Business Intelligence Masters Program

Master Business Intelligence with Power BI, Tableau, SQL, ETL, Data Warehousing, and Analytics. Become a certified BI professional with hands-on projects.

Duration 5 Months (180 Hours)
Mode Live Online / Offline
2,200+ Students
300+ Partners
91% Placement

📈 Your Market Value After This Course

What you'll achieve and how much you can earn after completing Business Intelligence

Fresher / Entry Level

₹5 - 8 LPA

0-2 years experience

  • Junior BI Analyst
  • BI Trainee
⭐ Most Common

Mid Level

₹9 - 18 LPA

2-5 years experience

  • BI Analyst
  • Power BI Developer

Senior / Expert Level

₹20 - 40+ LPA

5+ years experience

  • Senior BI Architect
  • BI Manager

🎯 Job Roles You Can Apply For

BI Analyst
BI Developer
Data Analyst
Power BI Developer
Tableau Developer
BI Consultant
Analytics Manager

⚡ Skills You'll Master

Power BI
Tableau
SQL
DAX
Data Warehousing
ETL
Data Visualization
Excel
Power Query
Dashboard Design

📚 Complete Course Syllabus

Master every aspect with our comprehensive curriculum

Module 1: Introduction to Business Intelligence

  • What is Business Intelligence - Definition & Importance
  • BI vs Analytics vs Data Science
  • BI Architecture & Components
  • BI Tools Overview - Power BI, Tableau, Qlik
  • BI Career Path & Opportunities
  • BI Success Stories & Case Studies

Module 2: SQL for BI Professionals

  • SQL Basics - SELECT, FROM, WHERE
  • Filtering - AND, OR, IN, BETWEEN, LIKE
  • Sorting & Grouping - ORDER BY, GROUP BY, HAVING
  • Joins - INNER, LEFT, RIGHT, FULL, CROSS
  • Subqueries & CTEs
  • Aggregate Functions - COUNT, SUM, AVG, MIN, MAX
  • Window Functions - ROW_NUMBER, RANK, LEAD, LAG
  • Date & String Functions
  • Views & Stored Procedures
  • Query Optimization for BI

Module 3: Data Warehousing Concepts

  • What is Data Warehousing - Purpose & Benefits
  • Data Warehouse vs Data Lake vs Data Mart
  • Star Schema vs Snowflake Schema
  • Fact Tables & Dimension Tables
  • Slowly Changing Dimensions (SCD)
  • Data Warehouse Architecture
  • Kimball vs Inmon Methodology

Module 4: ETL Processes

  • What is ETL - Extract, Transform, Load
  • ETL vs ELT - Differences
  • Data Extraction from Various Sources
  • Data Transformation - Cleaning, Mapping, Aggregation
  • Data Loading - Full Load, Incremental Load
  • ETL Tools - SSIS, Talend, Informatica
  • Power Query for ETL
  • ETL Best Practices

Module 5: Power BI Mastery

  • Introduction to Power BI - Components
  • Connecting to Data Sources - Excel, SQL, Web, Cloud
  • Power Query - Data Transformation & Cleaning
  • Data Modeling - Relationships, Calculated Columns
  • DAX Functions Overview - CALCULATE, FILTER, SUMX
  • Creating Visuals - Charts, Maps, Cards, Slicers
  • Interactive Dashboards & Reports
  • Power BI Service - Publishing & Sharing
  • Row-Level Security (RLS)
  • Power BI Mobile & Embedding
  • Power BI vs Tableau - Comparison

Module 6: Tableau Mastery

  • Introduction to Tableau - Products & Features
  • Connecting to Data Sources
  • Data Preparation & Cleaning in Tableau Prep
  • Worksheets & Dashboards
  • Chart Types - Bar, Line, Scatter, Map, Pie, Heatmap
  • Calculated Fields & Parameters
  • Filters, Sets, Groups, Hierarchies
  • LOD Expressions - Fixed, Include, Exclude
  • Tableau Public vs Desktop vs Server
  • Storytelling with Tableau
  • Tableau Server & Online Publishing

Module 7: Data Visualization Best Practices

  • Principles of Data Visualization
  • Choosing the Right Chart Type
  • Dashboard Design Principles
  • Color Usage & Accessibility
  • Reducing Clutter & Enhancing Clarity
  • Storytelling with Data
  • Common Visualization Mistakes

