Industry Skills Online Live

Business Intelligence Analyst

This course enables you to walk out not just with knowledge — but with the confidence, skills, and real project experience to land a BI Analyst role.This course enables you to walk out not just with knowledge — but with the confidence, skills, and real project experience to land a BI Analyst role. You will be fully prepared to query and analyze data using SQL, build insightful dashboards, design data models, transform raw data into business insights, and deliver results from Day 1 on the job.

2 Months | 1.5 Hours/day Professional Tamil

What You'll Learn

  • Master SQL & Power BI for Professional BI AnalysisMaster SQL & Power BI for Professional BI Analysis
  • Build & Publish Enterprise-Level Reports and Dashboards
  • Design Optimized Data Models for Business Reporting
  • Analyze and Transform Data Using SQL for Business Insights
  • Deploy & Manage Reports via Power BI Service
  • Go from Job Seeker to Job-Ready BI Analyst

Requirements

  • Power BI Desktop (free)
  • A laptop/desktop with internet connection
  • Basic familiarity with Excel (recommended but not mandatory)
  • Suitable for both IT & Non-IT Professionals

Tools & Technologies

PostgreSQL PostgreSQL
Power BI Power BI

Course Description

A professionally designed, industry-aligned classroom program built exclusively for job seekers who are serious about becoming a Business Intelligence Analyst.

This course goes beyond basic dashboards and reports — it trains you to gather business requirements, analyze complex datasets, translate data into actionable insights, and communicate findings to stakeholders at every level — giving you the confidence to walk into any company and deliver strategic value from your very first day at work.

Right for You?

Who This Course is For

  • Fresh Graduates Looking to Start Their Career as a BI Analyst
  • Job Seekers Who Want to Go Beyond Basic Reports and Deliver Real Business Insights
  • Candidates Who Prefer Structured Online Learning with Live Mentor Support
  • Anyone Ready to Commit and Become a Job-Ready BI Analyst

Course Curriculum

14 modules • 92 lessons
Module 1: SQL - Introduction & Setup 2 lessons
  • Course Introduction
  • Fundamentals, Download, Install, Create Server, Database and Table
Module 2: SQL - Data Retrieval & Filtering 4 lessons
  • Data Retrieval - Select
  • Data Filter - Where
  • Logical Operations
  • Wildcard Filters
Module 3: SQL - Data Manipulation 3 lessons
  • Data Manipulation - Text Functions
  • Data Manipulation - Numerical Functions
  • Data Manipulation - Date Time Functions
Module 4: SQL - Aggregation & Joins 3 lessons
  • Aggregate and Group By Functions
  • Joins - Cartesian/Cross, Inner, Left, Right, Full, Outer, Self
  • CRUD Operations
Module 5: SQL - Advanced SQL 5 lessons
  • Sub Query
  • Nested Query
  • Common Table Expressions
  • Window Functions
  • Regular Expression
Module 6: Power BI Fundamentals & Interface 5 lessons
  • Introduction to Power BI & Ecosystem Overview
  • Power BI Desktop - Interface & Navigation
  • Power BI Workflow - Extract, Model, Visualize & Publish
  • Power BI vs Other BI Tools
  • Power BI Licensing & Versions Overview
Module 7: Data Extraction & Data Sources 8 lessons
  • Manual Data Entry in Power BI
  • Loading Data from Excel & CSV
  • Loading Data from XML & PDF
  • Loading Data from SQL Database
  • Loading Data from Web & Web API
  • Loading Data from SharePoint & OneDrive
  • Connecting Multiple Data Sources
  • DirectQuery vs Import Mode vs Live Connection
Module 8: Data Transformation - Power Query Editor 23 lessons
  • Introduction to Power Query Editor
  • Managing Queries & Parameters
  • Filtering Rows - Number, Text & Date Columns
  • Advanced Filtering & Logical Operations
  • Managing Columns - Rename, Reorder, Remove
  • Keep & Remove Rows
  • Handling Duplicates, Blanks & Errors
  • Sorting & Replacing Values
  • Split Column Operations
  • Group Rows & Aggregations
  • Data Type Management & Header Operations
  • Append, Merge & Combine Queries
  • Merge Types & Join Kinds
  • Transpose, Reverse & Count Rows
  • Fill, Convert to List & Column Operations
  • Text Formatting & Text Extraction
  • Statistics & Math Operations
  • Date & Time Functions in Power Query
  • Adding Custom, Conditional & Index Columns
  • Adding Columns from Example & Custom Functions
  • R Script & Python Script Integration
  • View Operations & Query Dependency
  • Reusing Data Models
Module 9: Data Modeling & Relationships 7 lessons
  • Data Modeling Concepts & Best Practices
  • Schema Design - Star & Snowflake
  • Fact & Dimension Tables
  • Relationships, Cardinality & Cross Filter Direction
  • Measures & Calculated Columns
  • Model Security & Row Level Security
  • Q&A Setup & Synonyms
Module 10: Data Visualization 11 lessons
  • Data Visualization Principles & Best Practices
  • Choosing the Right Visual
  • Bar, Column, Line & Area Charts
  • Ribbon, Waterfall & Funnel Charts
  • Scatter, Pie & Donut Charts
  • Treemap, Map & Filled Map
  • Gauge, KPI Metrics & Cards
  • Slicers, Table & Matrix
  • Python & R Script Visualizations
  • Key Influencers, Decomposition Tree & Narrative
  • Custom Visuals from AppSource
Module 11: Dashboard Building & Report Design 10 lessons
  • Dashboard Design Principles & UI Best Practices
  • Slicers, Filters & Visual Interactions
  • Bookmarks, Buttons & Navigation
  • Conditional Formatting & Highlighting
  • Drill-Through & Drill-Down Reports
  • Tooltips & Report Page Tooltips
  • Building a Sales Performance Dashboard
  • Building an HR Analytics Dashboard
  • Building a Finance Dashboard
  • Building an Operations Dashboard
Module 12: Power BI Service & Administration 6 lessons
  • Introduction to Power BI Service
  • Publishing Reports to Power BI Service
  • Workspaces - Creating & Managing
  • Scheduled Data Refresh & Gateway Setup
  • Sharing Reports & Dashboards
  • Power BI Mobile Overview
Module 13: Performance Optimization 3 lessons
  • Performance Issues & Root Causes
  • SQL Query Optimization for Power BI
  • Power BI Data Model Optimization
Module 14: Projects 2 lessons
  • Mentored Project
  • Capstone Project
Our Advantage

