Course Overview

Business Intelligence (BI) and data visualization tools are essential for modern analytics. Organizations rely on Power BI and Tableau to convert raw data into insights that drive decision-making.

Techxeeria Technologies Pvt. Ltd. offers a four-month Power BI & Tableau training program designed to deliver end-to-end BI skills. The course covers data cleaning, modeling, visualization, advanced analytics, automation, integration with databases, real-time dashboards, capstone projects, and interview preparation.

Why Choose Power BI & Tableau Training?

• Learn both Power BI and Tableau for broader career opportunities. 
• Hands-on projects across Sales, HR, Finance, Marketing, IoT and real-time data. 
• Build interactive dashboards using real datasets and apply best-practice design. 
• Master DAX (Power BI) and Calculated Fields (Tableau). 
• Prepare for roles such as BI Developer, Data Analyst, Visualization Specialist, and BI Consultant. 

4-Month Power BI & Tableau Syllabus

Month 1 – Data Analytics & Visualization Basics

Week 1: Introduction to BI & Data Analytics

• Day 1: Introduction to Business Intelligence (BI) 
• Day 2: Power BI vs Tableau comparison 
• Day 3: BI workflow and real-world use cases 
• Day 4: Installing Power BI Desktop / Tableau Public 
• Day 5: Getting started with the interface 
• Day 6: Connecting to data sources (Excel, CSV, SQL) 
• Day 7: Mini project – Import and explore sales data 

Week 2: Data Preparation & Cleaning

• Day 8: Power Query Editor basics 
• Day 9: Data transformation (merge, append, replace) 
• Day 10: Handling missing and duplicate data 
• Day 11: Data modeling basics (relationships, keys) 
• Day 12: Data types and hierarchies 
• Day 13: Star and snowflake schema in BI 
• Day 14: Mini project – Clean HR dataset 

Week 3: Visualization Basics

• Day 15: Bar, line, pie charts 
• Day 16: Tables, matrix and cards 
• Day 17: Hierarchies and drill-downs 
• Day 18: Filters and slicers 
• Day 19: Conditional formatting 
• Day 20: Tooltips and labels 
• Day 21: Mini project – Sales dashboard v1 

Week 4: DAX Basics (Power BI) / Calculations (Tableau)

• Day 22: Introduction to DAX and calculated fields 
• Day 23: Basic functions (SUM, AVERAGE, COUNT) 
• Day 24: Time intelligence (YTD, MTD, QTD) 
• Day 25: Logical functions (IF, SWITCH) 
• Day 26: Text and date functions 
• Day 27: Aggregations and measures 
• Day 28: Mini project – KPI dashboard 

Month 2 – Advanced Data Modeling & Visualizations

Week 5: Advanced Data Modeling

• Day 29: Relationships (one-to-one, one-to-many) 
• Day 30: Data normalization and denormalization 
• Day 31: Using calculated columns 
• Day 32: Advanced DAX (CALCULATE, FILTER) 
• Day 33: Row-level security (RLS) 
• Day 34: Advanced joins and blends (Tableau) 
• Day 35: Mini project – Financial data model 

Week 6: Advanced Visualizations

• Day 36: Maps and geo visuals 
• Day 37: Tree maps and donut charts 
• Day 38: Scatter plots and bubble charts 
• Day 39: Waterfall and funnel charts 
• Day 40: Gauge and KPI cards 
• Day 41: Heatmaps and density maps 
• Day 42: Mini project – Marketing dashboard 

Week 7: Parameters & What-If Analysis

• Day 43: Creating parameters 
• Day 44: Using parameters with calculations 
• Day 45: What-if analysis in Power BI 
• Day 46: Scenario analysis in Tableau 
• Day 47: Dynamic visuals using parameters 
• Day 48: Advanced filters with parameters 
• Day 49: Mini project – Sales forecast dashboard 

Week 8: Dashboard Design Principles

• Day 50: Layout and design best practices 
• Day 51: Using themes and templates 
• Day 52: Advanced tooltips and bookmarks 
• Day 53: Navigation and page linking 
• Day 54: Designing interactive dashboards 
• Day 55: Storytelling with data 
• Day 56: Mini project – Business story dashboard 

Month 3 – Integration, Automation & Real-Time Data

Week 9: Integration with External Sources

• Day 57: Connecting Power BI/Tableau with SQL databases 
• Day 58: Web data sources and APIs 
• Day 59: Excel and SharePoint integration 
• Day 60: Google Analytics and social media data 
• Day 61: DirectQuery and live connections 
• Day 62: Cloud sources (Azure, AWS, GCP) 
• Day 63: Mini project – Real-time stock data dashboard 

Week 10: Automation & Power BI Service / Tableau Server

• Day 64: Publishing reports to Power BI Service / Tableau Online 
• Day 65: Scheduling data refresh 
• Day 66: Managing workspaces and projects 
• Day 67: Sharing reports and dashboards 
• Day 68: Row-level security in cloud environments 
• Day 69: Collaboration and version control 
• Day 70: Mini project – Shared team dashboard 

Week 11: Advanced Analytics Features

• Day 71: Natural language queries (Q&A in Power BI) 
• Day 72: Trend analysis 
• Day 73: Forecasting in Tableau and Power BI 
• Day 74: Clustering and grouping 
• Day 75: R and Python integration for advanced analytics 
• Day 76: Key influencers and decomposition trees 
• Day 77: Mini project – Predictive analytics dashboard 

Week 12: Performance Optimization

• Day 78: Data model optimization 
• Day 79: Query performance improvements 
• Day 80: Best practices in BI reports 
• Day 81: Handling large datasets 
• Day 82: Optimizing dashboards for mobile view 
• Day 83: Case study – Performance tuning 
• Day 84: Mini project – Optimized enterprise dashboard 

Month 4 – Capstone Projects & Interview Preparation

Week 13–14: Capstone Project 1 – Domain Specific

• Day 85–91: Project (Finance dashboard / Sales dashboard) 
• Day 92: Presentation and peer review 

Week 15–16: Capstone Project 2 – Real-Time Analytics

• Day 93–99: Project (Real-time IoT / Social media analytics dashboard) 
• Day 100: Presentation and peer review 

Week 17: Power BI + Tableau Comparison

• Day 101: Pros and cons of Power BI vs Tableau 
• Day 102: Industry use cases of each tool 
• Day 103: Choosing the right tool for business needs 
• Day 104: Migrating reports between Tableau and Power BI 
• Day 105: Hands-on exercise – Build the same report in both tools 

Week 18: Final Review & Interview Preparation

• Day 106–110: Revision of concepts 
• Day 111–113: Mock technical interviews 
• Day 114–116: Resume building and portfolio on GitHub/LinkedIn 
• Day 117–118: Project demo recording for portfolio 
• Day 119: Q&A and career guidance 
• Day 120: Final assessment and certification 

Hands-On Training

• Weekly mini projects (HR, Finance, Marketing, real-time data) 
• Two capstone projects (industry domain and real-time analytics) 
• Resume and GitHub/LinkedIn portfolio building 
• Mock interviews and career mentoring 

Who Should Join?

• Students and professionals aiming for data analytics and BI careers 
• Data analysts who want to upskill with Power BI and Tableau 
• IT professionals transitioning into Business Intelligence roles 
• Managers and business users who want to visualize data effectively 

Career Opportunities After Course

• Business Intelligence (BI) Developer 
• Data Visualization Specialist 
• Power BI Developer 
• Tableau Developer 
• Data Analyst