SQL Server Analysis Services - SSAS, Data Mining & Analytics
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.
Requirements
- No prior knowledge of SSAS, MDX, Dimensional modeling or Data Mining is required.
- Basic working knowledge of SQL Server like working with tables, views, stored procedures etc is required.
Description
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.
Who this course is for:
- Open minded professionals seeking to give a competitive edge to their carrer in the field of data and analytics should definitely consider in enrolling for this course
- This course is for those who want to start a career in the analytics space by learning a niche skill
- If you are planning to appear for a SSAS job interview or MS BI Certification, this course is for you
- Students planning to take 70-768 microsoft certification should enroll in this course as the course covers almost entire topics of the exam.
- Data mining professionals are very rare and having even a basic or intermediate training on Data Mining is a huge plus. Students who wants to add a plus on their resume should take this course.
- MDX developers are one of the most sought after professionals in the analytics data space. This course is for those who are ready to invest their time in a complex skill to differentiate themselves from the crowd.
- This course is specially designed for those working or who want to work in the role of MS BI Architect, MDX Developer, SSAS Administrator, SSAS Architect, SSAS Developer, Data Modeler, MS BI Developer, SSAS Performance Engineering Specialist and others
- SSAS Tabular and DAX is the newest trend in the self-service Analytics using SSAS. Students interested in this part of the BI should enroll in this course
Featured review
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Instructor
- 4.2 Instructor Rating
- 8,496 Reviews
- 69,286 Students
- 10 Courses
Udemy's Top 10% of most engaging instructors
My name is Siddharth Mehta. I have career experience of more than 15 years in the IT Industry and am presently working as Enterprise Cloud Architect. I am published author on many online and print-media publications. I have taught thousands of students on Udemy and have number of courses on Data and Analytics.
Would you consider learning from just any hobbyist who knows programming or someone who just teaches programming without practically using it in the real world, or someone who has experience of using the technology in real world on multi-million dollar large-scale projects globally ? I will teach you everything I know about the subject, from my years of practical experience in the field of BI, Data, Analytics, Cloud and Data Science.
If you are interested in learning more about me, below are some of my career highlights:
I have career experience of more than 15+ years and am presently working in New York Metro region as Enterprise Architect for a life-sciences proprietary multi-tenant product technology portfolio, managing an ecosystem of ISVs and tenants. Below are some of my career highlights:
-|- International experience of working across geographies (US, UK, Singapore) for multi-national clients in Banking, Logistics, Government, Media Entertainment, Products, Life Sciences and other domains
-|- Lead architecture of multi-million dollar portfolios containing apps in Cloud, web, mobile, BI, Analytics, Data warehousing, Reporting, Collaboration, CMS, NoSQL and other categories.
-|- Official inventor of a patented application
-|- Published author/reviewer of whitepapers for Microsoft MSDN Library, Manning publication, Packt publication and others.
-|- Certifications: AWS Certified Solution Architect, TOGAF 9, CITA-F, HCAHD and more
In my present role, I remain responsible for Estimations like AO, IO, SI, IC & Security, Architecture Design, Technology Stack selection, Infra design, 3rd party products evaluation and procurement, and Performance engineering. Hands-On Technology experience of below tech:
-|- OS: Win, Linux
-|- Cloud: GCP, Azure, AWS
-|- Databases: Neo4j, AWS Neptune, Redis, Memcached, MongoDB, Cassandra, HBase, SQL Server, MariaDB, Postgres, Aurora, MySQL, SSAS, AWS Redshift, Google BigQuery, Azure Data Lake, AWS RDS, DynamoDB, Athena, AWS Elasticache
-|- Big Data: Google DataProc, AWS EMR, Kafka, Spark, Hive, Oozie
-|- Search: AWS Elasticsearch
-|- Web: Node.JS, Angular, jQuery, REST APIs, React
-|- ESB/ETL: AWS Lambda, Step Functions, AWS Kinesis, AWS Glue, Mulesoft, SSIS, AWS Data pipeline
-|- Data Science: R , Python, GGPlot 2, Numpy, Seaborn, Pandas, Skikit-learn, Spark ML, Data Mining, Regression & Classification algorithms
-|- Reports / Dashboards : Tableau, Qlikview, SSRS, AWS Quicksight, D3