Business Intelligence Analyst

Course ID
BIA
Department
Software Engineering
Campus
1 Cornhill
Level
Certificate
Method
Lecture, Project
Duration
3 Months
Business Intelligence Analyst
Apply Now

Optional Add-on Programs

Job Guarantee Program

The Job Guarantee program is available only to candidates who enroll in Option 6 (Project and Industrial Training and Paid Internship Program + Pro Plan). It is important to note, however, that the Job Guarantee program has its own selection criteria, so not everyone may be considered for the program. To learn more about the Job Guarantee program, please visit Job Guaranteed Software Courses

Pro Plan Card

LSET PRO PLAN

Are you eager to enter the workforce fully prepared? Look no further than our LSET PRO PLAN! This is an add-on program that you can select during your course enrolment, it offers a personalised learning experience that helps you succeed in your course, build your technical portfolio, and advance your professional journey.
Curious about how to embark on this journey? Simply “click” here to learn more and kickstart your professional development with us!

Kick-start your career growth story with the Post Graduate Program in Business Analysis. With this program, learn how to tackle complex business problems using in-demand tools. Make the most of this business analysis course with Masterclasses from LSET.

Apply now to become a professional Business Intelligence Analyst

Are you looking for corporate training?
We tailor our courses to meet the specific needs of your team. If you would like to discuss your training requirements, please email [email protected] today.
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Java Course feature

Prerequisites have been met

Options
Topic
Add-On
Duration
Options
Option 1
Topic
Business Intelligence Analyst
Add-On
Duration
3 Months
Options
Option 2
Topic
Business Intelligence Analyst
Add-On
Project (Online)
Duration
5 Months
Options
Option 3
Topic
Business Intelligence Analyst
Add-On
Project (Online) &
Industrial Training and Paid Internship Program (Remote)
Duration
12 Months

Tuition Fees

Options
Course Pack
Home (UK) & International
Online
Home (UK)
Classroom
International
Classroom
Options
Option 1
Course Pack
Business Intelligence Analyst – (3 Months)
Home & International Online
Pay Upfront (with 20% Disc) : £1,860
Pay Per Module:
Number of Module: 2
Per Module Fee: £1,116
Home Classroom
Pay Upfront (with 20% Disc) : £3,660
Pay Per Module:
Number of Module: 2
Per Module Fee: £2,196
International Classroom
£6,060
Options
Option 2
Course Pack
Business Intelligence Analyst + Project (Online) – (5 Months)
Home & International Online
Pay Upfront (with 20% Disc) : £3,060
Pay Per Module:
Number of Module: 3
Per Module Fee: £1,224
Home Classroom
Pay Upfront (with 20% Disc) : £6,060
Pay Per Module:
Number of Module: 3
Per Module Fee: £2,424
International Classroom
£8,460
Options
Option 3
Course Pack
Business Intelligence Analyst + Project (Online) + Industrial Training and Paid Internship Program (Remote) – (12 Months)
Home & International Online
Pay Upfront (with 20% Disc) : £6,060
Pay Per Module:
Number of Module: 6
Per Module Fee: £1212
Home Classroom
Pay Upfront (with 20% Disc) : £13,260
Pay Per Module:
Number of Module:6
Per Module Fee: £2,652
International Classroom
£15,660
Options
Option 4
Course Pack
Business Intelligence Analyst + Pro Plan
Home & International Online
Pay Upfront (with 20% Disc) : £2,340
Pay Per Module:
Number of Module: 2
Per Module Fee: £1,404
Home Classroom
Pay Upfront (with 20% Disc) : £4,140
Pay Per Module:
Number of Module: 2
Per Module Fee: £2,484
International Classroom
£6,540
Options
Option 5
Course Pack
Business Intelligence Analyst + Project (Online) + Pro Plan
Home & International Online
Pay Upfront (with 20% Disc) : £3,540
Pay Per Module:
Number of Module: 3
Per Module Fee: £1,416
Home Classroom
Pay Upfront (with 20% Disc) : £6,540
Pay Per Module:
Number of Module: 3
Per Module Fee: £2,616
International Classroom
£8,940
Options
Option 6
Course Pack
Business Intelligence Analyst + Project (Online) + Industrial Training and Paid Internship Program (Remote) + Pro Plan
Home & International Online
Pay Upfront (with 20% Disc) : £6,540
Pay Per Module:
Number of Module: 6
Per Module Fee: £1,308
Home Classroom
Pay Upfront (with 20% Disc) : £13,740
Pay Per Module:
Number of Module: 6
Per Module Fee: £2,748
International Classroom
£16,140
   Note: Our Industrial Training and Internship program includes a guaranteed 6 months paid internship (from 10 hours to 40 hours per week) with a technology company. Due to visa restrictions, some international students may not be able to participate in this program.

