SQL Server Analysis Services - SSAS, Data Mining & Analytics
Why take this course?
🚀 Master SQL Server Analysis Services (SSAS), Data Mining & Analytics! 📊
Why You Should Take This Course:
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Expert-Led Learning: Learn from a Published Author, Microsoft MVP, and Senior Technology Architect with over 15 years of real-world experience in Business Intelligence, Data Mining, and Analytics.
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Comprehensive Coverage: From zero to hero, this course covers everything you need to know to become an SSAS Developer/Admin/Architect or prepare for the Microsoft certification 70-768.
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Interview Readiness: Prepare for any SSAS, MDX, DAX, and Data Mining interview with over 150+ interview questions provided. Plus, direct access to the instructor's expertise.
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Rich Learning Resources:
- FREE SQL Server 2016 EBook
- A collection of more than 150+ interview questions
- Over 100+ reference materials
- 70+ MDX / DAX Queries for hands-on practice
- Access to sample OLTP and Data Warehouse databases with schemas, documentation, and dimensional modeling workbooks
- Sample Multidimensional and Tabular OLAP Databases containing fully functional cubes with sample data
- A full project developed throughout the course
Course Description:
This course is designed to equip you with a comprehensive understanding of OLAP, Analytics, and Data Mining. It's an ideal journey for anyone looking to break into the high-paying world of data science, with potential salaries ranging from $85,000 to $150,000 based on your experience with SSAS, MDX, DAX, and Data Mining.
🔑 Key Features:
- Practical Exercises: Engage in hands-on exercises that are job-oriented and designed to enhance your practical skills.
- Theoretical Insights: Gain a deep understanding of key concepts that form the foundation of SSAS, Data Mining, and Analytics.
- Certification Prep: Get prepared with practice test questions for Microsoft certifications.
- Comprehensive Coverage: This course encompasses all aspects of SSAS, from architecture to performance tuning, and from basic Data Mining to advanced Tabular Model development.
Course Structure:
The course is meticulously structured into several categories to ensure a well-rounded understanding of SSAS, Data Mining & Analytics:
- Fundamentals: Understand the basics of OLAP, Analytics, and Data Mining.
- Design: Learn how to design complex solutions for data analysis.
- Development: Get hands-on with MDX code development and learn DAX programming.
- Administration: Acquire skills to manage SSAS instances effectively.
- Performance Tuning: Discover techniques to optimize your SSAS solutions.
- Data Mining Basics: Explore the fundamentals of Data Mining.
- Data Mining Development: Develop predictive models using Data Mining.
- Tabular SSAS Installation and Configuration: Set up a Tabular SSAS environment.
- Tabular SSAS Design and Development: Design and develop Tabular Model solutions.
Enroll now to embark on your journey into the world of advanced data science with SQL Server Analysis Services, Data Mining & Analytics! 🌟
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Comidoc Review
Our Verdict
SQL Server Analysis Services - SSAS, Data Mining & Analytics is a solid course on Udemy that covers various aspects of SSAS. While there are areas for improvement such as audio quality and course organization, it still provides a wealth of practical information in a hands-on manner, including extensive downloadable content that can significantly enhance your learning experience. If you're looking to build foundational to intermediate knowledge in SQL Server Analysis Services and related tools, this course should be valuable for you.
What We Liked
- Comprehensive coverage of SQL Server Analysis Services (SSAS) and related technologies, including Multidimensional & Tabular modes, MDX, DAX, and Data Mining
- Practical approach with downloadable course content, interview questions, reference materials, and sample projects
- Addresses SSAS administration tasks like backup, restore, processing dimensions and measures, building aggregations, and deployment
- Real-world scenarios and examples to help learners better understand the concepts
Potential Drawbacks
- Some lectures may be too high-level or not detailed enough for beginners; additional resources might be required for in-depth learning
- Occasional issues with audio, video, and pronunciation clarity that can make understanding the content challenging
- Minimal real-world use cases or case studies to showcase advanced SSAS applications
- A few users find the course disorganized, which may negatively impact the learning experience for some