Industry Skills Online Live

Data Analyst & Business Intelligence with Placement Training

This course enables you to walk out not just with knowledge — but with the confidence, skills, and real project experience with Placement Training to land a Data Analyst, MIS Executive, Power BI Developer and Business Intelligence 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.

5.0 (23 ratings)
56 Total Learners 8-9 Weeks | 1-2 Hours/day Industrial Training Tamil

What You'll Learn

  • Master 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
  • Placement Training
  • Go from Job Seeker to Job-Ready BI Analyst

Requirements

  • A laptop/desktop with internet connection
  • Suitable for both IT & Non-IT Professionals

Tools & Technologies

PostgreSQL PostgreSQL
Power BI Power BI
DAX Studio DAX Studio

Course Description

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

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 Data Analyst or BI Analyst
  • Job Seekers Who Want to Go Beyond Basic Reports and Deliver Real Insights
  • Candidates Who Prefer Structured Online Learning with Live Mentor Support
  • Anyone Ready to Commit and Become a Job-Ready Data Analyst or BI Analyst

Course Curriculum

29 modules • 237 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 4 lessons
  • Sub Query
  • Nested Query
  • Common Table Expressions
  • Window Functions
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: Introduction to DAX & DAX Studio 3 lessons
  • Introduction to DAX
  • Introduction to DAX Studio
  • Connect Power BI Data Model
Module 14: DAX Queries Foundation 6 lessons
  • Evaluate and Select Columns
  • Order By
  • Start At
  • Row
  • Var
  • Define Variable
Module 15: DAX Operators 4 lessons
  • Arithmetic Operators
  • Comparison Operators
  • Text Concatenation Operator
  • Logical Operator
Module 16: Table Manipulation Functions 19 lessons
  • Distinct
  • Add Columns
  • Generate Series
  • Data Table
  • Cross Join
  • Generate
  • Generate All
  • Natural Inner Join
  • Natural Outer Join
  • Summarize
  • Rollup
  • Rollup Group
  • Summarize Columns
  • Rollup Is Add SubTotal
  • Add Missing Items
  • Rollup Is SubTotal
  • Summarize
  • Set Operations
  • TopN
Module 17: Aggregate Functions 11 lessons
  • Count and CountX
  • CountA and CountAX
  • Counting Blank Values
  • Counting Rows
  • Counting Distinct Values
  • Minimum Values
  • Minimum Expression
  • Maximum Values
  • Sum Operations
  • Product Operations
  • Average Operations
Module 18: Logical Functions 10 lessons
  • AND Operation
  • OR Operation
  • NOT Operation
  • IF Condition
  • True and False
  • If Eager
  • If Error
  • Coalesce
  • Switch with Exact Match
  • Switch with Numerical Comparison
Module 19: Information Functions 17 lessons
  • Column Statistics
  • Contains
  • Contains Row
  • Contains String
  • Filter and Slicer Simulation (Treat As)
  • Has One Filter
  • Has One Value
  • Is Filtered
  • Is Cross Filtered
  • Text and Non-Text Column
  • Number Odd Even
  • Is Blank
  • Is Error
  • Is Logical
  • Is Empty
  • Is SubTotal
  • Is InScope
Module 20: Math Functions 13 lessons
  • Division and Modulus
  • Ceiling and Floor
  • Rounding
  • Rounding up and Rounding Down
  • Truncate
  • Rounding to Even
  • Power
  • Square Root
  • Exponential Growth
  • Sign and Absolute Value
  • Factorial
  • GCD and LCM
  • Logarithm
Module 21: Text Functions 13 lessons
  • Concatenate
  • ConcatenateX
  • Exact
  • Find and Search
  • Fixed
  • Format
  • Value
  • Left, Mid, and Right
  • Length
  • Trim
  • Replace and Substitute
  • Upper and Lower
  • Repeat
Module 22: Date and Time Functions 10 lessons
  • Date and Time
  • Calendar
  • Calendar Auto
  • Date Difference
  • Date Value
  • Date Extraction
  • Send Notification and Set Due Date
  • Networkdays
  • Current Values
  • Week day
Module 23: Time Intelligence Functions 13 lessons
  • Date Time Intelligence
  • Closing and Opening Balance of the Month
  • Closing and Opening Balance of the Quarter
  • Closing and Opening Balance of the Year
  • Dates Between
  • Dates in Period
  • Date Add
  • Start and End of Month
  • Start and End of Quarter
  • Start and End of Year
  • First and Last Date
  • Previous and Next
  • Last Year Same Period
Module 24: Parent and Child Functions 4 lessons
  • Path
  • Path Length
  • Path Item and Reverse
  • Path Contains
Module 25: Relationship Functions 5 lessons
  • Cross Filter
  • One Way Vs Both
  • Related Column
  • Related Table
  • User Relationship
Module 26: Filter Functions 12 lessons
  • Calculate
  • Treat As
  • Calculate Table
  • All Voice Update
  • All Cross Filtered
  • All Except
  • All Selected
  • All No Blank Rows
  • Earlier
  • Filter
  • Keep and Remove Filters
  • Lookup Value
Module 27: Window Functions 4 lessons
  • Index
  • Offset
  • Window
  • Rank
Module 28: Capstone Project 1 lesson
  • Live Interactive Capstone Project
Module 29: Placement Training 6 lessons
  • Resume Building
  • Telephonic Interview Preparation
  • Coding Round Preparation
  • Technical Interview Preparation
  • HR Interview Preparation
  • Job Application Guidance
Our Advantage

Why Choose This Course

  • Built Exclusively for Job Seekers & Working Professionals
  • Suitable for Data Analyst, Power BI Developer, MIS Executive and BI Analyst Jobs
  • Classroom Training with Real Mentor Guidance
  • Placement Guidance Included

Your Instructors

Leelavathi Ramesh

Leelavathi Ramesh

Business Intelligence Analyst

14 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.

Parthiban Kannan

Parthiban Kannan

Co-founder & Manager

23 Courses

14+ years of experience in digital transformation, leading teams of 15+ members and delivering 160+ projects for organizations like Lakshmi Machine Works, Milacron, Schneider Electric, Aatomz Research, and Variablz Technologies. AI innovator with a patent approved by the Government of India, with strong expertise in Data Science, Data Analysis, Business Intelligence, and Software Development.

FAQ

Frequently Asked Questions

Who is this course designed for?

This course is designed for anyone looking to start or transition into a Data Analyst or BI Analyst role. 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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