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via Udemy |
Go to Course: https://www.udemy.com/course/ssas-sql-server-analysis-services-2016-mdx-training/
Certainly! Here's a comprehensive review and recommendation for the course on Coursera: --- **Course Review and Recommendation: SQL Server Analysis Services, Data Mining, and Analytics on Coursera** If you're looking to dive into the world of Business Intelligence, Data Mining, and Analytics without prior experience, this course is an excellent choice. Taught by a seasoned Microsoft MVP and Senior Technology Architect with over 15 years of industry experience, this course offers practical insights rooted in real-world applications. **Top Reasons to Enroll:** 1. **Expert-Led Learning from a Published Author:** Gain direct access to a knowledgeable instructor who not only teaches but actively practices Business Intelligence and Data Mining globally. You can ask questions and get personalized guidance, making your learning experience highly interactive and valuable. 2. **Comprehensive Coverage of Query Languages & SSAS:** Without any background in analytics, you'll master essential query languages such as MDX, DAX, and DMX. The course also provides in-depth training on SSAS, preparing you for roles like SSAS Developer, Administrator, or Architect. Plus, it aligns with preparing for the Microsoft certification exam 70-768. 3. **Robust Interview Preparation:** Boost your employability with over 150 curated interview questions, practice tests, and detailed explanations. This focus makes the course not just educational but also career-oriented, giving you confidence for interviews and job applications. 4. **Extensive Downloadable Resources:** The course offers a wealth of downloadable materials, including a free SQL Server 2016 Ebook, reference links, ready-to-use queries, sample databases, comprehensive documentation, and full project files. This rich resource set ensures you can practice and reinforce your learning beyond the lectures. **Course Content and Structure:** This course covers fundamental concepts and advanced topics alike—from OLAP, data mining, and Data Science fundamentals to hands-on development of MDX, DAX, and DMX code. It includes practical exercises, theoretical tutorials, and real-world projects, making it suitable for developers, administrators, and aspiring data scientists. **Who Should Enroll?** - Beginners with no prior experience in data analytics or business intelligence - IT professionals seeking to expand into BI roles - Developers aiming to enhance their skills in SSAS, MDX, and Data Mining - Data enthusiasts preparing for Microsoft certifications and job interviews **Final Thoughts:** This course is a fast-track, comprehensive pathway into the dynamic field of BI and Data Mining. Its practical orientation, combined with expert guidance and valuable resources, makes it highly recommended for anyone aspiring to work with Microsoft BI tools and analytics on a professional level. Whether you're looking to upgrade your skills, prepare for a certification, or land a new role with a lucrative salary range, this course provides the knowledge, tools, and confidence to succeed. --- Feel free to ask if you'd like a personalized recommendation based on your current skills or career goals!
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 Link150+ Interview Questions100+ curated reference material links70+ Ready-to-use MDX / DAX QueriesLinks 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 DescriptionSQL 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.