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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 – in order to process them properly.
Included In This Course
Included In This Course
13 Training Hours
77 On-demand Videos
Closed Captions
17 Topics
75 Prep Questions
Certificate of Completion
Course Description
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.”
What You Learn In This SQL Data Analysis Course?
Module 1 – Query Tools: Step into the foundational realm of SQL data analysis and immerse yourself in the core tools for data querying. This module provides a comprehensive hands-on introduction to Management Studio, allowing learners to seamlessly navigate the intricate world of SQL. By mastering command-line query tools, you’re not just learning techniques; you’re setting a robust foundation for advanced SQL data analysis.
Module 2 – Introduction to T-SQL Querying: Delve deeper into the heart of SQL data analysis by exploring the intricacies of T-SQL. Through this module, gain insights into the dynamic world of sets and unravel the logical order that powers SELECT statements. As you familiarize yourself with these core concepts, you’re taking strides in mastering SQL for precision data analysis.
Module 3 – Basic SELECT Queries: Kickstart your SQL data analysis journey by mastering the art of crafting simple SELECT statements. Learn how to optimize and streamline your data extraction process, ensuring accuracy by eliminating duplicates. The power of column and table aliases is unraveled, teaching you ways to make your data querying more efficient.
Module 4 – Querying Multiple Tables: Discover the intricate web that connects multiple tables in SQL data analysis. This module shines a light on the multifaceted world of joins, from inner to outer, and even the nuanced cross joins. Each type of join is a key player in ensuring you can harness SQL for comprehensive data analysis.
Module 5 – Sorting and Filtering Data: Every data analyst knows the importance of clean, organized data. Elevate your SQL data analysis skills by mastering the art of data sorting and filtering. This module will empower you with techniques to handle unknown values, ensuring that your analysis remains precise and reliable.
Module 6 – Introduction to Business Intelligence and Data Modeling: Expand your SQL data analysis horizon by diving into the transformative world of Business Intelligence. Explore how data models and warehouses play pivotal roles in shaping the way businesses derive insights from their data.
Module 7 to 9 – Data Preparation & Modeling: The journey of SQL data analysis is not just about querying; it’s about understanding and structuring your data. With a focus on Power BI, this trio of modules guides you on sourcing data, transforming it, and designing advanced data models that lay the foundation for impactful data analysis using SQL.
Module 10 – DAX: A deeper dive into DAX elevates your SQL data analysis capabilities. By understanding contexts, manipulating date tables, and filtering, you’re gearing up to tackle more complex data challenges.
Module 11 to 13 – Reporting & Dashboards: SQL data analysis is as much about presentation as it is about extraction. These modules offer a holistic approach to report creation, dashboard design, and mastering paginated reports. By the end, you’ll be equipped to present your SQL data analysis findings in a visually compelling manner.
Module 14 – Advanced Analytics: Journey into the advanced terrains of SQL data analysis. Harnessing tools like scatter charts and decomposition trees, this module ensures you’re well-versed in sophisticated analytical techniques.
Module 15 to 17 – Workspaces, Power App Visuals & Analysis Services: Rounding off our comprehensive course, these modules delve into the dynamic world of workspaces, Power App visuals, and integration with Analysis Services. It’s not just about analyzing data; it’s about creating a versatile environment where SQL data analysis thrives.
Throughout the program, students will be provided with a mix of theoretical knowledge, hands-on SQL tutorial for sql data analysis, and real-world examples. Whether you’re starting your journey in SQL or aiming to upgrade your skills, this course offers learning opportunities for all. From basic to advanced SQL data analysis, our course promises a holistic learning experience.
Join us and transform your proficiency in SQL data analysis empowering yourself to make informed decisions based on accurate data insights. Welcome to the future of data analytics!
Salary Opportunities for a SQL Data Analyst
These figures are approximate and can vary based on various factors such as experience, education, and company size.
| Major U.S. Cities | Low Salary Range ($) | Median Salary Range ($) | High Salary Range ($) |
|---|---|---|---|
| New York, NY | 70,000 | 90,000 | 115,000 |
| San Francisco, CA | 75,000 | 95,000 | 125,000 |
| Boston, MA | 68,000 | 85,000 | 110,000 |
| Chicago, IL | 65,000 | 82,000 | 105,000 |
| Seattle, WA | 70,000 | 90,000 | 115,000 |
| Austin, TX | 62,000 | 80,000 | 100,000 |
| Atlanta, GA | 60,000 | 78,000 | 98,000 |
| Los Angeles, CA | 68,000 | 85,000 | 110,000 |
| Washington, DC | 65,000 | 82,000 | 105,000 |
| Denver, CO | 62,000 | 80,000 | 100,000 |
| Miami, FL | 60,000 | 78,000 | 98,000 |
| Phoenix, AZ | 58,000 | 75,000 | 95,000 |
| Dallas, TX | 60,000 | 78,000 | 98,000 |
| Houston, TX | 61,000 | 79,000 | 100,000 |
These salary ranges are based on various industry reports and surveys and are intended to give a general idea of what an SQL Data Analyst might expect to earn in these cities.
You Might Also Be Interested In Our Comprehensive SQL Courses
- Microsoft SQL Database Design
- Introduction to Microsoft Power BI
- Querying SQL Server With T-SQL – Master The SQL Syntax
- Microsoft SQL Database Administration : Optimize Your SQL Server Skills
- Microsoft Server – SQL Data Analysis
- Microsoft SQL – SQL Big Data
- SSAS : Microsoft SQL Server Analysis Services
Frequently Asked Questions About Microsoft SQL Data Analysis Course
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.
Proudly DisplayYour Achievement
Upon completion of your training, you’ll receive a personalized certificate of completion to help validate to others your new skills.
Course Outline
Microsoft SQL Server 2019 - Introduction to Data Analysis Course Content
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
Your Training Instructor
James is a full-stack developer with over 40 years of experience. He has developed applications across all major industries and for Fortune 100 companies as well as local small businesses. James has also been teaching technology courses for over 20 years. In addition to his extensive background in technology, he has also worked as a professional opera singer.
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SQL Data Analysis With Microsoft SQL Server
SQL Data Analysis With Microsoft SQL Server
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Smooth delivery and easy access to LMS. Good to see that the LMS offers progress tracking. Would be great if badges were offered on completion of courses to share via Credly to future employers.