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Microsoft SQL Server 2019 – Data Analysis

  • Caption
  • Certificate
  • Dedicated Tutors
  • 77 Videos
  • 13 Hours
  • 75 Test Questions

Course Description

Microsoft SQL Server 2019 – Data Analysis

The Microsoft SQL Server 2019 – Data Analysis course is designed for data professionals who want to deepen their understanding of data analysis using SQL Server 2019. This course covers a range of techniques and tools for analyzing data, from querying and transforming data to building complex reports and visualizations. Participants will learn how to leverage SQL Server’s powerful analytical features to extract meaningful insights and support data-driven decision-making.

Key Features:

  • Advanced Querying with T-SQL: Learn advanced T-SQL techniques for querying and manipulating data, including complex joins, subqueries, and window functions to perform sophisticated data analysis.
  • Data Transformation and ETL: Explore data transformation processes, including Extract, Transform, Load (ETL) techniques using SQL Server Integration Services (SSIS) to prepare data for analysis.
  • Data Warehousing and OLAP: Understand the principles of data warehousing and Online Analytical Processing (OLAP), including designing and querying data warehouses and cubes for multidimensional analysis.
  • Business Intelligence Tools: Gain proficiency in using SQL Server Reporting Services (SSRS) to create, deploy, and manage reports, and SQL Server Analysis Services (SSAS) for building and analyzing multidimensional and tabular data models.
  • Data Visualization: Learn how to create effective data visualizations using SQL Server and integrate with Power BI to build interactive dashboards and reports that provide actionable insights.
  • Performance Tuning: Discover techniques for optimizing query performance and improving the efficiency of data analysis processes, including indexing strategies and query optimization.
  • Data Exploration and Insights: Develop skills in data exploration and discovery, using SQL Server’s analytical functions and features to uncover trends, patterns, and correlations in data.
  • Integration with External Data Sources: Understand how to integrate SQL Server with external data sources and systems to enhance data analysis and provide a comprehensive view of business data.

This course provides a thorough understanding of data analysis using SQL Server 2019, equipping professionals with the skills to leverage SQL Server’s full suite of analytical tools to drive data-informed decision-making and business strategy.

Proudly Display Your Achievement

Upon completion of your training, you will receive a personalized certificate of completion to help validate your new skills.

Sample certificate of completion

Step-by-Step Courses List

Microsoft SQL Server 2019 - Introduction to Data Analysis Course Content

Module 1

  • - Query Tools

Module 2

  • - Introduction to T-SQL Querying

Module 3

  • - Basic SELECT Queries

Module 4

  • - Querying Multiple Tables

Module 5

  • - Sorting and Filtering Data

Module 6

  • - Introduction to Business Intelligence and Data Modeling

Module 7

  • - Prepare Data

Module 8

  • - Clean, Transform, and Load Data

Module 9

  • - Design a Data Model

Module 10

  • - Create Model Calculations using DAX

Module 11

  • - Create Reports

Module 12

  • - Create Dashboards

Module 13

  • - Create Paginated Reports

Module 14

  • - Perform Advanced Analytics

Module 15

  • - Create and Manage Workspaces

Module 16

  • - Create Power App Visuals

Module 17

  • - Analysis Services and Power BI

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What is Included

  • Professional Certification

    Exam-focused prep and certification guidance aligned to your learning path.

  • ATS-Optimized Resume

    Build a resume that highlights your new skills for recruiters and hiring systems.

  • Mock Interviews

    Practice real interview scenarios with structured feedback from career coaches.

  • LinkedIn Optimization

    Polish your profile so employers discover your credentials and achievements.

  • Job Placement Support

    Career guidance and placement resources on eligible programs.

  • Practical Labs

    Hands-on labs and exercises to reinforce concepts from your courses.