Business Intelligence Master Course

Business Intelligence is the study of tools and techniques through which you will be able to extract insights from raw data. It involves examining and cataloging past data through which you can measure the performance and make better business planning and better decisions. Therefore, with this business intelligence master’s course, you will gain proficiency in business intelligence. Our experts will enable you to work on multiple projects and gain real-time experience.

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Business Intelligence Course Online – Overview

In this Business Intelligence Masters Course Online, you will be dedicated to working on projects in Tableau, Informatica, Power BI, Data Warehousing, SQL DBA, MS SQL, MSBI, Azure Data Factory, etc. In this master’s program, you will gain an in-depth knowledge of the business intelligence concepts - how to work with SQL, design and develop an enterprise-class data warehouse, build a reporting solution, and do performance tuning in data warehouses.

Master’s in Business Intelligence Online Course – Key Features

  • Trusted content.
  • Rigorous assignments and assessments.
  • Learn at your own pace.
  • Mandatory feedback sessions.
  • Mock-interviews.
  • Hands-on real-time experience.
  • Free mentorship.
  • Live chat for instant solutions.
  • Job ready employees post-training.
  • End-to-end training.
  • Download the certificate after the course.
BI Master’s Course – Skills Covered: MSBI. MS-SQL. Tableau. Dashboarding. PowerBI. Power Charts. Informatica. Azure Data Factory. Data Lake. Elastic Pool. SQL DBA. Qlik Sense. Data Warehousing. Data Modeling. SSIS. SSRS. SSAS.

Business Intelligence Masters Program Online – Benefits

The global market growth of business intelligence is projected to be USD 43.03 billion by 2028 with a CAGR of 8.7%. Therefore, with this expected market size, we can see a huge increase in job openings and salaries.

Designation
Annual Salary
Hiring Companies
Job Wise Benefits
Designation
BI Architect

UK
Hiring Companies

Business Intelligence Master’s Program Online – Training Options

Self-Paced Learning

£ 1200

  • 1-year access to the Business Intelligence Master’s course content.
  • 1 capstone project.
  • Multiple assessments.
  • Continuous feedback sessions.
  • Access to the class recordings.
  • Assistance and support.
  • Download certification.
  • Free mentorship.

Online Boot Camp

£ 1000

  • Everything in Self-paced learning +
  • On-spot doubt clarification.
  • Interactive training sessions.
  • Sessions on the capstone project.
  • Live, online classroom training.
  • Mock-interviews.

Corporate Training

Customized to your team’s needs

  • 1-year access to the BI Master’s course content.
  • 1 capstone project.
  • Multiple assessments.
  • Continuous feedback sessions.
  • Class recordings.
  • Assistance and support.
  • Certification after the course.

Business Intelligence Online Training Masters Course – Curriculum

Eligibility

Freshers who are willing to get into the business intelligence domain, working professionals who are aiming to become business intelligence architects, big data professionals, BI professionals, project managers, data science professionals, and information architects are eligible to join this master’s training program.

Pre-requisites

Before you join this business intelligence master’s program, you should have a basic knowledge of business intelligence or must have done a beginner or intermediate level course.

