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

Learning Business Intelligence Analyst will open doors for many career paths. After completing this course, you may want  to explore our specialised courses to secure a high paying job. Following courses will make you eligible to join our job guarantee program. Job guarantee is an optional add-on paid program which will help you to find a suitable job. Please visit our Job Guarantee page to know more about it.

Eligible Specialised programs to enroll after completing this course:

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
£1,550
Home Classroom
£3,050
International Classroom
£5,050
Options
Option 2
Course Pack
Business Intelligence Analyst + Project (Online) – (5 Months)
Home & International Online
£2,550
Home Classroom
£5,050
International Classroom
£6,050
Options
Option 3
Course Pack
Business Intelligence Analyst + Project (Online) + Industrial Training and Paid Internship Program (Remote) – (12 Months)
Home & International Online
£5,050
Home Classroom
£11,050
International Classroom
£13,050
   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

  • No prior programming knowledge
  • Basic proficiency with computers
  • Have access to personal laptop
  • Ability to complete assignments on time
  • Ability to follow instructions in English
  • Ability to work in Group
  • 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.

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 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.

Course Schedule

We offer weekday and weekend batch choices so you can up-skill yourself while keeping your full-time job. Both batches follow the same curriculum and learning style. However, weekend batches take a little faster approach.

Weekdays

Weekend

Weekdays Batch Schedule
DAY
MON
TUE
WED
THU
FRI

DAY
Week1

MON
  • Student Introduction
  • Course Introduction
  • How to make the best of this course
Student Services Welcome Call

TUE

WED
  • Student Introduction
  • Course Introduction
  • How to make the best of this course

THU

FRI

DAY
Week2

MON
  • Understanding Business Intelligence

TUE

WED
  • Understanding Business Intelligence
Quiz

THU

FRI

DAY
Week3

MON
  • Business Intelligence Technology Counterparts
Student Feedback

TUE

WED
  • Business Intelligence Technology Counterparts

THU

FRI
Assignment

DAY
Week4

MON
  • The Spectrum of Business Intelligence
Personality Development

TUE

WED
  • The Spectrum of Business Intelligence
Quiz

THU

FRI

DAY
MON
TUE
WED
THU
FRI

DAY
Week1

MON
  • Business Intelligence User Interfaces

TUE

WED
  • Business Intelligence User Interfaces

THU

FRI
Assignment

DAY
Week2

MON
  • Business Intelligence User Interfaces
Interview Preparation

TUE

WED
  • Business Intelligence User Interfaces
Quiz

THU

FRI

DAY
Week3

MON
  • On-Line Analytical Processing (OLAP)
Student Feedback
Project Introduction Self Study

TUE
Project Introduction Self Study

WED
  • On-Line Analytical Processing (OLAP)
Project Introduction Self Study

THU
Project Introduction Self Study

FRI
Assignment
Project Introduction Self Study

DAY
Week4

MON
  • What’s Next?
Interview Preparation
Project Introduction Self Study

TUE
Hands-on Workshops
Project Build-up and Environment Setup

WED
  • What’s Next?
Quiz
Project Build-up and Environment Setup

THU
Product Backlog and Sprint Planning

FRI
Product Backlog and Sprint Planning

DAY
MON
TUE
WED
THU
FRI

DAY
Week1

MON
  • Business Intelligence: Is It for You?
Interview Preparation
User Stories Execution and Development

TUE
User Stories Execution and Development

WED
  • Business Intelligence: Is It for You?
User Stories Execution and Development

THU
User Stories Execution and Development

FRI
Assignment
User Stories Execution and Development

DAY
Week2

MON
  • Business Intelligence: Is It for You?
Student Feedback
User Stories Execution and Development

TUE
Hands-on Workshops
User Stories Execution and Development

WED
  • Business Intelligence: Is It for You?
Quiz
User Stories Execution and Development

THU
User Stories Execution and Development

FRI
User Stories Execution and Development

DAY
Week3

MON
  • The Bottom Line
Interview Preparation
User Stories Execution and Development

