Business Intelligence Master
Overview
Who Should Choose The Business Intelligence Master Certification Course?
The Business Intelligence course by Cambridge InfoTech Bangalore is a certification course for anyone who wants to learn concepts such as Tableau. This course is also ideal for both students and professionals who have basic knowledge of the topic and want a deeper understanding of Tableau, Power BI and Python integration in business intelligence.
The course is split into many modules, with each module split further into segments for easy understanding. Each module has various stages that give students a strong foundation through an introduction to core topics, a further understanding of fundamentals and finally cases, interactive teaching and practice exercises to test their knowledge levels.
Students will be taught how to use many types of self-service business intelligence platforms, and applications that make the topic uncomplicated to learn and tried, tested ways to perform all the tasks in a live setting for when they get jobs.
Students will also gain perspective on using Python and its ecosystem to install features such as Anaconda as well as Jupyter Notebooks. This will be the basis for creating initial codes as well as using key Python data types to complete advanced and more complex tasks.
By the end of the course, students will have hands-on experience and confidence to complete a series of tasks such as building complex relational models using simple and intuitive tools as well as building completely interactive dashboards from the start to the finish, all on their own in a guided eLearning environment.
Why Trust Cambridge InfoTech with Your Higher Learning Needs?
Cambridge Infotech has been a leading institute in India for many decades with a vast experience in eLearning courses. The trainers at Cambridge InfoTech are passionate about teaching students new concepts at their pace and as per their expertise.
Other than imparting knowledge to students, we ensure that our students will be given insight on the right way to build their resumes to display their new skills to prospective employers. Through extended support and a series of resources, students will also be prepared for interviews as well as the final certification. Once the certification is completed successfully, students will get placement in firms as per their new skillset.
What you'll learn?
- Students who wish to enroll in the Business Intelligence Master Course by Cambridge InfoTech, Bangalore will get access through a trainer, classroom, interactive learning, and additional resources to learn the following concepts.
- This list is not extensive and a lot more topics will be taught as well.
- Introduction to building professional-quality business intelligence reports from scratch
- Learn how to blend and transform raw data into fully-functional and customizable interactive dashboards
- Get an understanding of concepts to help you design and implement the top B.I. tools used by skilled and certified analysts and data scientists
- Learn the best ways to showcase and hone your newly acquired skills with multiple full-scale course projects in a guided environment with complete trainer support
- Get a complete grasp of fundamentals related to the business workflow from the start to the end
- Learn the right techniques from BI developer master trainers to use the latest Tableau software for use in a professional setting
- Learn how to ace and excel using the latest Tableau software for use in a professional setting
- Learn core Python concepts such as how to use blocks of base Python, including data types, variables, loops, functions, and other core functionalities
- Get an understanding of tried and tested techniques to use Jupyter Notebooks to write, manage, and comment on your Python code
- Learn the best methods as per industry standards to manipulate business intelligence functionalities such as numeric data, text strings, lists, tuples, dictionaries, and sets
- Get a practical understanding of new concepts including but not limited to raw data using conditional logic, nested loops, custom functions, and comprehensions
- Get hands-on experience with additional and advanced concepts such as Python's Openpyxl package to read & write data to Excel worksheets
- Learn how to perfectly implement further Python concepts in a live environment.
- These concepts include solid, foundational Python skills for data analysis &.
- Business intelligence
Course Modules
MS SQL
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Introduction to SQL
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Database Normalization and Entity Relationship Model
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SQL Operators
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Working with SQL – Join, Tables, and Variables
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Deep Dive into SQL Functions
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Working with Subqueries
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SQL Views, Functions, and Stored Procedures
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Deep Dive into User-defined Functions
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SQL Optimization and Performance
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Advanced Topics
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Managing Database Concurrency
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Programming Databases Using Transact-SQL
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Microsoft Courses – Study Material
Power BI
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Introduction to Power BI
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Data Extraction
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Data Transformation – Shaping and Combining Data
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Data Modelling & DAX
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Data Visualization with Analytics
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Power BI Services (Cloud), Q&A, and Data Insights
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Power BI Settings, Administration, and Direct Connectivity
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Embedded Power BI with API and Power BI Mobile
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Power BI Advance and Power BI Premium
Azure Data Factory
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Non-relational Data Stores and Azure Data Lake Storage
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Data Lake and Azure Cosmos DB
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Relational Data Stores
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Why Azure SQL?
