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February 18, 2025

SQL Data Analysis With Microsoft SQL Server 2019

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This comprehensive course on Microsoft SQL Server 2019 provides an in-depth introduction to data analysis using SQL Server’s robust capabilities. You’ll start with the basics of querying tools and T-SQL querying before progressing to more complex topics like querying multiple tables, sorting and filtering data, and business intelligence and data modeling. Each module is designed to equip you with the skills needed to perform sophisticated data analysis and make data-driven decisions.

Throughout the course, you’ll explore key tools and technologies, including Microsoft Management Studio, T-SQL, Power BI, and Analysis Services. You’ll gain practical experience in data transformation, data modeling, and creating reports and dashboards. By the end of this course, you will be proficient in using SQL Server for data analysis, and you’ll be prepared to handle real-world data challenges efficiently.

What Will I Learn?

  • How to use SQL Server Management Studio and command-line query tools
  • Basic to advanced T-SQL querying techniques
  • Methods to write and optimize SELECT queries
  • Understanding and applying different types of joins
  • Sorting and filtering data efficiently
  • Introduction to business intelligence and data modeling
  • Preparing, cleaning, and transforming data
  • Designing and managing data models
  • Creating reports and dashboards with Power BI
  • Performing advanced analytics
  • Creating and managing workspaces and Power Apps visuals
£59.99
Durations: 14 hours 8 minutes
Lectures: 0
Students: Max 100
Level: All Levels
Language:
Certificate:

Material Includes

  • 77 On-demand Videos
  • Closed Captions
  • 17 Topics
  • 75 Prep Questions
  • Certificate of Completion

Audience

  • Data analysts looking to upgrade their SQL Server skills
  • IT professionals aiming to expand their data management capabilities
  • Business intelligence developers seeking to enhance their reporting skills
  • Students and beginners interested in learning SQL Server and data analysis
  • Professionals transitioning to data-focused roles