SQL Server Analysis Services – SSAS, Data Mining & Analytics

Develop SSAS cubes from data warehouse on Multidimensional & Tabular modes with Dimensional & Data Mining Models

Top 4 Reasons to take this course:

What you’ll learn

  • Downloadable Course Content – FREE SQL Server 2016 EBook, 150+ Interview Questions, 100+ curated reference material links, 70+ MDX / DAX Queries, Links to 1 Sample OLTP Database and 1 Sample Data Warehouse with sample data – schema diagrams – documentation – dimensional modeling workbook, 1 Sample Multidimensional OLAP Database + 1 Sample Tabular OLAP Database containing fully functional cube with sample data, and Full project developed in the course..
  • By end of this course, you should be able to work with actual clients, technology architects, or team leads on a large scale SQL Server Analysis Services / MDX / Data Mining Project.
  • Learn SQL Server Analysis Services ( SSAS ) Multi-dimensional as well as Tabular, Multidimensional Data Expressions ( MDX ) query language, Data Analysis Expressions (DAX) expression language and Data Mining on latest version of SQL Server – 2016 on a fast track with more practicals and limited theory necessary for fundamentals..
  • Develop Data Mining Models on algorithms like Decision Trees, Naive Bayes, Clustering, Neural Network, Time Series, Linear Regression and Sequence Clustering.
  • Test your knowledge with more than 150 SSAS, MDX, DAX and Data Mining interview or Microsoft BI certification practice test questions. Every few weeks, new interview questions are added to the course..
  • Design, Model and Build SSAS database, data warehouse or data mart, and database objects like facts, dimensions, cubes, measures, perspectives, etc.
  • Deploy SSAS solutions and learn SSAS administration tasks like backup and restore, processing dimensions and measures, building aggregations, etc.
  • Develop MDX and DAX code with confidence.
  • Develop SSRS Reports using MDX as query language and SSAS as data source.
  • Debug issues and performance tune SSAS solutions for optimal performance.
  • Learn about Microsoft Business Intelligence Architecture, and understand how SSAS fits in this architecture along with other tools like SSIS, SSRS, Master Data Services ( MDS ), Data Quality Services ( DQS ), Powerpivot, PowerView, SQL Server Database Engine, SSMS, SSDT and other tools..

Course Content

  • Introduction –> 1 lecture • 12min.
  • Fundamentals and Technology Overview –> 8 lectures • 59min.
  • SQL Server Analysis Services (SSAS) Installation –> 3 lectures • 15min.
  • Cube Design and Development –> 8 lectures • 48min.
  • Multidimensional Expressions – Practical code development –> 10 lectures • 1hr 18min.
  • Administration –> 6 lectures • 34min.
  • Advance Techniques –> 4 lectures • 35min.
  • Performance Tuning –> 4 lectures • 18min.
  • Basics of Data Mining Concepts and Data Mining Algorithms –> 9 lectures • 36min.
  • Developing Data Mining Models using SQL Server and SSAS –> 8 lectures • 1hr 2min.
  • Tabular SSAS – Installation and Setup –> 4 lectures • 14min.
  • SSAS Tabular Data Model – Design and Development –> 11 lectures • 59min.
  • Conclusion –> 2 lectures • 4min.

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Requirements

Top 4 Reasons to take this course:

1) You can learn SSAS, Data Mining and Analytics from scratch as well as ask questions directly to a Published Author, Microsoft MVP, and a Senior Technology Architect with more than 15 years of experience who actively practices Business Intelligence, Data Mining and Analytics in real-world client projects internationally.

2) In a single course, without any prior analytics experience – You can learn three query languages used for analytics – MDX, DAX and DMX. Along with this you learn SSAS in such detail that you can apply for a job of SSAS Developer / Admin / Architect, and also prepare yourself for Microsoft certification 70-768.

3) You get to train yourself for any SSAS, MDX, DAX, and Data Mining interview with more than 150+ interview questions. If you still have any questions, you can ask those questions to me.

4) Downloadable Course Content:

  • FREE SQL Server 2016 EBook Link
  • 150+ Interview Questions
  • 100+ curated reference material links
  • 70+ Ready-to-use MDX / DAX Queries
  • Links to 1 Sample OLTP Database and 1 Sample Data Warehouse with sample data – schema diagrams – documentation – dimensional modeling workbook
  • Links to 1 Sample Multidimensional OLAP Database + 1 Sample Tabular OLAP Database containing fully functional cube with sample data
  • Full project developed in the course.

 

Course Description

SQL Server Analysis Services, Data Mining and Analytics is a  course in which a student having no experience in data science and analytics would be trained step by step from basics to advanced data science topics like data mining. The intention of this course is to empower students with the knowledge of OLAP, Analytics and Data Mining, which can potentially yield salaries of $85 – $150k based only on your experience of SSAS, MDX, DAX and Data Mining.

Course includes job-oriented practical hands-on exercises, theoretical coverage of key concepts, interview questions, practice test questions for certifications and more. This course covers all the topics for developers, administrators as well as aspiring data scientists. New Interview questions are added to the course every few weeks. Anyone pursuing this course would be able to clearly understand about Microsoft Business Intelligence Architecture, and understand how SSAS and Data Mining fits in this architecture along with other tools like SSIS, SSRS, Master Data Services ( MDS ), Data Quality Services ( DQS ), Powerpivot, PowerView, SQL Server Database Engine, SSMS, SSDT and other tools.

SQL Server Analysis Services, Data Mining and MDX is a fast track course to learn practical SSAS ( SQL Server Analysis Services ), Data Mining and MDX code development using the latest version of SQL Server – 2016. No prior experience of working with SSAS / Data Mining or MDX is required.

The course is structured in the following categories: Fundamentals, Design, Development, MDX Code development, Administration, Performance Tuning, Data Mining Basics and Data Mining Development, Tabular SSAS Installation and Configuration, and Tabular SSAS Design and Development as well as DAX programming.

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