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
Skills we aim to impart:
Upcoming sessions
Evolution of Data Analytics
Modern Analyst vs Traditional Analyst
AI-Powered Decision Intelligence
Data-Driven Business Culture
Understanding Business KPIs
Business Problem Solving Frameworks
Analytics Lifecycle
Introduction to AI in Analytics
Responsible AI Fundamentals
ChatGPT
Copilot
Claude
Excel Interface & Modern Workflows
Data Cleaning Techniques
Data Validation
Advanced Formulas
XLOOKUP
INDEX-MATCH
IF Logic
PivotTables & PivotCharts
Power Query Basics
Dashboard Development
Business Reporting Automation
SQL Fundamentals
Filtering & Sorting
Joins
Aggregations
Subqueries
Common Table Expressions (CTEs)
Window Functions
Query Optimization
Business Data Extraction
Reporting Logic
Power BI Ecosystem
Data Import & Connectivity
Power Query
Data Transformation
Relationship Management
Data Modeling Basics
Star Schema Foundations
Data Modeling Best Practices
Star vs Snowflake Schema
Measures vs Calculated Columns
DAX Fundamentals
Time Intelligence
KPI Calculations
Context Transition
Advanced DAX
Performance Optimization
Dashboard Design Principles
Executive Reporting
KPI Storytelling
Drillthrough Features
Interactive Analytics
Mobile Dashboard Optimization
Smart Narratives
AI Visuals
Business Presentation Techniques
Power BI Service
Workspaces
Publishing Reports
Data Refresh
Row-Level Security
Collaboration Features
Governance Basics
Deployment Pipelines
Microsoft Fabric Overview
OneLake Concepts
Lakehouse Architecture
Fabric Dataflows
Semantic Models
Real-Time Analytics
Fabric + Power BI Integration
Enterprise Analytics Architecture
Data Governance Fundamentals
Azure Analytics Ecosystem
Snowflake Overview
Databricks Overview
BigQuery Overview
dbt Awareness
Prepare Data
Model Data
Visualize Data
Analyze Data
Deploy & Maintain Assets
Business Analysis Foundations
Introduction to Business Analysis
Understanding the Business Analyst Role
Business Analyst Career Path
Core Competencies of a Business Analyst
Business Functions
Business Models & Revenue Streams
Customer Value
KPIs and Business Objectives
Analytical Thinking & Problem Solving
Problem Identification
Root Cause Analysis
Decision-Making Frameworks
Business Case Analysis
Stakeholder Management & Communication
Stakeholder Identification
Stakeholder Mapping
Business Communication Techniques
Business Meetings & Workshops
Conflict Resolution Strategies
Requirements Engineering
Requirement Types
Requirement Elicitation Techniques
Requirement Validation
Requirement Challenges
Documentation Fundamentals
BRD Structure
Functional Specifications
User Stories
Acceptance Criteria
Business Process Analysis
Business Process Mapping
As-Is Analysis
To-Be Analysis
Gap Analysis
Process Improvement Opportunities
Agile Business Analysis & Product Ownership
Agile Fundamentals
Scrum Framework
Agile BA Role
Story Mapping
Backlog Management
Product Vision
Product Roadmaps
Prioritization Techniques
Data-Driven Business Analysis
Data-Driven Decision Making
KPI Analysis
Business Reporting & Dashboards
Solution Evaluation
Business Outcomes
User Acceptance Testing
Continuous Improvement
Jira
Lucidchart
Business Analysis Frameworks
Industry Best Practices
Descriptive Analytics
Diagnostic Analytics
Forecasting Concepts
Correlation Analysis
Business Statistics
Probability Concepts
Hypothesis Testing
A/B Testing
Predictive Analytics Foundations
Introduction to LLMs
Prompt Engineering for Analysts
AI Research Workflows
AI-Powered Reporting
AI Dashboard Narratives
Chat-with-Data Systems
AI Agents Basics
Workflow Automation
Responsible AI
AI Hallucination Validation
ChatGPT
Claude
Copilot
Conduct stakeholder and business needs analysis
Gather and validate business requirements
Create process maps and gap analyses
Develop user stories and product backlogs
Analyze business data and KPI performance
Build executive dashboards and reports
Support UAT and solution evaluation activities
Present business recommendations and transformation roadmaps
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.
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.
The sandbox environment enables participants to evaluate how automation can improve reporting accuracy, stakeholder visibility, and business decisionmaking effectiveness.
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.
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
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
Overall ratings by our students
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:
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:
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:
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:
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.
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