an experienced IT consultant and trainer, and Vladimír Muzny, a freelance IT consultant and Microsoft data platform expert, this book is packed with practical insights and step-by-step instructions to help you master data analysis using SQL Server 2017. Whether you're a beginner or an experienced professional, this book is tailored to meet your learning needs.

With a focus on Microsoft SQL Server, Azure, and security topics, Marek Chmel brings his expertise as a frequent speaker and a Microsoft MVP: Data Platform since 2012. He holds various valuable certifications, including MCSE: Data Management and Analytics and EC Council Certified Ethical Hacker. Vladimír Muzny, on the other hand, brings over two decades of experience as a freelance IT consultant and developer. As a Microsoft data platform trainer, he has earned certifications like MCSE: Data Management and Analytics, MVP: Data Platform, and MCT.

Vladimír's expertise lies in data integration, data science, and NoSQL topics. With "Hands-On Data Science with SQL Server 2017," you'll gain a comprehensive understanding of data analysis, data science, data analytics, machine learning, and predictive analytics using SQL Server 2017. This book takes you through the entire data analysis process, from data acquisition and cleaning to visualization and modeling. By following the practical examples and exercises provided, you'll enhance your skills in performing end-to-end data analysis, gaining efficient data insight, and leveraging the power of SQL Server 2017.

Whether you're interested in exploring data science as a career or simply want to enhance your SQL Server skills, this book is your ultimate guide. Stay ahead of the curve by mastering the latest tools and techniques in data science. Purchase "Hands-On Data Science with SQL Server 2017" today and revolutionize the way you analyze and interpret data. Gain the competitive edge in a data-driven world.

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優點

  • Comprehensive learning resource
  • Hands-on practical examples
  • Clear explanations and guidance
  • Suitable for beginners and experts
  • Up-to-date with SQL Server 2017 features

缺點

  • Some sections could be more detailed.

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HKD 538

現在訂購，約可在下列時間收貨： 星期六, 十月 24

QTY:

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特色和優勢

  • Experienced IT consultants and trainers
  • Experts in Microsoft SQL Server and Azure
  • Certified in various areas including MCSE: Data Management and Analytics and Certified Ethical Hacker
  • Frequent speakers at events
  • Specializes in data integration and NoSQL topics
  • Data science enthusiasts

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