SQL Server Analysis Services SSAS, Data Mining Analytics

SQL Server Analysis Services – SSAS, Data Mining & Analytics, available at $59.99, has an average rating of 4.1, with 78 lectures, 11 quizzes, based on 1307 reviews, and has 8366 subscribers.

You will learn about 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. This course is ideal for individuals who are 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 or This course is for those who want to start a career in the analytics space by learning a niche skill or If you are planning to appear for a SSAS job interview or MS BI Certification, this course is for you or Students planning to take 70-768 microsoft certification should enroll in this course as the course covers almost entire topics of the exam. or 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. or 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. or 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 or 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 It is particularly useful 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 or This course is for those who want to start a career in the analytics space by learning a niche skill or If you are planning to appear for a SSAS job interview or MS BI Certification, this course is for you or Students planning to take 70-768 microsoft certification should enroll in this course as the course covers almost entire topics of the exam. or 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. or 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. or 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 or 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.

Enroll now: SQL Server Analysis Services – SSAS, Data Mining & Analytics

Summary

Title: SQL Server Analysis Services – SSAS, Data Mining & Analytics

Price: $59.99

Average Rating: 4.1

Number of Lectures: 78

Number of Quizzes: 11

Number of Published Lectures: 78

Number of Published Quizzes: 11

Number of Curriculum Items: 89

Number of Published Curriculum Objects: 89

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction, Why to learn SSAS and MDX, What youll need

Chapter 2: Fundamentals and Technology Overview

Lecture 1: Business Intelligence Solution Components Overview

Lecture 2: Analyzing Dimensional Model

Lecture 3: Resources for downloading and analyzing sample Data Warehouse and OLTP database

Lecture 4: Business Intelligence Semantic Model Overview

Lecture 5: SSAS Overview

Lecture 6: Multidimensional Expressions Overview

Lecture 7: Comparison of SSAS Multidimensional, Tabular and Data Mining modes

Lecture 8: SQL Server 2016 Ebook Download Link and Glossary of SSAS Terminologies

Chapter 3: SQL Server Analysis Services (SSAS) Installation

Lecture 1: Installing SQL Server and SSAS

Lecture 2: Configuring SSAS

Lecture 3: Resources and FAQ for SSAS Installation and Configuration

Chapter 4: Cube Design and Development

Lecture 1: Attaching Data Warehouse

Lecture 2: Data Source and Data Source Views

Lecture 3: Developing Cube using Cube wizard

Lecture 4: Cube Design

Lecture 5: Dimension Design

Lecture 6: Hierarchy Design

Lecture 7: SSAS Deployment

Lecture 8: Resources for Design and Development of SSAS Cube, Dimension, Measures

Chapter 5: Multidimensional Expressions – Practical code development

Lecture 1: Installing OLAP database

Lecture 2: Fundamentals of MDX Query

Lecture 3: Querying Object hiearchy – Dimensions, Attributes and Members

Lecture 4: Navigating and Sorting data

Lecture 5: Filtering Data

Lecture 6: Named Sets and Subcubes

Lecture 7: Calculated Measures and KPIs

Lecture 8: SSRS with MDX

Lecture 9: 50+ Ready-to-use MDX Queries

Lecture 10: Glossary of MDX Terms

Chapter 6: Administration

Lecture 1: Processing Dimensions, Measurses and Cubes

Lecture 2: Backup and Restore

Lecture 3: Query Logging, Exception Logging and Flight Recorder

Lecture 4: Scripting and Synchronizing Databases

Lecture 5: SSAS Security

Lecture 6: Resources for SSAS Administration

Chapter 7: Advance Techniques

Lecture 1: Fine tuning and Multi-lingual Support

Lecture 2: Aggregation Design

Lecture 3: Partitioning and Storage Modes

Lecture 4: Resources for SSAS Advance Techniques

Chapter 8: Performance Tuning

Lecture 1: Query interception and analysis

Lecture 2: Usage based performance optimization

Lecture 3: Performance Counters

Lecture 4: Resources for SSAS Performance Tuning

Chapter 9: Basics of Data Mining Concepts and Data Mining Algorithms

Lecture 1: Applications of Data Mining

Lecture 2: Problem Definition for Data Mining with SSAS

Lecture 3: Data Preparation for Data Mining with SSAS

Lecture 4: Data Exploration for Data Mining with SSAS

Lecture 5: Building and Training Models for Data Mining with SSAS

Lecture 6: Validating model for Data Mining with SSAS

Lecture 7: Deploying models for Data Mining with SSAS

Lecture 8: Data Mining Algorithms

Lecture 9: Resources for Data Mining Algorithms in SQL Server 2016 and SSAS

Chapter 10: Developing Data Mining Models using SQL Server and SSAS

Lecture 1: Building a Relational Data Mining Model and Data Mining Structure

Lecture 2: Analyzing and Testing a Relational Data Mining Model

Lecture 3: Applying a Data Mining Model for Prediction

Lecture 4: Reusing a Data Mining Structure

Lecture 5: Building an OLAP Data Mining Model

Lecture 6: Analyzing Cube with Data Mining Dimension

Lecture 7: Developing Data Mining Reports using Microsoft Office

Lecture 8: Resources for SSAS Data Mining Model Development

Chapter 11: Tabular SSAS – Installation and Setup

Lecture 1: Introduction to SSAS – Tabular Mode, Vertipaq Engine & Data Analysis Expressions

Lecture 2: Installing Tabular SSAS

Lecture 3: Setting up a sample SSAS Tabular database, data warehouse & SSAS Tabular Project

Lecture 4: Resources for SSAS Tabular Installation

Chapter 12: SSAS Tabular Data Model – Design and Development

Lecture 1: Developing Tables, Relationships, and Hierarchies

Lecture 2: Basics and Terminologies of SSAS Tabular Modeling and Data Analysis Expressions

Lecture 3: Developing Calculated Columns and Measures using DAX

Lecture 4: Developing Key Performance Indicators using DAX

Lecture 5: Configuring Perspectives in Tabular SSAS

Lecture 6: Difference between In-Memory and DirectQuery query modes

Lecture 7: Querying SSAS Tabular Data Model using DAX

Lecture 8: Ready to use DAX Queries

Lecture 9: Security in SSAS Tabular

Lecture 10: Developing PowerView Reports from SSAS Tabular Data Model using Microsoft Office

Lecture 11: Resources for SSAS Tabular Model Development

Chapter 13: Conclusion

Instructors

Siddharth Mehta
Enterprise Cloud Architect, Published Author, Cloud Geek

Rating Distribution

1 stars: 56 votes

2 stars: 89 votes

3 stars: 258 votes

4 stars: 465 votes

5 stars: 439 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!