LSET Business Intelligence & Data Analyst Certification Program will teach you the most important skills required to kickstart or advance your data analysis career. Learn how to use the most popular business intelligence tools and programming languages to explore, understand, and master data science.

Courses cover both BI and data science, helping you develop skills in all areas from data storage and collection to data transformation, data analysis and modeling, and data visualization.

You’ll learn best practices to apply to common scenarios, so you can perform like a star in your data role. We have developed case studies based on real-world requirements and datasets so you can practice applying your skills straight away. Start earning your certificate in data analytics and business intelligence today!

Complementary Workshops

Git Management

Agile Project Management

Agile Project Management

Team Building

Personality Development

Interview Preparation

Course Information

Course Intakes

September

End: December

January

End: April

May

End: August

Entry Criteria

  • If a potential student’s first language is not English, they must also reach the English Language requirements of either any one of the following - IELTS 5.5 or NCC Test or GCE “O” Level English C6.
  • Basic proficiency with computers
  • Have access to personal laptop
  • Ability to complete assignments on time
  • Ability to work in Group

Course Highlights

  • Hands-on Sessions
  • Project-based Learning
  • Live or Offline Capstone Project
  • Real world development experience
  • Industry Mentors
  • Interactive Teaching Methodologies

Evaluation Criteria

  • 18 Coding exercises
  • 5 Assignments
  • 5 Quizzes
  • Capstone Project
  • Group activities
  • Presentations

Learning Objectives

  • Understanding Business Intelligence
  • The Spectrum of Business Intelligence
  • Business Intelligence User Interfaces
  • On-Line Analytical Processing (OLAP)
  • What’s Next?
  • Business Intelligence: Is It for You?
  • The Bottom Line
  • Business Intelligence Technology Counterparts

Weekday Batches

Batch 01
09:00 am – 11:00 am
(Tue, Thu)

Batch 02
12:00 pm – 02:00 pm
(Tue, Thu)

Batch 03
03:00 pm – 05:00 pm
(Tue, Thu)

Batch 04
05:30 pm – 07:30 pm
(Tue, Thu)

Weekend Batches

Batch 01
08:00 am – 10:00 am
(Sat, Sun)

Batch 02
10:00 am – 12:00 pm
(Sat, Sun)

Hands-on Workshops

Interview Preparation

CV Preparation

Personality Development

Join Now

Join the LSET Business Intelligence Analyst Certificate course. Marketing without data is like driving with your eyes closed. Business Intelligence Analysts use data to figure out market and business trends for companies to increase profits and efficiency.

Apply Now

Course Content

Browse the LSET interactive and practical curriculum

Introduction

  • Course Introduction
  • How to make the best of this course
  • Course Induction

Understanding Business Intelligence

  • The Challenge of Decision Making
  • What Is Business Intelligence?
  • The Business Intelligence Value Proposition
  • The combination of Business and Technology

Business Intelligence Technology Counterparts

  • Data Warehousing
    • What Is a Data Warehouse?
    • Data Marts and Analytical Data
    • Organization of the Data Warehouse
  • Enterprise Resource Planning
    • Distributing the Enterprise
    • First ERP, then Business Intelligence
    • The Current State of Affairs
  • Customer Relationship Management
    • CRM, ERP, and Business Intelligence
    • Customer Decisions
    • Decisions About Customers
  • Business Intelligence and Financial Information

The Spectrum of Business Intelligence

  • Enterprise and Departmental Business Intelligence
  • Strategic and Tactical Business Intelligence
  • Power and Usability in Business Intelligence
  • Finding the Right Spot on the Continuum
  • Business Intelligence: Art or Science?

