Update on 20 Sep, 2024
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Business Intelligence Course: In this business-minded world, one needs to take up a course as a career that can help out both in one career and your own business. Are you baffled about which is the course that can facilitate you in both? BI course yes, you got it right– we’ll talk about becoming the BFF of business performance – the Business Intelligence specialist! We’ll take a quick peep into what the BI course is, how it helps and how much zeros are associated with their salary.
Now, we’ll discuss what skills and educational knowledge will help you become one. And if you are considering a profession as a BI analyst, extraordinary choice, BI analysts are some of the most in-demand data science professionals across many industries and business fields at the moment.
However, if you don't have the intellectual experience or relevant mastery for the job, it’s easy to get hindered. It is said that you should know that acquiring these skills is possible, even for complete beginners.
Don't have any knowledge on when, where, and how the Business Intelligence Course doesn’t worry till the end of this text you will know each detail about it.
List of Courses After Business Intelligence/ BI Course:
You need to know everything about a career in Business Intelligence(BI) course. The first thing people think to become after completing the BI course is becoming a BI analyst but no it is just one of several ways to get yourself on the data science track, and if that’s what you’re aiming for, just keep in mind the other options, too like:
BI analysts are superb business performance ninjas who acquire a combination of business vision, consultant abilities, and a profound understanding of data.
They combine forces with senior management to shape and develop a data strategy. Assessment of Key Performance Indicators (KPIs), accurate overview of business performance, and identifying areas that need improvement are also specialties in the BI analyst’s domain. So far, so good.
But what exactly does a BI analyst do? The BI analyst emphasizes mainly analyses and reporting of past historical data. Once the pertinent data is in the hands of the BI Analyst (that’s monthly revenue, customer, sales volume, etc.), they must quantify the observations, calculate KPIs, and assess the gauges to extract insights.
Of course, the most important facet of a BI analyst’s job is to continually enhance their company’s robust positioning. Therefore, they evaluate their competitors, data trends, seasonality, and other random effects to promptly identify issues and best practices.
On top of that, they build killer graphs and dashboards to review major decisions and measure effectiveness. So, in a word, if you want to have a consequence on the business world, become a BI analyst. Well, maybe that’s simpler said than done.
BI Course Duration and Fees:
There are several courses available online on different websites some of them offering free courses and others charging an amount to pursue BI courses.
You must choose a reputed and valid website to complete Business Intelligence courses. BI course fees vary on where you take up the course either online or offline.
Also, BI course duration depends on what course you are taking up and in which mode, and also in which university.
Udemy: This online learning website offers various excursions under the classification of Business Intelligence. Some of its Business Intelligence (BI) courses and their costs are:
Business Intelligence (BI) Courses |
Price |
SQL- MySQL for data analytics and business management |
INR 9,280 |
Microsoft Power BI |
INR 8,640 |
SQL for data analytics |
INR 8,640 |
Coursera: This platform has Lots of business intelligence courses with certificates that you can pursue to develop a career in BI. A few of these courses and costs are:
Business Intelligence (BI) Courses |
Price |
Data warehousing for business intelligence |
Free |
Advanced Business Analytics |
Free |
Business Intelligence concept, tools, and applications |
Free |
Edx: This is a platform offering various online courses on different topics and subtopics.
It also offers courses on Business Intelligence such as:
Business Intelligence (BI) Courses |
Price |
Marketing analytics |
Cost: INR 65,960 |
Data science for executives |
Cost: INR 19, 669 |
Statics and data science |
Cost: INR 99, 337 |
School of Management Studies
Indian Institute of Management
Indian School of Business
Symbiosis Center for Management and Human Resource Development
Indian Institute of Management:
Galgotias University:
Welingkar and WIMDR:
Great Lakes Institute of Management:
Lal Bahadur Shastri Institute of Management
Well, if you’re fresher in the profession (with 1 year of experience or less), you can get $66,000 on average pay. Once you’ve progressed a few years of knowledge and you’ve honed your persuasion skills, your annual pay can be $79,000 (plus a $5,185 bonus).
Do you want to work across the brine? That’s alright! An entry-level BI analyst in the UK can anticipate receiving an average total salary of £26,000. And, 1-4 years of experience will grant you a total compensation of £29,000.
But, if you want to certainly stand out of the crowd, there’s one more confidential component you should add to your BI analyst capabilities - soft skills.
You’ll need that too will be included in the BI course:
Incorporate those with a fast awareness of other people’s desires and You’re moving right on top of any data science company’s recruitment directory!
The Business Intelligence course includes 10 modules. Each of these modules needs 2 hours of teaching.
The 10 modules are detailed below:
Overview of BI concepts: This first module of the course explains the basic concepts of Business Intelligence. This module describes and demonstrates the application of BI using Excel, SQL, server reporting services, power BI and tableau.
Front-end art: This module explains the design of BI front-end applications. It also explains BI standardization and helps to improve the quality of development of BI and helps one to choose the right tool for the right group of users.
Architecture and Process: Classical data warehouse and BI architecture frameworks are introduced in this module. After this BI development process is explained on the basis of Kimball's project approach. Both Kimball's BUS and Immon's CIF are explained in pros and cons.
Governance: This module explains the influence of the governance model on the success of BI applications. It also explains different organization practices around BI in detail. It also explains the concept of data governance and introduces its five keys.
Also, real-world examples make this module more understandable in terms of the application of BI in different organizations.
Understanding Data: This module gives detailed information on data and data models. This model dives into entity-relationship data modeling. This lesson also focuses on dimensional modeling techniques. This module ends with the introduction of OLAP cube models and other types of data models in BI applications.
Data Processing: This model brings into light concepts of data integration technique and the concept of ETL in BI application. The next topic in this lesson is the development, deployment, and maintainability of ETL programs.
Self-service BI: This module explains self-service BI and how can self-service business intelligence help an organization. The first topic is the definition, tools, and requirements of BI self-service.
Big data cloud: This module establishes a connection between big data cloud, cloud computing, and BI self-services. It starts with the definition and justification of big data and the rest part is based on cloud computing and essential features of the cloud.
Data science: The concept, process, and typical tools in data science are introduced in this module. This module also consists of exercises that make use of Excel and R on histograms, regression, clustering, and text analysis.
Getting deep into BI life cycle: This lecture totals all knowledge of previous modules using sum mock cases. Also, this module expresses the whole life cycle of data starting from source to analyzer, modeled, transformed, presented, owned, maintained, and managed in the BI lifecycle.
Business Intelligence (BI) course is an in-demand course of this generation that has huge demand in the future and has great career opportunities. If you wish to join this course, Best of Luck! Choose a University wisely and type of course too.
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