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This online Advanced program in Business Intelligence is offered Intellipaat. The courses are designed to help you learn about Informatica, Tableau, MSBI, Power BI, MS SQL, Data Warehousing and Erwin, Azure Data Factory, etc. Upon successful completion of the program, you will get PLA Credits from Belhaven University.
Learning Format
Online
Duration
150 Hours
Career Services
by Intellipaat
12 PLA Credits from
Belhaven University
EMI Starts
at ₹8,000/month*
3109
1493
24542
This Advanced program in Business Intelligence includes 9 courses, of which 6 are online instructor-led and 3 are self-paced. There are 32 industry-relevant projects included in this program for you to work on to gain practical experience in the domain.
About Belhaven University
Belhaven University is known for its nationally recognized academics, top-rated faculty, and affordability. Belhaven strives for excellence in higher education and has achieved prominence in education dating back to 1883. Every student is encouraged to develop and grow to the best of their potential.
Key achievements of Belhaven University:
Upon the completion of this program, you will:
Program in Collaboration with Microsoft
Benefits for students from Microsoft:
They identify reusable opportunities, build and maintain business standards with the help of the best practice guidelines.
They manage a team of developers and analysts who are skilled to perform various processes of BI for development and implementation.
They manage Tableau and its numerous tasks, including the creation of dashboards, authoring and troubleshooting reports, and data source management.
These professionals are in charge of documenting, assisting, and organizing Data Lake SQL queries.
Business Intelligence Engineers audit and review various modeling processes and their results to help in the growth of the business.
They are in charge of a company’s complete data analytics and data warehousing division. They are in charge of all data analytics projects and are a part of the senior leadership group for the company.
Skills to Master
MSBI
MS-SQL
Tableau
Dashboarding
Tableau
Power BI
Power Charts
Informatica
Azure Data Factory
Data Lake
Elastic Pool
SQL DBA
Qlik Sense
Data Warehousing
Data Modeling
SSIS
SSRS
SSAS
Tools to Master
Vinayak has over 13 years of experience and specialises in data modelling, preparing KPIs, SQL queries, functional dashboards with Qlik, Power BI, sentiment analysis, etc., and holds a Certified Scrum Master (CSM) certification.
Suresh is responsible for overseeing and directing big data and analytics projects at Microsoft. He is experienced in advanced analytics and big data, prescriptive and predictive analysis having expertise in Hadoop and Spark.
16 Hours 13 Module
Module 01 – Introduction to SQL
Module 02 – Database Normalization and Entity Relationship Model
Module 03 – SQL Operators
Module 04 – Working with SQL: Join, Tables, and Variables
Module 05 – Deep Dive into SQL Functions
Module 06 – Working with Subqueries
Module 07 – SQL Views, Functions, and Stored Procedures
Module 08 – Deep Dive into User-defined Functions
Module 09 – SQL Optimization and Performance
Module 10 – Advanced Topics
Module 11 – Managing Database Concurrency
Module 12 – Programming Databases Using Transact-SQL
Module 13 – Microsoft Courses: Study Material
24 Hours 8 Module
Module 01 – INTRODUCTION TO POWER BI
Module 02 – DATA EXTRACTION
Module 03 – DATA TRANSFORMATION – SHAPING & COMBINING DATA
Module 04 – DATA MODELLING & DAX
Module 05 – DATA VISUALIZATION WITH ANALYTICS
Module 06 – POWER BI SERVICE (Cloud), Q & A AND DATA INSIGHTS
Module 07 – POWER BI SETTINGS, ADMINISTRATION & DIRECT CONNECTIVITY
Module 08 – EMBEDDED POWER BI WITH API & POWER BI MOBILE
Module 09 – POWER BI ADVANCE & POWER BI PREMIUM
30 Hours 9 Module
Module 01 – Non-Relational Data Stores and Azure Data Lake Storage
Module 02 – Data Lake and Azure Cosmos DB
Module 03 – Relational Data Stores
Module 04 – Why Azure SQL?