Business Intelligence User Interfaces

  • Querying and Reporting
  • Reporting and Querying Toolkits
  • Basic Approaches
    • Building Ad-Hoc Queries
    • Building On-Demand Self-Service Reports
    • Enhancing and Modifying
  • Data Access
    • Pull-Oriented Data Access
    • Push-Oriented Data Access
  • Dashboards
    • EIS Is the Engine
    • Metric System and KPIs
    • Business Intelligence Dashboards
  • Briefing Books

On-Line Analytical Processing (OLAP)

  • What Is OLAP?
    • OLAP and OLTP
    • Operational Data Stores
    • Variations in Data and Approach
  • OLAP Applications and Functionality
  • Multi-Dimensions
    • Thinking in More Than Two Dimensions
    • What Are the Possibilities?
    • Drilling and Pivoting
  • OLAP Architecture
    • Cubism
    • Tools
    • ROLAP
    • MOLAP
    • HOLAP
  • Data Mining
    • What Is in the Mine?
    • Start with a Question
    • Examples

What’s Next?

  • Visualization
    • The Basics
    • Unconstrained Views
  • Guided Analysis
    • The Business Intelligence Two-Step
    • How to Guide the Guides
  • Handling Unstructured Data
    • Identifying Photographs

Business Intelligence: Is It for You?

 
  • How Do You Know?
  • Customizing Business Intelligence
    • Start with Questions
    • What Good Is the Information?
  • The Business Intelligence Project Plan
    • Planning the Plan
    • Resources and Roles
    • Risk Management
    • Data Migration Issues
  • Human Factors
    • The Business Intelligence Technology Team
    • The Users Don’t Want It
    • What Is It For?
  • “Could Be” as Opposed to “Should Be”
  • Choosing the Right Size, Shape, and Cost
    • Architecture Alternatives
    • User-Oriented Architecture
  • Best Practices

The Bottom Line

  • Ideas to Use
  • Where to Go for More Information

*Modules of our curriculum are subject to change. We update our curriculum based on the new releases of the libraries, frameworks, Software, etc. Students will be informed about the final curriculum in the course induction class.

Having Doubts?

Contact LSET Counsellor

We love to answer questions, empower students, and motivate professionals. Feel free to fill out the form and clear up your doubts about our Business Intelligence Analyst Course.

Best Career Paths

Business Intelligence Analyst

Business Intelligence analyst studies and understands business processes, data warehouses, production systems, and departmental databases. They also use their knowledge of building Business Intelligence tools, projects, and BI solutions.

Business Intelligence Project Manager

A BI project manager reports all the data regarding business intelligence tools solutions. It is basically responsible for coordinating with all the internal departments and help build up BI solutions. They also improve solutions by identifying improvement areas in BI.

Business Intelligence Administrator

BI Administrators analyze, utilize and present data by working on the database management software. BI systems help to get an overview of customer behaviour, competition, and economic shifts.

SQL Server Business Intelligence

The SQL helps the user get access to data from every and any source in the world. It also helps in various collaborations.

BI Semantic Model

This model helps unify all the heterogeneous data using various tools and transforming them into BI solutions.

Business Intelligence Developer

BI developers come up with solutions as per the requirements of the clients. They also design software to support data integration necessities.

Top Companies Hiring Python Developers

Google

GOOGLE

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SKY

UBS

UBS

Metro Etro Bank

METRO BANK

Faculties & Mentors

Mayur Ramgir

Mayur Ramgir

Mentor Panel

Who Should Apply for this Course?

