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Business Analyst Course

Business Analyst career acceleration in 85 hours

Hands-on training across Excel, SQL, Power BI, Tableau & Microsoft Fabric

AI-powered Business Analysis & Reporting with Automation Sandbox

Enterprise Digital Transformation simulation with stakeholder & KPI analysis

Capstone project with real-world business scenarios & dashboards

Flexible learning modes & easy payment options

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6525 EnrolledEnrolled Learners

Overview

Skills we aim to impart:

  • Master Excel, SQL, Power BI, Tableau, and business analytics tools
  • Build dashboards, reports, and real-world data analysis projects
  • Learn SQL querying, DAX, and business intelligence techniques
  • Work on industry-based simulations and business case studies
  • Develop job-ready skills in reporting, stakeholder management, and decision-making

Upcoming sessions

Curriculum

1

Evolution of Data Analytics

2

Modern Analyst vs Traditional Analyst

3

AI-Powered Decision Intelligence

4

Data-Driven Business Culture

5

Understanding Business KPIs

6

Business Problem Solving Frameworks

7

Analytics Lifecycle

8

Introduction to AI in Analytics

9

Responsible AI Fundamentals

10

ChatGPT

11

Copilot

12

Claude

AI Integration

AI Integration

  • Analyze business KPIs and performance drivers
  • Generate AI-assisted business insights and recommendations
Activities/Case Study

Activities/Case Study

  • Business Decision Simulation
1

Excel Interface & Modern Workflows

2

Data Cleaning Techniques

3

Data Validation

4

Advanced Formulas

5

XLOOKUP

6

INDEX-MATCH

7

IF Logic

8

PivotTables & PivotCharts

9

Power Query Basics

10

Dashboard Development

11

Business Reporting Automation

AI Integration

AI Integration

  • Copilot for Excel
  • AI-Assisted Formula Generation
  • AI-Powered Reporting
  • Natural Language Data Analysis
Activities/Case Study

Activities/Case Study

  • Sales KPI Tracker
1

SQL Fundamentals

2

Filtering & Sorting

3

Joins

4

Aggregations

5

Subqueries

6

Common Table Expressions (CTEs)

7

Window Functions

8

Query Optimization

9

Business Data Extraction

10

Reporting Logic

AI Integration

AI Integration

  • Natural Language to SQL
  • AI-Assisted Query Writing
  • Query Optimization using AI
  • AI Debugging Workflows
Activities/Case Study

Activities/Case Study

  • Sales Intelligence Reporting
1

Power BI Ecosystem

2

Data Import & Connectivity

3

Power Query

4

Data Transformation

5

Relationship Management

6

Data Modeling Basics

7

Star Schema Foundations

AI Integration

AI Integration

  • Analyze data quality and transformation opportunities
  • Generate reporting insights from imported datasets
Activities/Case Study

Activities/Case Study

  • Data Cleaning Workflow
1

Data Modeling Best Practices

2

Star vs Snowflake Schema

3

Measures vs Calculated Columns

4

DAX Fundamentals

5

Time Intelligence

6

KPI Calculations

7

Context Transition

8

Advanced DAX

9

Performance Optimization

AI Integration

AI Integration

  • AI-Assisted DAX Generation
  • Copilot for Power BI
  • DAX Optimization using AI
Activities/Case Study

Activities/Case Study

  • Procurement Intelligence Dashboard
1

Dashboard Design Principles

2

Executive Reporting

3

KPI Storytelling

4

Drillthrough Features

5

Interactive Analytics

6

Mobile Dashboard Optimization

7

Smart Narratives

8

AI Visuals

9

Business Presentation Techniques

AI Integration

AI Integration

  • Generate executive dashboard narratives
  • Support business storytelling and insight communication
Activities/Case Study

Activities/Case Study

  • Country-Level Performance Dashboard
1

Power BI Service

2

Workspaces

3

Publishing Reports

4

Data Refresh

5

Row-Level Security

6

Collaboration Features

7

Governance Basics

8

Deployment Pipelines

AI Integration

AI Integration

  • Monitor dashboard usage and reporting performance
  • Support governance and deployment decisions
Activities/Case Study

