Learn Business Intelligence Analyst tools and techniques with LSET Industry Expert
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.
![]() |
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 admission@lset.uk today. |
Explore Now |
Evaluate each option based on how well it fits with your goals and aspirations within the tech industry
*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.
The Business Intelligence Analyst Certification course at LSET equips you with crucial skills for success in business intelligence and data analysis. This thorough course combines theory and practice, preparing you to address real business challenges using advanced tools and methods.
Through practical sessions, projects, and internships, you’ll master data collection, cleansing, analysis, and visualisation to drive informed business choices. The programme covers key business intelligence concepts, including data warehousing, online analytical processing (OLAP), and interface design, providing a comprehensive understanding of the BI process.
With flexible durations from 2 weeks to 12 months, you can customise your learning to suit your timetable and career aspirations. Upon completion, you’ll be well-prepared for roles such as Business Intelligence Analyst, BI Project Manager, BI Developer, and more.
The programme offers comprehensive training in the following technologies and tools:
Data Science Fundamentals: Introduction to core data science principles and methodologies.
Database Theory: Exploring databases, data warehousing, and data modelling techniques.
SQL: Developing proficiency in SQL for effective database management and querying.
Tableau: Mastering data visualisation and dashboard creation using Tableau.
Business Intelligence Tools: Examining various BI tools and their practical applications.
OLAP (Online Analytical Processing): Utilising OLAP for multi-dimensional data analysis.
Data Collection and Cleansing: Learning methods to gather and refine data for accuracy.
Data Transformation: Exploring techniques to convert raw data into valuable insights.
Data Visualisation: Crafting impactful visual representations to effectively communicate findings.
Agile Project Management: Applying agile methodologies for efficient BI project management.
CICD Pipeline: Implementing Continuous Integration and Continuous Delivery to streamline BI solution deployment.
Real-World Capstone Project: Applying acquired skills to a practical project, such as developing a basic online banking application, to build a technical portfolio.
1st January
1st February
1st March
1st April
1st May
1st June
1st July
1st August
1st September
1st October
1st November
1st December
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.
*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.
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.
Following are the steps involved in the LSET’s project-based learning;
Step 1: Project Idea Discussion
In this step, students get introduced to the problem and develop a strategy to build the solution.
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.
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.
Step 4: Unit and Integration Tests
In this step, students learn to write unit tests to ensure every application part works fine.
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.
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.
Start Your Journey to Becoming a Business Intelligence Analyst
LSET could provide the perfect headstart to start your career as Business Intelligence Analyst.
Disclaimer: All product names, logos, and brands are the property of their respective owners. All company, product and service names used in this website are for identification purposes only. Using these names, logos, and brands do not imply an endorsement or partnership.
Join global tech minds at LSET for a hands-on journey into AI & Machine Learning Innovation.
Limited Seats Sign Up Today!
This will close in 0 seconds