Module 05 – Azure Batch
Module 06 – Azure Data Factory
Module 07 – Azure Data Bricks
Module 08 – Azure Stream Analytics
Module 09 – Monitoring & Security
30 Hours 13 Module
Module 01 – Introduction to Data Visualization and The Power of Tableau
Module 02 – Architecture of Tableau
Module 03 – Charts and Graphs
Module 04 – Working with Metadata and Data Blending
Module 05 – Advanced Data Manipulations
Module 06 – Working with Filters
Module 07 – Organizing Data and Visual Analytics
Module 08 – Working with Mapping
Module 09 – Working with Calculations and Expressions
Module 10 – Working with Parameters
Module 11 – Dashboards and Stories
Module 12 – Tableau Prep
Module 13 – Integration of Tableau with R
42 Hours 36 Module
Module 01 – Data Warehousing and Cleansing Concepts
Module 02 – Informatica Installation and Configuration
Module 03 – Working with Active and Passive Transformation
Module 04 – Working with Expression Transformation
Module 05 – Working with Sorter, Sequence Generator and Filter Transformation
Module 06 – Working with Joiner Transformation
Module 07 – Working with Ranking and Union Transformation
Module 08 – Syntax for Rank and Dense Rank
Module 09 – Router Transformation
Module 10 – Source Qualifier Transformation and Mappings
Module 11 – Slowly Changing Dimension in Informatica
Module 12 – Mapplet and Loading to Multiple Designer
Module 13 – Performance Tuning in Informatica
Module 14 – Repository Manager
Module 15 – Best Practices in Informatica
Module 16 – Workflow Informatica
Module 17 – Parameters and Variables
Module 18 – Error Handling and Recovery in Informatica
Module 19 – High Availability and Failover in Informatica
Module 20 – Working with Different Utilities in Informatica
Module 21 – Flat File Processing (Advanced Transformations)
Module 22 – Dynamic Targeting
Module 23 – Working with Java Transformations
Module 24 – Unconnected Stored Procedure Usage
Module 25 – Advanced Concepts in SCD
Module 26 – Incremental Data Loading and Aggregation
Module 27 – Constraint-based Loading
Module 28 – XML Transformation and Active Lookup
Module 29 – Profiling in PowerCenter
Module 30 – Workflow Creation and Deletion
Module 31 – Database Connection
Module 32 – Relational Database Tables
Module 33 – LinkedIn Connection
Module 34 – Connection with Sources
Module 35 – Pushdown Optimization and Partitioning
Module 36 – Cache Management
30 Hours 29 Module
Module 01 – What is BI?
Module 02 – ETL Overview
Module 03 – Working with Connection Managers
Module 04 – Data Transformations
Module 05 – Advance Data Transformation
Module 06 – Slowly Changing Dimensions
Module 07 – Overview of Fuzzy Look-up Transformation and Lookup and Term Extraction
Module 08 – Concepts of Logging & Configuration
Module 09 – Introduction to SSRS
Module 10 – Matrix and Tablix Overview
Module 11 – Parameters and Expression
Module 12 – Reports and Charts creation
Module 13 – Dashboard Building
Module 14 – Reports and Authenticity
Module 15 – Getting started with SSAS
Module 16 – Structures and Processes
Module 17 – Type of Database Relationship
Module 18 – SSAS Cube
Module 19 – Cube: Operations & Limitations
Module 20 – Cube and In-memory Analytics
Module 21 – Data Source View
Module 22 – Dimensions
Module 23 – Measures & Features of Cube
Module 24 – Measures and Features of Cube Cont.