Course Content

  • 1.001 Introduction to SQL
  • 1.002 Database Normalization and Entity Relationship Model
  • 1.003 SQL Operators
  • 1.004 Working with SQL: Join, Tables, and Variables
  • 1.005 Deep Dive into SQL Functions
  • 1.006 Working with Subqueries
  • 1.007 SQL Views, Functions, and Stored Procedures
  • 1.008 Deep Dive into User-defined Functions
  • 1.009 SQL Optimization and Performance
  • 1.010 Advanced Topics
  • 1.011 Managing Database Concurrency
  • 1.012 Programming Databases Using Transact-SQL
  • 1.013 Microsoft Courses: Study Material
  • 2.001 INTRODUCTION TO POWER BI
  • 2.002 DATA EXTRACTION
  • 2.003 DATA TRANSFORMATION – SHAPING & COMBINING DATA
  • 2.004 DATA MODELLING & DAX
  • 2.005 DATA VISUALIZATION WITH ANALYTICS
  • 2.006 POWER BI SERVICE (Cloud), Q & A AND DATA INSIGHTS
  • 2.007 POWER BI SETTINGS, ADMINISTRATION & DIRECT CONNECTIVITY
  • 2.008 EMBEDDED POWER BI WITH API & POWER BI MOBILE
  • 2.009 POWER BI ADVANCE & POWER BI PREMIUM
  • 3.001 Non-Relational Data Stores and Azure Data Lake Storage
  • 3.002 Data Lake and Azure Cosmos DB
  • 3.003 Relational Data Stores
  • 3.004 Why Azure SQL?
  • 3.005 Azure Batch
  • 3.006 Azure Data Factory
  • 3.007 Azure Data Bricks
  • 3.008 Azure Stream Analytics
  • 3.009 Monitoring & Security
  • 4.001 Introduction to Data Visualization and The Power of Tableau
  • 4.002 Architecture of Tableau
  • 4.003 Charts and Graphs
  • 4.004 Working with Metadata and Data Blending
  • 4.005 Advanced Data Manipulations
  • 4.006 Working with Filters
  • 4.007 Organizing Data and Visual Analytics
  • 4.008 Working with Mapping
  • 4.009 Working with Calculations and Expressions
  • 4.010 Working with Parameters
  • 4.011 Dashboards and Stories
  • 4.012 Tableau Prep
  • 4.013 Integration of Tableau with R
  • 5.001 What is BI?
  • 5.002 ETL Overview
  • 5.003 Working with Connection Managersx
  • 5.004 Collections Data Types
  • 5.005 Operators
  • 5.006 Summary and Quizzes and Recap
  • 5.007 Logic Control Statements
  • 5.008 Classes
  • 5.009 Introduction to SSRS
  • 5.010 Matrix and Tablix Overview
  • 5.011 Parameters and Expression
  • 5.012 Reports and Charts creation
  • 5.013 Dashboard Building
  • 5.014 Reports and Authenticity
  • 5.015 Getting started with SSAS
  • 5.016 Structures and Processes
  • 5.017 Type of Database Relationship
  • 5.018 SSAS Cube
  • 5.019 Cube: Operations & Limitations
  • 5.020 Cube and In-memory Analytics
  • 5.021 Data Source View
  • 5.022 Dimensions
  • 5.023 Measures & Features of Cube
  • 5.024 Measures and Features of Cube Cont
  • 5.025 Working with MDX
  • 5.026 Functions of MDX
  • 5.027 BI Semantic Model
  • 5.028 Plan and deploy SSAS
  • 5.029 Microsoft Courses ( Self-Paced Course)
  • 6.001 Data Warehousing and Cleansing Concepts
  • 6.002 Informatica Installation and Configuration
  • 6.003 Working with Active and Passive Transformation
  • 6.004 Working with Expression Transformation
  • 6.005 Working with Sorter, Sequence Generator and Filter Transformation
  • 6.006 Working with Joiner Transformation
  • 6.007 Working with Ranking and Union Transformation
  • 6.008 Syntax for Rank and Dense Rank
  • 6.009 Router Transformation
  • 6.010 Source Qualifier Transformation and Mappings
  • 6.011 Slowly Changing Dimension in Informatica
  • 6.012 Mapplet and Loading to Multiple Designer
  • 6.013 Performance Tuning in Informatica
  • 6.014 Repository Manager
  • 6.015 Best Practices in Informatica
  • 6.016 Workflow Informatica
  • 6.017 Parameters and Variables
  • 6.018 Error Handling and Recovery in Informatica
  • 6.019 High Availability and Failover in Informatica
  • 6.020 Working with Different Utilities in Informatica
  • 6.021 Flat File Processing (Advanced Transformations)
  • 6.022 Dynamic Targeting
  • 6.023 Working with Java Transformations
  • 6.024 Unconnected Stored Procedure Usage
  • 6.025 Advanced Concepts in SCD
  • 6.026 Incremental Data Loading and Aggregation
  • 6.027 Constraint-based Loading
  • 6.028 XML Transformation and Active Lookup
  • 6.029 Profiling in PowerCenter
  • 6.030 Workflow Creation and Deletion
  • 6.031 Database Connection
  • 6.032 Relational Database Tables
  • 6.033 LinkedIn Connection
  • 6.034 Connection with Sources
  • 6.035 Pushdown Optimization and Partitioning
  • 6.036 Cache Management
  • 7.001 Qlik Sense Introduction and Installation
  • 7.002 Qlik Sense Features
  • 7.003 Qlik Sense Data Model
  • 7.004 Creating a Data Model
  • 7.005 Advanced Data Modeling
  • 7.006 Qlik Sense Enterprise
  • 7.007 Qlik Sense Visualization
  • 7.008 Set Analysis
  • 7.009 Advanced Set Analysis
  • 7.010 Qlik Sense Charts
  • 7.011 Advanced Charts
  • 7.012 Master Library
  • 7.013 Qlik Sense Storytelling
  • 7.014 Mashups
  • 7.015 Extensions
  • 7.016 Security
  • 8.001 Installation and Configuration
  • 8.002 Managing Instances and Databases
  • 8.003 Optimizing and Troubleshooting
  • 8.004 Managing Data
  • 8.005 Implementing Security
  • 8.006 Implementing High Availability
  • 9.001 Introduction to Data Warehouse
  • 9.002 Architecture of Data Warehouse
  • 9.003 Data Modeling concepts
  • 9.004 Data Normalization
  • 9.005 Dimension & Fact Table
  • 9.006 SQL parsing, Cubes & OLAP
  • 9.007 Forward & Reverse Engineering (self paced)
  • 1.001 Introduction to Data Science
  • 1.002 Different Sectors Using Data Science
  • 1.003 Purpose and Components of Python
  • 1.004 Quiz
  • 1.005 Key Takeaways
  • 1.01 Course Introduction
  • 1.02 What Will You Learn

Business Intelligence Masters Training Program Online – FAQs

If you want to learn any of the individual specializations in business intelligence, then you can register for Tableau Certification Training, Informatica Certification Training, MSBI Certification Training, and Microstrategy Certification Training Courses at Hatigen.

This Business Intelligence Masters Course curriculum is designed by industry experts through which you can follow a structured learning path. Furthermore, this course ensures you become a Business Intelligence expert by enabling you to master all areas while the individual courses allow you to specialize on specific platforms. However, if you want to become an expert business intelligence professional, then this course is for you.

A Master’s in Business Intelligence enables you to dive deep into conceptual knowledge and with this certification course, you will be eligible to work as a project manager, developer, analyst, director, and consultant. However, this course is majorly pursued at the mid-point of the career in order to advance or experience career growth.

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