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Azure Batch
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Azure Data Factory
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Azure Data Bricks
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Azure Stream Analytics
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Monitoring & Security
Tableau Desktop 10
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Introduction to Data Visualization and the Power of Tableau
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Architecture of Tableau
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Charts and Graphs
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Working with Metadata and Data Blending
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Advanced Data Manipulations
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Working with Filters
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Organizing Data and Visual Analytics
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Working with Mapping
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Working with Calculations and Expressions
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Working with Parameters
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Dashboards and Stories
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Tableau Prep
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Integration of Tableau with R
MSBI
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What is BI?
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ETL Overview
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Working with Connection Managers
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Data Transformations
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Advance Data Transformation
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Slowly Changing Dimensions
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Overview of Fuzzy Lookup Transformation, Lookup, and Term Extraction
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Concepts of Logging & Configuration
MSBI SSRS Course Content
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Introduction to SSRS
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Matrix and Tablix Overview
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Parameters and Expressions
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Reports and Charts Creation
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Dashboard Building
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Reports and Authenticity
MSBI SSAS Course Content
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Getting started with SSAS
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Structures and Processes
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Type of Database Relationship
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SSAS Cube
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Cube: Operations & Limitations
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Cube and In-memory Analytics
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Data Source View
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Dimensions
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Measures & Features of Cube
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Measures and Features of Cube Cont.
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Working with MDX
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Functions of MDX
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BI Semantic Model
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Plan and Deploy SSAS
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Microsoft Courses (Self-paced)
Informatica Developer and Admin
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Data Warehousing and Cleansing Concepts
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Informatica Installation and Configuration
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Working with Active and Passive Transformation
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Working with Expression Transformation
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Working with Sorter, Sequence Generator, and Filter Transformation
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Working with Joiner Transformation
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Working with Ranking and Union Transformation
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Syntax for Rank and Dense Rank
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Router Transformation
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Source Qualifier Transformation and Mappings
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Slowly Changing Dimension in Informatica
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Mapplet and Loading to Multiple Designer
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Performance Tuning in Informatica
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Repository Manager
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Best Practices in Informatica
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Workflow Informatica
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Parameters and Variables
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Error Handling and Recovery in Informatica
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High Availability and Failover in Informatica
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Working with Different Utilities in Informatica
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Flat File Processing (Advanced Transformations)
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Dynamic Targeting
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Working with Java Transformations
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Unconnected Stored Procedure Usage
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Advanced Concepts in SCD
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Incremental Data Loading and Aggregation
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Constraint-based Loading
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XML Transformation and Active Lookup
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Profiling in PowerCenter
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Workflow Creation and Deletion
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Database Connection
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Relational Database Tables
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LinkedIn Connection
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Connection with Sources
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Pushdown Optimization and Partitioning
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Cache Management
Qlik Sense
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Qlik Sense Introduction and Installation
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Qlik Sense Features
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Qlik Sense Data Model
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Creating a Data Model
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Advanced Data Modeling
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Qlik Sense Enterprise
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Qlik Sense Visualization
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Set Analysis
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Advanced Set Analysis
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Qlik Sense Charts
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Advanced Charts
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Master Library
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Qlik Sense Storytelling
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Mashups
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Extensions
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Security
SQL DBA
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Installation and Configuration
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Managing Instances and Databases
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Optimizing and Troubleshooting
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Managing Data
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Implementing Security
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Implementing High Availability
Data Warehousing and Data Modeling
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Introduction to Data Warehouse
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Architecture of Data Warehouse
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Data Modeling Concepts
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Data Normalization
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Dimension and Fact Table
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SQL Parsing, Cubes, and OLAP
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Forward & Reverse Engineering (Self-paced)
Student Ratings & Reviews

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LevelIntermediate
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Total Enrolled5
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Duration110 hours
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Last UpdatedJanuary 18, 2023
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CertificateCertificate of completion
Tags
Requirements
- Students who want to enroll in the Cambridge InfoTech Business Intelligence Master course with certification do not need any prior subject knowledge.
- All the concepts will be taught from the start for using all Business Intelligence tools.
- The following requirements are needed to enroll in the Business Intelligence Master certification course.
- Basic computer knowledge is a must
- Access to a physical PC preferably Windows