Module 8: DAX & Calculated Measures

  • Introduction to DAX - Data Analysis Expressions
  • Calculated Columns vs Measures
  • Basic DAX Functions - SUM, AVERAGE, COUNT, MIN, MAX
  • CALCULATE & CALCULATETABLE Functions
  • FILTER, ALL, VALUES Functions
  • Time Intelligence Functions - TOTALYTD, SAMEPERIODLASTYEAR
  • Iterator Functions - SUMX, AVERAGEX
  • Relationship Functions - RELATED, RELATEDTABLE

Module 9: BI Reporting & Dashboards

  • Types of BI Reports - Operational, Analytical, Strategic
  • KPI Design & Measurement
  • Executive Dashboards
  • Scheduled Reporting & Subscriptions
  • Mobile Reporting
  • Embedded Analytics
  • BI Governance & Best Practices

Module 10: Advanced Analytics in BI

  • What-if Analysis & Scenario Planning
  • Forecasting & Predictive Analytics in BI
  • Statistical Analysis in Power BI/Tableau
  • Key Influencers Analysis
  • Decomposition Tree & Q&A Visuals
  • Python/R Integration in BI Tools
  • AI Visuals & Natural Language Queries

Module 11: Cloud BI Solutions

  • What is Cloud BI - Benefits & Challenges
  • Power BI Service & Premium
  • Tableau Online & Cloud
  • Azure Analysis Services
  • AWS QuickSight
  • Google Looker
  • Choosing Right Cloud BI Platform

Module 12: Real-World BI Projects

  • Project 1: Sales Dashboard in Power BI
  • Project 2: Financial Analytics Dashboard in Tableau
  • Project 3: HR Analytics Report
  • Project 4: Supply Chain BI Dashboard
  • Project 5: Customer 360 Dashboard
  • Capstone Project - Complete BI Solution

⭐ Why Choose Tekksol Global?

We provide the best learning experience with industry experts

Expert Trainers

Learn from certified BI professionals with 12+ years of industry experience

Hands-on Projects

Work on 8+ real-time BI projects with industry datasets

Industry Certification

Get globally recognized BI certification

100% Placement Support

Tie-ups with 300+ companies for BI roles

Resume Building

Professional resume & portfolio with BI projects

Mock Interviews

Regular mock interviews with detailed feedback

💻 Real-Time Projects

Build impressive portfolio with industry-relevant projects

Sales Performance Dashboard

Create an interactive sales dashboard with KPIs, regional analysis, product performance, and sales forecasting.

Power BI DAX SQL Excel

Financial Analytics Dashboard

Build a comprehensive financial dashboard with P&L, cash flow, budget vs actual, and trend analysis.

Tableau Calculated Fields SQL Excel

Customer Analytics & Segmentation

Develop a customer 360 dashboard with segmentation, lifetime value, churn analysis, and retention metrics.

Power BI DAX SQL Python

🚀 Placement Assistance

We're committed to your success beyond the course

Placement Support Includes:
  • Resume & LinkedIn Profile Building
  • Aptitude & Technical Training
  • Mock Interviews with Industry Experts
  • Soft Skills & Communication Training
Our Hiring Partners:
  • 500+ Hiring Partners
  • Unlimited Interview Opportunities
  • Job Portal Access
  • Life-long Placement Support
Our Top Hiring Partners
TCS
Infosys
Wipro
IBM
Capgemini
Accenture
HCL
CTS
Mahindra Tech
Dell
Amazon
Oracle
TCS
Infosys
Wipro
IBM
Capgemini
Accenture
HCL
CTS
Mahindra Tech
Dell
Amazon
Oracle

❓ Frequently Asked Questions

Got questions? We've got answers

What are the prerequisites for BI course?
Basic computer knowledge and Excel skills are helpful. We cover SQL and BI tools from basics.
What is the duration of the course?
The course duration is 5 months (180 hours) with flexible batch timings.
Which BI tools will I learn?
You will learn Power BI and Tableau - the two most popular BI tools in the industry.
What projects will I build?
You will build 8+ projects including Sales Dashboard, Financial Analytics, and Customer 360.
Is placement assistance provided?
Yes, we provide 100% placement assistance with 300+ hiring partners.

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