  • Beginners to programming and data science
  • Students eager to learn about job opportunities in the field of data science
  • Candidates willing to boost their resume by learning how to combine the knowledge of Statistics, SQL, and Tableau in a real-world working environment
  • SQL Programmers who want to develop business reasoning and apply their knowledge to the solution of various business tasks
  • People interested in a Business Intelligence Analyst career

About the Course

Hello! You've found the only course you need to become a Business Intelligence Analyst. 
We are excited to offer you this unique opportunity. Online courses teach some of the skills related to the BI Analyst profession. You won't be completely prepared by any of them.

Unlike other online resources, our program is unique.  
There is no doubt that it is comprehensive. There are several modules in the Business Intelligence Analyst Course:   
  • Data Science and Introduction to Data   
  • Statistics and Excel  
  • Database theory  
  • SQL
  • Tableau  
  • SQL + Tableau  

The Course Provides Shared Expertise by

LSET Trainers

LSET Trainers

Industry Experts

Industry Experts

Top Employers

Top Employers

Skills You will Gain

  • Flowchart
  • Learning about Strings
  • Operators
  • Lists
  • Tuples
  • Loop
  • Sets
  • Dictionaries
  • File Handling
  • Write/Create Files
  • Datetime
  • Nested Dictionaries

Complete Learning Experience

This course provides a hands-on, guided learning experience to help you learn the fundamentals practically.
  • We constantly update the curriculum to include the latest releases and features.
  • We focus on teaching the industry's best practices and standards.
  • We let you explore the topics through guided hands-on sessions.
  • We provide industry professional mentor support to every student.
  • We give you an opportunity to work on real world examples.
  • Work with hands-on projects and assignments.
  • We help you build a technical portfolio that you can present to prospective employers.

Reasons to Choose LSET

  • Interactive live sessions by industry experts.
  • Practical classes with project-based learning with hands-on activities.
  • International learning platform to promote collaboration and teamwork.
  • Most up-to-date course curriculum based on current industry demand.
  • Gain access to various e-learning resources.
  • One-to-one attention to ensure maximum participation in the classes.
  • Lifetime career guidance to get the students employed in good companies.
  • Free lifetime membership to the LSET Alumni Club

What Will Be Your Responsibilities?

  • Work creatively in a problem-solving environment.
  • Ask questions and participate in class discussions.
  • Work on assignments and quizzes promptly.
  • Read additional resources on the course topics and ask questions in class.
  • Actively participate in team projects and presentations.
  • Work with the career development department to prepare for interviews
  • Respond promptly to the instructors, student service officers, career development officers, etc.
  • And most importantly, have fun while learning at LSET.
Your Responsibilities

How Does Project-Based Learning Work?

LSET project-based learning model allows students to work on real-world applications and apply their knowledge and skills gained in the course to build high-performing industry-grade applications. As part of this course, students learn agile project management concepts, tools, and techniques to work on the assigned project collaboratively. Each student completes project work individually but is encouraged to enhance their solution by collaborating with their teammates.

Following are the steps involved in the LSET’s project-based learning;

  1. Step 1: Project Idea Discussion

    In this step, students get introduced to the problem and develop a strategy to build the solution.

  2. Step 2: Build Product Backlog

    This step requires students to enhance the existing starter product backlog available in the project. This helps students to think about real-life business requirements and formulate them in good user stories.

  3. Step 3: Design Releases and Sprints

    In this step, students define software releases and plan sprints for each release. Students must go through sprint planning individually and learn about story points and velocity.

  4. Step 4: Unit and Integration Tests

    In this step, students learn to write unit tests to ensure every application part works fine.

  5. Step 5: Use CICD to Deploy

    In this step, students learn to use CICD (Continuous Integration Continuous Delivery) pipeline to build their application as a docker image and deploy it to Kubernetes.