Activities/Case Study

  • Secure Dashboard Sharing
1

Microsoft Fabric Overview

2

OneLake Concepts

3

Lakehouse Architecture

4

Fabric Dataflows

5

Semantic Models

6

Real-Time Analytics

7

Fabric + Power BI Integration

8

Enterprise Analytics Architecture

9

Data Governance Fundamentals

10

Azure Analytics Ecosystem

11

Snowflake Overview

12

Databricks Overview

13

BigQuery Overview

14

dbt Awareness

AI Integration

AI Integration

  • Analyze enterprise data architecture requirements
  • Support modern analytics platform design decisions
Activities/Case Study

Activities/Case Study

  • Enterprise Reporting Architecture Design
1

Prepare Data

2

Model Data

3

Visualize Data

4

Analyze Data

5

Deploy & Maintain Assets

Activities/Case Study

Activities/Case Study

  • Enterprise Reporting Scenarios
1

Business Analysis Foundations

2

Introduction to Business Analysis

3

Understanding the Business Analyst Role

4

Business Analyst Career Path

5

Core Competencies of a Business Analyst

6

Business Functions

7

Business Models & Revenue Streams

8

Customer Value

9

KPIs and Business Objectives

10

Analytical Thinking & Problem Solving

11

Problem Identification

12

Root Cause Analysis

13

Decision-Making Frameworks

14

Business Case Analysis

15

Stakeholder Management & Communication

16

Stakeholder Identification

17

Stakeholder Mapping

18

Business Communication Techniques

19

Business Meetings & Workshops

20

Conflict Resolution Strategies

AI Integration

AI Integration

  • Analyze stakeholder needs and business challenges
  • Generate stakeholder communication plans and business analysis insights
Activities/Case Study

Activities/Case Study

  • Business Transformation Stakeholder Alignment Project
1

Requirements Engineering

2

Requirement Types

3

Requirement Elicitation Techniques

4

Requirement Validation

5

Requirement Challenges

6

Documentation Fundamentals

7

BRD Structure

8

Functional Specifications

9

User Stories

10

Acceptance Criteria

11

Business Process Analysis

12

Business Process Mapping

13

As-Is Analysis

14

To-Be Analysis

15

Gap Analysis

16

Process Improvement Opportunities

AI Integration

AI Integration

  • Generate requirements documentation and user stories
  • Analyze process gaps and recommend improvement opportunities
Activities/Case Study

Activities/Case Study

  • Enterprise Process Optimization Initiative
1

Agile Business Analysis & Product Ownership

2

Agile Fundamentals

3

Scrum Framework

4

Agile BA Role

5

Story Mapping

6

Backlog Management

7

Product Vision

8

Product Roadmaps

9

Prioritization Techniques

10

Data-Driven Business Analysis

11

Data-Driven Decision Making

12

KPI Analysis

13

Business Reporting & Dashboards

14

Solution Evaluation

15

Business Outcomes

16

User Acceptance Testing

17

Continuous Improvement

18

Jira

19

Lucidchart

20

Business Analysis Frameworks

21

Industry Best Practices

AI Integration

AI Integration

  • Generate product backlog items and Agile documentation
  • Support solution evaluation and KPI-driven business decision-making
Activities/Case Study

Activities/Case Study

  • Digital Transformation Discovery Project
1

Descriptive Analytics

2

Diagnostic Analytics

3

Forecasting Concepts

4

Correlation Analysis

5

Business Statistics

6

Probability Concepts

7

Hypothesis Testing

8

A/B Testing

9

Predictive Analytics Foundations

AI Integration

AI Integration

  • AI-Powered Forecasting
  • Automated Statistical Interpretation
  • AI-Assisted Business Insights
Activities/Case Study

Activities/Case Study

  • Customer Trend Analysis
1

Introduction to LLMs

2

Prompt Engineering for Analysts

3

AI Research Workflows

4

AI-Powered Reporting

5

AI Dashboard Narratives

6

Chat-with-Data Systems

7

AI Agents Basics

8

Workflow Automation

9

Responsible AI

10

AI Hallucination Validation

11

ChatGPT

12

Claude

13

Copilot

AI Integration

AI Integration

  • Build AI-powered business analysis assistants
  • Automate reporting, documentation, and insight generation
Activities/Case Study

