Description
Become a Microsoft SQL server expert today with this Microsoft SQL Data Analysis Training Series course that contains everything you need to know! It includes Databases, Administration and an introduction to Power BI which will all help set yourself up for success in the future. Having these skills under your belt will be highly beneficial when it comes to job opportunities and salary growth – so don’t wait any longer; get started now!
Course Description for Microsoft SQL Server 2019 Data Analysis
This comprehensive course on Microsoft SQL Server 2019 Data Analysis covers the essential tools and techniques needed to effectively analyze data using SQL Server. Participants will learn how to use various query tools, master T-SQL querying, and explore business intelligence and data modeling concepts. The course also delves into practical applications of SQL for data analysis, including creating reports and dashboards with Power BI.
Throughout the course, learners will gain hands-on experience with SQL Server Management Studio, command-line query tools, and the latest features in SQL Server 2019. By the end of the course, students will be equipped to handle complex data analysis tasks and leverage SQL Server’s powerful capabilities to drive data-driven decision-making in real-world scenarios.
What You Will Learn in Microsoft SQL Server 2019 Data Analysis
By enrolling in this course, you will gain a thorough understanding of SQL Server 2019’s data analysis capabilities. You will acquire skills to efficiently manage and query data, design data models, and create insightful reports and dashboards. Key learning outcomes include:
- Understanding and using SQL Server Management Studio and command-line query tools.
- Mastering T-SQL querying, including SELECT statements, joins, and filtering data.
- Exploring business intelligence concepts and data modeling techniques.
- Transforming and loading data using Power BI.
- Designing data models with relationships and row-level security.
- Creating reports and dashboards with advanced features in Power BI.
- Performing advanced analytics and utilizing Power Apps visuals.
Who This SQL Server 2019 Data Analysis Course is For
This course is designed for a wide range of learners, including:
- Data analysts and business intelligence professionals looking to enhance their SQL skills.
- Database administrators and developers seeking to expand their knowledge of data analysis.
- Beginners in data analysis who want to start with SQL Server 2019.
- IT professionals aiming to leverage SQL Server for data-driven insights.
Possible Jobs You Can Get With This Knowledge
Acquiring skills in SQL Server 2019 data analysis can open up various career opportunities in the field of data analytics and beyond. Some potential job titles include:
- Data Analyst
- Business Intelligence Analyst
- SQL Developer
- Database Administrator
- Data Scientist
- Business Data Analyst
Average Industry Salaries for People with These Skills
Professionals skilled in SQL Server data analysis can expect competitive salaries across various industries. Approximate average salary ranges include:
- Data Analyst: $60,000 – $90,000
- Business Intelligence Analyst: $70,000 – $100,000
- SQL Developer: $75,000 – $110,000
- Database Administrator: $80,000 – $120,000
- Data Scientist: $90,000 – $140,000
Get Started Today with Microsoft SQL Server 2019 Data Analysis
Don’t miss the opportunity to advance your career with our Microsoft SQL Server 2019 Data Analysis course. Enroll today to gain the skills and knowledge needed to excel in the field of data analysis. With expert-led instruction and hands-on practice, you’ll be well-prepared to tackle real-world data challenges and drive meaningful insights for your organization.
Join now and take the first step towards becoming a proficient data analyst with SQL Server 2019!

Erin Anderson –
I liked the hands-on labs and real-world scenarios included in the lessons.
Michael Brown –
The course provided clear explanations and strong practical examples that helped me improve my Microsoft skills.
Susan Dunn –
A well-organized course that strengthened both my theoretical and practical knowledge.
Keith Ruiz –
A well-organized course that strengthened both my theoretical and practical knowledge.
Emily Spencer –
Great instructor-led content with practical exercises that made learning easier.
Aarav Patel –
Well-designed curriculum that blends core concepts with network-oriented problem solving.
Aarav Patel –
Very useful and easy to follow. The course tied technical topics into broader system and network operations effectively.
Ethan Brown –
The instructor explained concepts professionally, and the practical exercises boosted my confidence in real-world networking tasks.
Olivia Davis –
Helped me sharpen both coding and troubleshooting skills. The labs were realistic and engaging.