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AI/ML
Artificial Intelligence (AI) enables machines to mimic human intelligence. Machine learning (ML),a subset of AI, allows systems to learn from data and improve over time without explicit programming.
With the Help of Our Courses, You Will Be Able To:
✔️ Basics of AI and Machine Learning
✔️ Building and training ML models
✔️ Real-world applications across industries
✔️ Ethical use of AI technologies
Course Prerequisites
COMING SOON!!
What is Business Analytics?
Difference Between Business Intelligence (BI) & Business Analytics
Role of a Business Analyst vs. Data Analyst vs. Data Scientist
Key BA Responsibilities in Different Industries
Types of Analytics
Descriptive Analytics (Historical Data Analysis)
Diagnostic Analytics (Root Cause Analysis)
Predictive Analytics (Forecasting & Modeling)
Prescriptive Analytics (Decision Optimization)
Software Development Life Cycle (SDLC) & Business Analyst’s Role
Agile vs. Waterfall: When to Use Which?
Scrum & Kanban Overview
Agile Artifacts & Business Analyst’s Role in Agile
Product Backlog, Sprint Planning, Daily Stand-ups, Retrospectives
User Stories, Epics, Acceptance Criteria
Stakeholder Management & Requirement Gathering Techniques
Interviews, Brainstorming, Joint Application Development (JAD)
Surveys, Workshops, Focus Groups
Feasibility Analysis & Risk Assessment
Business Requirement Document (BRD): Business goals, scope, stakeholder expectations
Functional Requirement Document (FRD): System functionality, business rules
Software Requirement Specification (SRS): Detailed technical specifications
Use Cases & User Stories: Writing clear, actionable business needs
Process Flow Diagrams & Business Models: BPMN, UML diagrams
Test Cases & UAT Scenarios: Writing User Acceptance Testing (UAT) scripts
Hands-on with Documentation Tools
Lucidchart – Process Flows, UML, Business Process Modeling Notation (BPMN)
Microsoft Visio – Entity-Relationship (ER) Diagrams & System Architecture
Confluence – Project Documentation & Collaboration
JIRA – Managing Agile Backlogs, Creating Epics & User Stories
Understanding Databases & Data Warehouses
SQL Basics: SELECT, WHERE, GROUP BY, ORDER BY
Advanced SQL Concepts
Joins (INNER, LEFT, RIGHT, FULL)
Common Table Expressions (CTEs)
Window Functions (RANK, ROW_NUMBER, LEAD, LAG)
Writing Queries for Business Reports
Case Studies: Writing SQL Queries for Business Decisions
Excel for Business Analysis: Pivot Tables, VLOOKUP, Data Cleaning
Power BI / Tableau
Data Import & Transformation
Building Interactive Dashboards
DAX Functions & Calculated Fields
Retail Analytics: Customer Segmentation, Demand Forecasting
Healthcare Analytics: Claims Processing, Fraud Detection
Financial Analytics: Risk Analysis, Credit Score Prediction
Supply Chain Analytics: Inventory Optimization, Logistics Analytics
JIRA
Creating & Managing Epics, User Stories, Tasks
Writing Acceptance Criteria
Setting Up Agile Workflows
Confluence
Documenting Requirements & Linking JIRA Issues
Creating Wiki Pages for Projects
Lucidchart & Visio:
Creating Process Flow Diagrams
Designing ER Diagrams
Resume Writing for Business Analyst & Data Analyst Roles
Behavioral & Technical Interview Questions
Case Study-Based Questions
Mock JIRA & SQL Challenges
Curriculum
40-50 Lectures
COMING SOON!!