Capstone Project

LSET gives you an opportunity to work on the real world project which will greatly help you to build your technical portfolio

Project Topic: Online Banking

London has been a leading international financial centre since the 19th century. In recent years, London has seen many FinTech start-ups and significant innovations in the banking sector. This project aims to introduce students to the financial industry and technologies used to handle billions of daily transactions. As part of this project, students will learn the current technological advances and build up their knowledge to start a simple banking application. This application uses agile project management practices to build basic functionality. Students will be presented with user stories to create the initial project backlog. Students need to enhance this backlog by adding more relevant user stories and working on them.

LSET emphasises project-based learning as it allows the students to master the course content by going through near real-world work experience. LSET projects are carefully designed to teach the industry-required skills and mindset. It motivates the students on various essential aspects like learning to work in teams, improving communication with peers, taking the initiative to look for innovative solutions, enhancing problem-solving skills, understanding the end user requirements to build user-specific products, etc.

Capstone Projects build students’ confidence in handling projects and applying their newly learned skills to solve real-world problems. This allows the students to reflect upon their learning and find the opportunity to get the most out of the course. Learn more about Capstone Projects here.

Learning Outcome

  • Students will learn to work in an agile environment
  • Students will learn the agile project management terms used in the industry, like product backlog, user stories, story points, epics, etc.
  • Students will learn to use a Git repository and understand the concepts like commit, pull, push, branch, etc.
  • Students will learn to communicate in a team environment and effectively express their ideas.

Guidance and Help

A dedicated project coordinator who can mentor students on the process will be assigned to this project. Students can also avail of the instructor’s hours as and when needed. LSET may get an industry expert with subject-specific experience to help students understand the industry and its challenges.

Execution Process

This project will be carried out in steps. Each step teaches students a specific aspect of the subject and development paradigm. Following are the steps students will follow to complete this project.

Step 1: Project Introduction Self Study [6 days]

In the first step, students will learn about the financial industry and review the project introduction documentation to build up the subject knowledge. This is a self-learning stage; however, instructor hours are available if required.

Step 2: Project Build-up and Environment Setup [2 days]

In this step, students are required to follow the project guide to set up the development environment. The project document guides students to find and connect to the LSET Git repository and install the necessary libraries or tools.

Step 3: Product Backlog and Sprint Planning [2 days]

In this step, students will use the existing product backlog and enhance it per their project scope. Students can seek help from the project coordinator and the instructor. The project coordinator will help students do sprint planning and assign story points to the stories. This process is meant to give students real-world work environment experience. Students can consider this a mock exercise on agile project management practices.

Step 4: User Stories Execution and Development [12 days]

Students will work on the user stories identified in the Step 3 process in this step. Students will write code and algorithms to complete the development objectives. The project coordinator will be available to help students to guide them on the development and answer any questions they may have. Students can also discuss this with the instructor.

Step 5: Testing, Deployment and Completion [5 days]

In this step, students will test and deploy the application to the cloud environment. Students will experience the deployment process in the cloud and learn the best practices. After the successful deployment, students will present their project to the instructor and the external project reviewer. Feedback will be given to the students. Students will have one week to work on the feedback and submit the final copy of the project, which will be sent to the external examiner for evaluation.

Project Presentation

LSET emphasises preparing students for the work environment by allowing them to learn the required soft skills. After completing the project, students must present their work to the instructor and an invited project reviewer panel. Please note that the assigned external examiner will not be part of this panel and hence will not know about the students. This ensures an unbiased assessment by the external examiner. This exercise aims to allow students to experience an environment they may face in their actual job. Also, it gives them a chance to get feedback from industry experts who can guide students on various parts of the project. This will help students to learn and fix anything they find necessary in their project. This ensures quality output and allows students to learn about industry requirements.

The instructor and the project reviewer panel will assess the students on the following;

Project Repository on GitHub [10 points]: The instructor will ensure that the students have uploaded the project repository to the LSET’s GitHub account per the guidelines in the project requirement documentation. Full points will be awarded if the repository is appropriately set up per the instructions.