Module 25 – Working with MDX
Module 26 – Functions of MDX
Module 27 – BI Semantic Model
Module 28 – Plan and deploy SSAS
Module 29 – Microsoft Courses ( Self-Paced Course)
16 Hours 16 Module
Module 01 – Qlik Sense Introduction and Installation
Module 02 – Qlik Sense Features
Module 03 – Qlik Sense Data Model
Module 04 – Creating a Data Model
Module 05 – Advanced Data Modeling
Module 06 – Qlik Sense Enterprise
Module 07 – Qlik Sense Visualization
Module 08 – Set Analysis
Module 09 – Advanced Set Analysis
Module 10 – Qlik Sense Charts
Module 11 – Advanced Charts
Module 12 – Master Library
Module 13 – Qlik Sense Storytelling
Module 14 – Mashups
Module 15 – Extensions
Module 16 – Security
16 Hours 6 Module
Module 01 – Installation and Configuration
Module 02 – Managing Instances and Databases
Module 03 – Optimizing and Troubleshooting
Module 04 – Managing Data
Module 05 – Implementing Security
Module 06 – Implementing High Availability
12 Hours 8 Module
Module 01 – Introduction to Data Warehouse
Module 02 – Architecture of Data Warehouse
Module 03 – Data Modeling concepts
Module 04 – Data Normalization
Module 05 – Dimension & Fact Table
Module 06 – SQL parsing, Cubes & OLAP
Module 07 – Erwin Design Layer Architecture (self paced)
Module 08 – Forward & Reverse Engineering (self paced)
The projects that you will get to work on in this Advanced program are well-suited for learners to gain industry experience and hands-on training.
Practice 100+ Essential Tools
Designed by Industry Experts
Get Real-world Experience
Admission Details
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Submit Application
Tell us a bit about yourself and why you want to join this program
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates will be notified within 1–2 weeks
Total Admission Fee
EMI Starts at
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs
Financing Partners
| Date | Time | Batch Type | |
|---|---|---|---|
| Regular Classes | 10th Dec 2024 | 07:00 AM IST | Weekday (Tue-Fri) |
This online Advanced program will give you hands-on experience and help you become a successful Business Intelligence professional with a strong background in various skillsets and tools that are in demand in the corporate world. The various program courses meet industry standards and requirements. After completing the program, you will receive a PLA Credits from Belhaven University.
As part of the course work, you will also get the opportunity to work hands-on on several industry-based projects and assignments that are highly relevant in the real-industry environment. Upon completion of the program, you will be qualified to apply to some of the top-paying jobs around the world.
You can enroll in our Business Intelligence online Advanced program. Once you successfully complete the program, as well as the projects and assignments, you will receive your PLA Credits from Belhaven University.
Our Learning Management System (LMS) ensures a customized learning experience that includes both live sessions & self-paced videos. In case you miss a live session, you will be able to watch the recorded video of the session so you don’t have to worry about missing out on a lesson.
You can contact our course advisors for more information on the Business Intelligence Advanced program. They will provide you with all the assistance relating to the program.
Belhaven University PLA Credits Assessed for this course is 12.
*Note, there is a maximum number of PLA credits that may be applied toward a degree program. Refer to the Belhaven University website for the latest on PLA policies.
Please note that the course fees is non-refundable and we will be at every step with you for your upskilling and professional growth needs.
Due to any reason you want to defer the batch or restart the classes in a new batch then you need to send the batch defer request on [email protected] and only 1 time batch defer request is allowed without any additional cost.
Learner can request for batch deferral to any of the cohorts starting in the next 3-6 months from the start date of the initial batch in which the student was originally enrolled for. Batch deferral requests are accepted only once but you should not have completed more than 20% of the program. If you want to defer the batch 2nd time then you need to pay batch defer fees which is equal to 10% of the total course fees paid for the program + Taxes.
Yes, Intellipaat certification is highly recognized in the industry. Our alumni work in more than 10,000 corporations and startups, which is a testament that our programs are industry-aligned and well-recognized. Additionally, the Intellipaat program is in partnership with the National Skill Development Corporation (NSDC), which further validates its credibility. Learners will get an NSDC certificate along with Intellipaat certificate for the programs they enroll in.
What is included in this course?