Activities/Case Study

  • AI-Powered Business Analytics Workflow
1

Conduct stakeholder and business needs analysis

2

Gather and validate business requirements

3

Create process maps and gap analyses

4

Develop user stories and product backlogs

5

Analyze business data and KPI performance

6

Build executive dashboards and reports

7

Support UAT and solution evaluation activities

8

Present business recommendations and transformation roadmaps

1

Participants operate within a simulated enterprise business analysis environment where multiple departments generate large volumes of operational, financial, customer, and performance data requiring continuous monitoring and decision support.

2

Working as Business Analysts, participants design automated reporting workflows using Excel, SQL, Power BI, Microsoft Fabric, and AI-enabled business analysis tools to streamline data collection, dashboard generation, KPI tracking, requirements documentation, and management reporting processes.

3

The sandbox environment enables participants to evaluate how automation can improve reporting accuracy, stakeholder visibility, and business decisionmaking effectiveness.

4

Participants leverage Generative AI, reporting automation techniques, analytics platforms, and business intelligence frameworks to automate requirement analysis, dashboard narratives, executive reporting, KPI interpretation, forecasting insights, and business documentation workflows.

5

Through practical experimentation and workflow optimization activities, participants build scalable automation solutions that support operational efficiency, data-driven decision-making, stakeholder communication, and enterprise transformation initiatives while maintaining governance, reporting quality, and business alignment

Meet your Trainer

Himanshu

Mr Himanshu is a highly experienced professional with over 20 years in leadership and IT. He specializes in academic management, quality assurance, and institutional compliance, managing licensing and approvals from awarding bodies like Pearson, Qualify, and regional authorities. With expertise in IT infrastructure, digital transformation, and training, Himanshu has served as a lecturer, director, and program leader. Certified in Cisco, Microsoft, and CompTIA technologies, he excels in managing IT operations, curriculum development, and delivering technical training in diverse, multicultural environments.

Core Competencies:

  • Leadership and Management
  • IT Infrastructure Expertise
  • Program Development Skills
  • Quality Assurance and Compliance
  • Staff Training and Mentoring
  • Technology Integration Proficiency
  • Networking and IT Solutions

Professional Qualifications:

  • Masters of Business Administration (MBA) Marketing & HRD
  • Master of Science
  • Bachelor of Science in Botany Honors
  • Currently studying for the MCIPS Certification from Chartered Institute, UK
  • CIPS Level 4 & CIPS Level 5 from Chartered Institute of Procurement & Supply, UK
  • CIPS Northern Emirates Committee Member- Education
  • Trainer, Learners Point Academy, Dubai

Learning Outcomes

By the end of this course, you will be able to:

  • 1

    Work with Excel for data cleaning, analysis, and reporting using advanced functions and tools

  • 2

    Write SQL queries to extract, filter, and analyse structured datasets from databases

  • 3

    Build interactive dashboards and reports using Power BI and Tableau, aligned with business KPIs

  • 4

    Apply DAX functions within Power BI to create calculated measures and data models

  • 5

    Understand business requirements and translate them into analytical solutions

  • 6

    Develop reports that support business decision-making across different domains

  • 7

    Communicate insights effectively to stakeholders using structured reporting techniques

  • 8

    Build a portfolio of analytics projects demonstrating practical business analysis skills

  • objective-image

    Ready to get started?

  • KHDA Certificate

    Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

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    Learners Point Certificate

    Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

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    Overall ratings by our students

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    Frequently asked questions

    The Business Analyst course is designed to build end-to-end analytical capability by combining tools, techniques, and business understanding. It covers Excel, SQL, Power BI, and Tableau, along with real-world applications.

    You will learn:

    • Data analysis and reporting using Excel
    • SQL for querying structured datasets
    • Dashboard creation using Power BI and Tableau
    • Business requirement analysis and KPI tracking

    The focus is not just on tools but on applying them in practical scenarios. By the end of the Business Analyst course, you will be able to work on real datasets, generate insights, and support decision-making processes in business environments.