Presentation Skills [20 points]: Students must present their work in the given timeframe. Full points will be awarded if students cover everything needed to deliver their work in the given timeframe.

Communication Skills [20 points]: Students must present their work in a manner understandable by all the participants. More focus will be given to how students communicate, not the language. Full points will be awarded if students can share their work correctly.

Evaluation Criteria

LSET promotes a transparent and unbiased evaluation process. All the external examiners will follow a set process to grade students. No student’s personal or identifying information will be shared with the external examiners, so they will not know about the person they are grading. They will only get the project files and grading guidelines to follow. This will ensure equal quality standards across the institute.

Following are some critical areas the LSET external examiners will be grading on.

Project Documentation [10 points]: Project documentation is filed correctly with the information which can be used to understand the project work. Students can use the supplied project documentation template to fill up the data. External examiner to confirm if all the information is filled up. Full points will be awarded if all the sections are covered.

Project Structure [10 points]: Students must follow the proper structure while developing their projects. This structure is being taught and covered in the project requirement documentation. External examiner to confirm if the project files are correctly structured. Full points will be awarded if the structure meets the given guideline.

Solves Basic Problem [50 points]: Students must ensure that they implement all the requirements in the project documentation. External examiner to confirm if the project solves the given problem. Full points will be awarded if the students include everything asked in the project requirement.

Innovation [20 points]: Students are encouraged to bring new ideas into their development. They can improve the design, use new design patterns, code with a better coding style, or add a feature. External examiner to confirm if the students have added more than the requirement to improve the design or solution. The new addition must include a new feature and should not be similar to the requirements given. Full points will be awarded if the external examiner finds an innovation or see students going beyond the asked requirements.

Best Practices [20 points]: Students must follow the best practices in their development. This will help them to become a quality resource for their prospective employer. External examiner to confirm if the supplied best practices are followed in the project. Full points will be awarded if the best practices are properly implemented.

Performance Consideration [20 points]: Students must consider performance while working on their projects. Performance is one of the critical industry requirements. External examiner to confirm if the student thought the performance improvements in the project. Full points will be awarded if the external examiner sees efforts taken to consider performance aspects in the development.

Security Structure [20 points]: Students need to consider the security aspect If applicable in the design and development. External examiner to confirm if the security consideration is appropriate in this project; if it is applicable, the examiner to verify if the student has considered the security elements in the project. Full points will be awarded if the external examiner sees efforts taken to assess the security aspect of the development.

Benefits of LSET Certificate

Earning the LSET Certificate means you have demonstrated hard-working capabilities and learnt the latest technologies by completing hands-on exercises and real-world projects.

Following are some of the traits employers can trust you have built up through your course;
  • You know how to work in a team environment and communicate well.
  • You know the tools which are necessary for your desired job.
  • You know how to use the latest technologies to develop technologically advanced solutions.
  • You have developed problem-solving skills to navigate complex problem scenarios and find the right solutions.
  • You are now ready to take on the challenge and help your prospective employer to build the desired solutions.
Benefits of LSET Certificate
What to expect after completing the course

What to expect after completing the course?

After earning your certificate from LSET, you can join the LSET’s Alumni club. There are countless benefits associated with the Alumni Club membership. As a member of LSET Alumni, you can expect the following;
  • LSET to hold your hand to find a successful career
  • Advice you on choosing the right job based on your passion and goals
  • Connect you with industry experts for career progression
  • Provide you opportunities to participate in events to keep yourself updated
  • Provide you with a chance to contribute to the game-changing open-source projects
  • Provide you with a platform to shine by allowing you to speak at our events

Tools & Technologies You Will Learn from This Course

SQL

SQL

GIT

Git

JIRA

Python

Python

Tableau

Register Now!

Start Your Journey to Becoming a Business Intelligence Analyst

LSET could provide the perfect headstart to start your career as Business Intelligence Analyst.

Apply Now

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