TUE
User Stories Execution and Development

WED
  • The Bottom Line
Testing, Deployment and Completion

THU
Testing, Deployment and Completion

FRI
Assignment
Testing, Deployment and Completion

DAY
Week4

MON
  • The Bottom Line
Testing, Deployment and Completion

TUE
Testing, Deployment and Completion

WED
  • The Bottom Line

Testing, Deployment and Completion

THU
Capstone Project Presentation

FRI

 

 

Course Completion Session
Alumni Welcome Session
Awards Ceremony

Weekend Batch Schedule
DAY
MON
TUE
WED
THU
FRI
SAT
SUN

DAY
Week1

MON
Student Services Welcome Call

TUE

WED

THU

FRI

SAT
  • Student Introduction
  • Course Introduction
  • How to make the best of this course

SUN
  • Student Introduction
  • Course Introduction
  • How to make the best of this course

DAY
Week2

MON

TUE

WED

THU

FRI

SAT
  • Understanding Business Intelligence
Quiz

SUN
  • Understanding Business Intelligence

DAY
Week3

MON
Student Feedback

TUE

WED

THU

FRI

SAT
  • Business Intelligence Technology Counterparts

SUN
  • Business Intelligence Technology Counterparts
Assignment

DAY
Week4

MON
Personality Development

TUE

WED

THU

FRI

SAT
  • The Spectrum of Business Intelligence
Quiz

SUN
  • The Spectrum of Business Intelligence

*Course Schedule is subject to change. Students will be informed about the final schedule in the course induction class.

Assessment Methods

LSET follows strict uniform standards in assessing students’ performance during the certificate course. This ensures that the LSET certificate holders demonstrate high ethics and deep technical knowledge. Internal and external examiners will assess the students, while the platform will automatically evaluate the quizzes. Instructors are internal examiners who only assess students’ soft skills. At the same time, the external examiners are responsible for assessing students’ assessments and project work.

Internal Evaluation

Instructors only evaluate students on the following, contributing to 20% of the total score. The total points that can be earned are 100.
  • Punctuality [10 points]:Students are expected to show punctuality with their attendance, presence, and project/assignment submission time.
  • Dedication [10 points]:LSET expects the students to give attention and show dedication throughout the curriculum.
  • Time Management [10 points]:Students should show good time management by completing and submitting their assignments on time. Time management is crucial for students to prepare for the real work environment.
  • Attendance [10 points]:Minimum of 90% attendance is required unless a proper reason with evidence is provided. Attendance in LSET classes is important to ensure that the student has thoroughly learned the technical and non-technical concepts taught in the curriculum.
  • Working with Others (Teamwork) [10 points]:LSET teaches concepts in a collaborative environment where we expect each student to show teamwork and collaboration skills.
  • Problem-Solving Skills [10 points]:Students must demonstrate proper problem-solving skills. Students need to use the knowledge and skills gained in the course to solve real-world problems.
  • Class Participation [10 points]:Engagement and participation are crucial to ensure the interactive learning experience.
  • Communication Skills [10 points]:Students should display formal communication skills to communicate with their teammates. This prepares them for their future workplace.
  • Presentation Skills [10 points]:Students must show their presentation skills while working on their group projects and assignments to become more presentable.
  • Ability to ask Questions [10 points]:Students should ask relevant questions in the classes to encourage healthy discussion on technical topics.

External Evaluation

External examiners evaluate students on the following, contributing to 70% of the total score. The total points that can be earned are 250.
  • 5 Assessments [10 points per assessment]:These assessments are done entirely based on how the student has performed in understanding the lessons and concepts taught by the instructor.
  • 1 Capstone Project [200 points]:The capstone project is conducted at the end of the certificate course to practice all the practical concepts. Students must satisfy the criteria mentioned in the project requirement document to earn full points.

Auto Evaluation

Auto evaluation will be conducted via the platform, contributing 10% of the total score. The total points that can be earned are 50
  • 5 Quizzes [10 points per quiz]:Quizzes in a class ensure maximum participation and ensure that the students have learned the taught concepts with attention. Students will be presented with multiple-choice questions.

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.

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SKY

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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.

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.

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

GIT

Data Warehousing

GitHub

ETL Tools

gitlab

SQL

Python

Data Visualisation Tools

PyCharm

BI Platforms

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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