SQL Data Analysis With Microsoft SQL Server
Learn essential SQL Server data analysis skills to empower data analysts and BI professionals in extracting insights, creating reports, and supporting data-driven decisions.
If you’re tasked with extracting insights from complex data sets within your organization, this course will give you the practical skills to do so efficiently using Microsoft SQL Server 2019. Whether you’re working with large data repositories or need to generate reports that inform decision-making, mastering SQL Server’s data analysis tools is essential. After completing this training, you’ll be able to write optimized queries, transform raw data into meaningful information, and create visual dashboards that communicate your findings clearly.
This course covers core topics such as T-SQL querying, working with multiple tables, data sorting and filtering, and data transformation techniques. You’ll also explore business intelligence concepts, data modeling practices, and how to leverage Power BI to build compelling reports. Additionally, you’ll learn how to manage data models and perform advanced analytics, equipping you with a comprehensive understanding of SQL Server’s data analysis capabilities.
What sets this course apart is its focus on hands-on application. You’ll not only learn the theory behind data analysis but also practice real-world tasks like designing efficient queries, transforming data sets, and building interactive dashboards. This practical approach ensures you’re prepared to handle actual data challenges in your workplace from day one.
What You Will Learn
- You will learn how to navigate and utilize SQL Server Management Studio and command-line tools for data analysis tasks.
- You will develop skills to write and optimize complex T-SQL queries for retrieving specific data efficiently.
- You will understand how to perform different types of joins to combine data from multiple tables accurately.
- You will be able to sort and filter data sets to isolate relevant information quickly.
- You will gain knowledge of data transformation techniques for cleaning and preparing raw data for analysis.
- You will learn the fundamentals of business intelligence and how to model data for reporting purposes.
- You will acquire the ability to create detailed reports and dashboards using Power BI, translating data into visual insights.
- You will explore advanced analytics techniques to uncover deeper patterns and trends within your data.
- You will understand how to manage and organize workspaces and Power Apps visuals for collaborative data projects.
Who This Course Is For
This course is ideal for data analysts seeking to sharpen their SQL Server skills, IT professionals aiming to expand their data management expertise, business intelligence developers focusing on reporting, students interested in data analysis, or professionals transitioning into data-driven roles. Prior experience with basic SQL or database concepts is helpful but not required; a strong desire to learn and work with data is essential.
Why These Skills Matter
While this course does not lead directly to a certification, mastering these data analysis skills significantly enhances your value in the job market. Organizations rely heavily on SQL Server for managing large data sets, and professionals who can efficiently query, model, and visualize data are in high demand. These competencies enable you to contribute directly to strategic decision-making, automate reporting processes, and support data-driven initiatives.
Understanding SQL Server’s data analysis tools positions you for roles such as data analyst, BI developer, or data engineer. You will be better equipped to interpret complex data sets, answer business questions quickly, and produce actionable insights. Developing expertise in data transformation, SQL querying, and reporting gives you a competitive edge in a job market that increasingly prioritizes data literacy.
Module 1 – Query Tools
- 1.1 Course Introduction
- 1.2 Intro to Management Studio
- 1.3 Intro to command-line query tools
Module 2 – Introduction to T-SQL Querying
- 2.1 Introducing T-SQL
- 2.2 Understanding Sets
- 2.3 Understanding the Logical Order of Operations in SELECT statements
Module 3 – Basic SELECT Queries
- 3.1 Writing Simple SELECT Statements
- 3.2 Eliminate Duplicates with DISTINCT
- 3.3 Using Column and Table Aliases
- 3.4 Write Simple CASE Expressions
Module 4 – Querying Multiple Tables
- 4.1 Understanding Joins
- 4.2 Querying with Inner Joins
- 4.3 Querying with Outer Joins
- 4.4 Querying with Cross Joins and Self Joins
Module 5 – Sorting and Filtering Data
- 5.1 Sorting Data
- 5.2 Filtering Data with Predicates
- 5.3 Filtering with the TOP and OFFSET-FETCH
- 5.4 Working with Unknown Values
Module 6 – Introduction to Business Intelligence and Data Modeling
- 6.1 Introduction to Business Intelligence
- 6.2 The Microsoft Business Intelligence Platform
- 6.3 Exploring a Data Warehouse
- 6.4 Exploring a Data Model
Module 7 – Prepare Data
- 7.1 Introduction to Power BI
- 7.2 Get data from various data sources
- 7.3 Preview source data
Module 8 – Clean, Transform, and Load Data
- 8.1 Data Transformation Intro
- 8.2 Transformation Example 1
- 8.3 Transformation Example 2
- 8.4 Transformation Example 3
- 8.5 Transformation Example 4
- 8.6 Transformation Example 5
- 8.7 Transformation Example 6
Module 9 – Design a Data Model
- 9.1 Introduction to Data Modeling
- 9.2 Model Relationships
- 9.3 Table Configuration
- 9.4 Model interface
- 9.5 Quick Measures
- 9.6 Many-to-many relationships
- 9.7 Row-level security
Module 10 – Create Model Calculations using DAX
