Microsoft SQL Server Reporting Services (SSRS)
Build reports in SQL Server Reporting Services (SSRS): Implement report layouts, add interactivity. Exam 70-466
Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.
What You'll Learn in This Course
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Learning Outcome 1
Create reports in SQL Server Reporting Services (SSRS).
Learning Outcome 2
We will develop your skills, bit by bit.
Learning Outcome 3
You can also download a free version of SQL Server which will allow you to practice creating reports on your own.
Learning Outcome 4
We will design a report, implementing report layouts and add interactivity into your reports.
Skills You'll Develop
This comprehensive Microsoft SQL Server Reporting Services (SSRS) curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Course Requirements & Target Audience
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
Prerequisites & Requirements
What you need before starting this Microsoft SQL Server Reporting Services (SSRS) course:
- You don't need any prior knowledge prior to taking this course.
- A couple of the bonus lectures will require some knowledge of T-SQL, but these lectures are optional.
- You don't need any form of SQL Server to already be installed on your computer; I will show you have to download it and install it - for free.
- It is not necessary to have SharePoint on your computer.
- If you want to know enough T-SQL to assist you with your SSRS work, please have a look at the first two sessions of my 70-461 courses.
Who This Course Is For
This course is perfect for:
- Motivated learners at any level
- Self-paced students
- Anyone interested in the subject
This course might not be suitable if:
- • You're looking for a quick tutorial rather than comprehensive learning
- • You prefer learning without structured curriculum
- • You need highly specialized or niche content
Course Information & Details
Everything you need to know about this online course, from duration to certification
Course Instructor
Phillip Burton
Expert instructor with industry experience
Course Language
English
All materials in English
Start Your Learning Journey Today
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Course Enrollment
Professional Course
Investment around $99.99
Pricing may vary. Check the course provider for current promotions and exact pricing.
What's Included
- 6 hours on-demand video
- 6 downloadable resources
- 12 articles
- Access on mobile and TV
- Certificate of Completion
- Full lifetime access
Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.
- ✓Instant access after enrollment
- ✓Learn at your own pace
- ✓Direct enrollment with Udemy
Where this course fits
Certifications in this area
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- Microsoft Certified: Azure AI Fundamentals · Foundational
- AWS Certified AI Practitioner · Foundational
- Microsoft Certified: Fabric Data Engineer Associate · Associate
- Microsoft Certified: Power BI Data Analyst Associate · Associate
- Databricks Certified Data Engineer Associate · Associate
Concepts behind this area
Data Wrangling
Data wrangling is the work of repairing and reshaping real records, and of deciding what their gaps and inconsistencies mean, until a table can be trusted with the question being asked of it.
Data Visualization
Data visualisation is the practice of encoding numbers as position, length and colour so that a comparison a reader would otherwise have to calculate becomes something they can simply see.
Data Engineering
Data engineering is the discipline of moving records from the systems that produce them into a store where they can be queried, and of keeping that supply correct while the sources underneath keep changing.
The field, explained: Data & Analytics
Wider context: the fields we cover, the glossary and certification exams, all written by us rather than pulled from a provider feed.