Why Choose This Course

  • Built Exclusively for Job Seekers & Working Professionals
  • Most Complete BI Analyst Training Available
  • Classroom Training with Real Mentor Guidance

Your Instructor

Leelavathi Ramesh

Leelavathi Ramesh

Business Intelligence Analyst

9 Courses

4+ years of experience as a Business Intelligence Analyst, with hands-on expertise at Variablz Technology and Schneider Electric. Statistics graduate with practical experience across Marketing, Production, and Sales Analytics.

FAQ

Frequently Asked Questions

Who is this course designed for?

This course is designed for anyone looking to start or transition into a BI Analyst role u2014 whether you come from an IT or non-IT background, are a fresh graduate, or a working professional looking to upskill.

Do I need prior experience in SQL or Power BI to join this course?

No prior experience is required. The course starts from the fundamentals and gradually progresses to advanced concepts, making it suitable for absolute beginners.

What software do I need to get started?

You will need Power BI Desktop and PostgreSQL, both of which are free to download. A laptop or desktop with a stable internet connection is sufficient.

Will I get hands-on practice during the course?

Yes. The course includes coding sessions, mentored projects, and a capstone project to ensure you gain real, practical experience u2014 not just theoretical knowledge.

Is this course suitable for non-IT professionals?

Absolutely. The course is structured to be accessible for both IT and non-IT professionals. No programming background is needed to get started.

What kind of projects will I work on?

You will build real-world dashboards across domains like Sales, HR, Finance, and Operations u2014 giving you a portfolio of work you can present directly to employers.

Will I learn SQL as part of this course?

Yes. SQL is covered in depth u2014 from data retrieval and filtering to advanced topics like window functions, CTEs, and subqueries u2014 all taught in the context of business analysis.

What roles can I apply for after completing this course?

You will be prepared for roles such as BI Analyst, Data Analyst, Reporting Analyst, MIS Analyst, and Business Analyst with a data focus u2014 across industries.

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