    The Business Analyst course is aligned with current industry expectations, focusing on both technical and business skills required for analytics roles. It helps you understand how to approach business problems, work with data, and communicate insights effectively.

    In addition to learning tools, you gain exposure to real-world scenarios and structured workflows. This ensures that you are not just learning concepts but also developing the ability to apply them in practical situations, which is essential for securing roles in analytics.

    This training focuses on the most widely used tools in business analytics, ensuring you are industry-ready from a technical standpoint.

    You will work with:

    • Excel for data cleaning, reporting, and analysis
    • SQL for extracting and managing structured data
    • Power BI for building interactive dashboards
    • Tableau for data visualisation and storytelling

    In addition, the training introduces structured workflows that integrate these tools into a single analytics process. This helps you understand how data flows from extraction to visualisation, which is a critical skill in real-world business environments.

    The Business Analyst course is suitable for graduates, working professionals, and anyone looking to transition into analytics. It does not require a technical background, making it accessible to beginners as well. If you are interested in working with data, understanding business problems, and building analytical skills, this course provides a structured pathway. The learning approach ensures that even those starting from scratch can gradually build confidence and move toward advanced concepts.

    This training goes beyond theoretical learning by focusing on practical application through industry-relevant scenarios. You will work with datasets, build reports, and understand how analytics is used to support decision-making in organizations.

    The course structure reflects real workflows, allowing you to experience how data is analysed and presented in business settings. This practical exposure reduces the gap between learning and working, making it easier to adapt to real job environments.

    After completing the Business Analyst course, you can explore multiple roles across industries that rely on data-driven decision-making.

    Some common roles include:

    • Business Analyst
    • Data Analyst
    • Reporting Analyst
    • Business Intelligence Analyst

    These roles exist across sectors such as IT, finance, healthcare, and e-commerce. The Business Analyst course equips you with transferable skills, allowing you to adapt to different domains while working with data and business processes.

    Learners Point offers a practical Business Analyst certification program designed for entry-level professionals who want job-focused skills in Excel, SQL, Power BI, and Tableau. The 55-hour course includes case studies, industry simulations, hands-on dashboard projects, and an integrated reporting solution to help learners apply business analysis skills in real workplace scenarios.

    Yes, project-based learning is an essential part of this training. You will work on real-world scenarios where you apply the concepts and tools covered in the course. This includes analysing datasets, building dashboards, and solving business problems using structured approaches. These projects not only reinforce your learning but also help you build a portfolio that can be showcased during job applications, making your profile stronger and more credible.

    No prior coding or technical experience is required to join this program. The training starts with foundational concepts and gradually introduces tools and techniques in a structured manner. You will learn SQL from the basics and build your understanding step by step. The course is designed to ensure that beginners can comfortably follow along while still gaining advanced skills by the end of the program.

    The Business Analyst course stands out because it focuses on integrated learning rather than isolated tool training. It combines technical skills with business understanding and practical application.

    Key differentiators include:

    • End-to-end analytics workflow training
    • Industry simulations and real-world datasets
    • Exposure to AI-assisted analytics environments

    This approach ensures that you are not just learning tools but also understanding how to apply them in business contexts, making you more job-ready compared to traditional courses.

    Yes, the program includes structured career support to help you transition into analytics roles. **This support typically covers resume building, interview preparation, and guidance on presenting your skills effectively. **The focus is on ensuring that you are not only technically prepared but also confident in showcasing your abilities to employers. This significantly improves your chances of securing relevant job opportunities after completing the training.

    The duration of the training depends on the learning format and pace, but it is designed to ensure proper understanding rather than quick completion. The program balances conceptual learning with practical application, allowing enough time for projects and hands-on work. This ensures that you develop strong skills at each stage and are fully prepared to apply them in real-world scenarios after completing the course.

    Do you want to learn more about Learners Point Academy?

    • Learn more about courses
    • Understand about our methodology
    • Let’s talk about Corporate trainings
    • Anything else that you want to know, we are here for you!

    Let's chat!

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