SQL Data Analysis With Microsoft SQL Server

This sql data analysis course will provide a comprehensive overview of the job duties and functions that data analysts need to be familiar with, such as techniques and approaches for creating models, displaying visualizations, and evaluating information through Power BI. Besides that, you’ll also get to learn how to access various types of data sources – both relational and non-relational – to process them properly

With internship




Without internship



this course includes

13 Training Hours

77 On-demand Videos

Closed Captions

17 Topics

75 Prep Questions

Certificate of Completion

What you’ll


Query Tools


Introduction to T-SQL Querying:


Basic SELECT Queries


Querying Multiple Tables


Sorting and Filtering Data


Introduction to Business Intelligence and Data Modeling


Data Preparation & Modeling




Reporting & Dashboards


Advanced Analytics


Workspaces, Power App Visuals & Analysis Services

Harnessing the power of SQL data analysis for in-depth data analytics is not just a skill but a necessity

Our comprehensive SQL Data Analysis course introduces you to the expansive world of data analysis using SQL, addressing pivotal questions like “What is SQL used for in data analysis?” and “How can one leverage SQL for meticulous data scrutiny?” Data analysis, at its core, empowers businesses to make informed decisions, predict trends, and drive operational efficiency. With our meticulously designed course, you will not only learn the intricacies of SQL but also understand its practical application in the realm of data analysis. From writing basic SELECT statements to executing complex SQL queries for data analysis, this course ensures a holistic and enriched learning experience.”


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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Your Questions, Answered

What will I learn in the Microsoft SQL Data Analysis course?

This course provides a comprehensive overview of the job duties and functions that data analysts need to be familiar with. You’ll learn techniques for creating models, displaying visualizations, and evaluating information using Power BI. You’ll also get to learn how to access and process data from various types of data sources, both relational and non-relational. Besides, the course covers how to implement security standards and policies across the Power BI spectrum, including datasets and groups​.

How is the course content delivered?

The course comprises 13 hours of online training, 77 videos, 17 topics, and 75 practice questions. You’ll learn through on-demand content, meaning you can go at your own pace.

Can I start learning right away?

Absolutely! The course offers instant access, meaning you can get started with your learning journey immediately after signing up.

What’s the outcome of completing this course?

On completing the course, you should become familiar with Power BI and other data analysis tools. Plus, you’ll gain hands-on experience by working on projects. As a bonus, this course also preps you for the Microsoft Certified: Data Analyst certification, which can be obtained by passing two exams: DA-100 and DA-101. This certification can bolster your professional profile in the data analysis field.