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SQL Server Analysis Services - SSAS, Data Mining & Analytics

Learn SSAS cube development! Master Multidimensional & Tabular models, plus Dimensional & Data Mining techniques for powerful data analysis.

4.3(1,318)
8,427students
7h 33m
Certificate
Siddharth Mehta
Siddharth MehtaEnterprise Cloud Architect, Published Author, Cloud Geek

Course Content

SQL Server Analysis Services - SSAS, Data Mining & Analytics is an all-levels Udemy course taught by Siddharth Mehta. It runs 7h 33m, is taught in English, and includes a certificate of completion. Learners rate it 4.3 out of 5 from 1,318 reviews, with 8,427 students enrolled. It is a paid course, last updated March 2019.

Master SSAS, Data Mining & Analytics: A Comprehensive Course

Unlock high-paying data science career opportunities with this in-depth course on SQL Server Analysis Services (SSAS), Data Mining, and Analytics. Designed for beginners, this course takes you from foundational concepts to advanced techniques, empowering you to achieve salaries ranging from $85k to $150k.

Why Choose This Course?

  • Learn from an Expert: Gain knowledge directly from a Published Author, Microsoft MVP, and Senior Technology Architect with 15+ years of experience in Business Intelligence, Data Mining, and Analytics. Benefit from real-world insights and direct Q&A.
  • Master Key Query Languages: Learn MDX, DAX, and DMX – the three essential query languages for analytics – all within a single course.
  • Become Job-Ready: Develop the skills to apply for SSAS Developer, Admin, or Architect roles and prepare for the Microsoft 70-768 certification.
  • Ace Your Interviews: Prepare for any SSAS, MDX, DAX, and Data Mining interview with over 150+ practice questions. Get personalized answers to your questions.

Course Content & Resources:

  • Downloadable Resources:
    • FREE SQL Server 2016 EBook
    • 150+ Interview Questions
    • 100+ Curated Reference Material Links
    • 70+ Ready-to-Use MDX / DAX Queries
    • Sample Databases: 1 Sample OLTP Database & 1 Sample Data Warehouse (with schema, diagrams, and dimensional modeling workbook)
    • Sample Multidimensional & Tabular OLAP Databases: Fully functional cubes with sample data.
    • Full Project: Develop a complete project throughout the course.
  • Comprehensive Curriculum:
    • Fundamentals: Introduction to OLAP, Analytics, and Data Mining.
    • Design: Data modeling and dimensional modeling techniques.
    • Development: Building SSAS solutions.
    • MDX Code Development: Mastering MDX query language.
    • Administration: Managing and maintaining SSAS environments.
    • Performance Tuning: Optimizing SSAS performance.
    • Data Mining Basics & Development: Applying data mining algorithms.
    • Tabular SSAS: Installation, configuration, design, and development.
    • DAX Programming: Advanced DAX techniques.
  • Understand the Microsoft BI Architecture: Learn how SSAS and Data Mining integrate with other Microsoft tools like SSIS, SSRS, MDS, DQS, PowerPivot, PowerView, SQL Server Database Engine, SSMS, and SSDT.

Fast-Track Learning: This course provides a fast-track to practical SSAS and Data Mining code development using the latest SQL Server 2016. No prior experience with SSAS, Data Mining, or MDX is required.

Who is this course for? This course is ideal for aspiring data scientists, data analysts, business intelligence professionals, and developers looking to enhance their skills and career prospects in the field of data analytics.

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