- 10.1 DAX context
- 10.2 Calculated Tables
- 10.3 Calculated Columns
- 10.4 Managing Date Tables
- 10.5 Measures
- 10.6 Filter Manipulation
- 10.7 Time Intelligence
Module 11 – Create Reports
- 11.1 Basic Report Creation
- 11.2 Example Page 1
- 11.3 Example Page 2
- 11.4 Example Page 3
- 11.5 Report Publishing
- 11.6 Enhancing Reports
- 11.7 Drill-Through Pages
- 11.8 Conditional Formatting
- 11.9 Buttons and Bookmarks
Module 12 – Create Dashboards
- 12.1 Dashboard Basics
- 12.2 Real Time Dashboards
- 12.3 Enhanced Dashboards
Module 13 – Create Paginated Reports
- 13.1 Introduction to Power BI Report Builder
- 13.2 Report Layouts
- 13.3 Report Data
- 13.4 Report Tables
Module 14 – Perform Advanced Analytics
- 14.1 Introduction to Advanced Analytics
- 14.2 Scatter Chart
- 14.3 Forecast
- 14.4 Decomposition Tree
- 14.5 Key Influencers
Module 15 – Create and Manage Workspaces
- 15.1 Introduction to Workspaces
- 15.2 Working with Workspaces and the Portal
Module 16 – Create Power App Visuals
- 16.1 Introduction to Power Apps Visual
- 16.2 Creating the App
- 16.3 Basic Power Apps Concepts
- 16.4 Refreshing the Report
Module 17 – Analysis Services and Power BI
- 17.1 Introduction to Analysis Services
- 17.2 Connecting with Multidimensional Models
- 17.3 Premium Workspaces and Analysis Services
- 17.4 Course Wrap Up
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Frequently Asked Questions.
What is the scope of the Microsoft SQL Server Data Analysis course and what key topics are covered?
This course provides a comprehensive introduction to data analysis using Microsoft SQL Server 2019, focusing on practical skills essential for extracting insights from complex datasets. The scope includes mastering T-SQL querying, working with multiple tables, data sorting, filtering, and transformation techniques that are fundamental to effective data analysis.
Key topics covered encompass business intelligence concepts, data modeling practices, and the use of Power BI for creating reports and dashboards. You will also learn how to manage data models, perform advanced analytics, and utilize SQL Server Management Studio and command-line tools. This blend of core concepts and hands-on application prepares you to handle real-world data challenges efficiently.
How does this course prepare me for a career as a data analyst or BI developer working with SQL Server?
This course equips aspiring data analysts and BI developers with practical skills in SQL Server 2019 that are directly applicable in professional environments. You’ll learn to write optimized T-SQL queries, perform data transformations, and build interactive dashboards using Power BI, which are critical competencies for generating actionable insights.
By mastering data modeling, reporting, and advanced analytics, you’ll enhance your ability to interpret data, support decision-making processes, and automate reporting workflows. These skills are highly valued in roles such as data analyst, BI developer, or data engineer, positioning you for opportunities in organizations that rely heavily on SQL Server for data management and analysis.
What are the key exam topics and skills covered in this SQL Data Analysis course for preparing with Microsoft SQL Server 2019?
While this course does not lead to an official certification, it covers essential skills aligned with industry standards for SQL Server data analysis. The core exam topics include writing and optimizing T-SQL queries, understanding joins and data relationships, data sorting and filtering, and data transformation techniques for cleaning raw data.
Additionally, you will learn how to model data for reporting, create visualizations using Power BI, and perform advanced analytics to uncover deeper patterns. These skills collectively prepare you to handle complex data analysis tasks, making you proficient in leveraging SQL Server 2019’s capabilities for business intelligence and data-driven decision-making.
What are some effective strategies for preparing for the SQL Server Data Analysis course and applying the skills in real-world scenarios?
Effective preparation involves familiarizing yourself with basic SQL concepts and gaining hands-on experience using SQL Server Management Studio and Power BI. Practicing writing queries, performing data joins, and creating simple reports will build a strong foundational understanding.
Applying these skills in real-world scenarios requires working on actual datasets relevant to your industry or interests. Focus on designing efficient queries, transforming raw data into meaningful information, and creating dashboards that communicate insights clearly. Engaging in projects or simulations that mimic workplace challenges will reinforce your learning and improve your confidence in handling complex data analysis tasks.
How do Microsoft SQL Server’s data analysis tools and Power BI integration enhance the reporting and visualization process?
Microsoft SQL Server’s data analysis tools, particularly T-SQL and data transformation capabilities, enable you to prepare and query large datasets efficiently. When integrated with Power BI, these tools allow for seamless creation of interactive reports and dashboards that are visually appealing and easy to interpret.
The combination of SQL Server’s robust data management features with Power BI’s visualization capabilities offers a powerful platform for translating raw data into actionable insights. This integration streamlines workflows, reduces manual effort, and enhances collaboration among teams by providing real-time, data-driven visualizations that support strategic decision-making.