Excel & Power Bi For Business Intelligence
Published 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.10 GB | Duration: 16h 27m
Published 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.10 GB | Duration: 16h 27m
Excel & Power BI for Business Intelligence: Master Data analysis, Visualization, Modeling, and Reporting for Smarter Bus
What you'll learn
Build a solid foundation in Excel, from formulas to charts and data formatting
Master advanced Excel functions like IF, SUMIFS, TEXT, and DATE formulas
Analyze large datasets using Power Pivot, data models, and DAX calculations
Create interactive dashboards and visualizations in Power BI
Apply concepts using the Excel templates provided for hands-on practice and skill-building
Requirements
A stable internet connection
A laptop, desktop, or any other device that allows you to access the course videos
MS Excel
Power BI
Description
This comprehensive program is designed to help you become fluent in the tools that power business intelligence—Excel and Power BI. Whether you're starting from scratch or leveling up your data skills, this bundle covers everything from core Excel skills to advanced Power BI dashboards.Begin with the Basic Excel Course to build confidence with Excel’s interface, formulas, formatting, charts, and filters. Progress to the Advanced Excel Functions Course, where you'll master powerful formulas like IF, SUMIFS, CONCATENATE, and DATEDIF for real-world analysis.Next, dive into the Power Pivot Masterclass, where you'll handle large datasets, build data models, and write DAX calculations using calculated columns, measures, and KPIs. You'll learn to model data efficiently and extract insights faster than ever.In the Data Analysis in Excel Course, you'll explore advanced tools like data validation, cascading lists, advanced filters, conditional formatting, and what-if analysis techniques like Goal Seek and Scenario Manager.Finally, in the Basic Power BI Course, you'll bring everything together. Learn to build interactive reports and dashboards with clustered charts, slicers, decomposition trees, and maps. Understand relationships, DAX measures, and how to publish reports across devices.To ensure practical learning, this program includes ready-to-use Excel templates so you can practice alongside lessons, apply concepts immediately, and build a job-ready skillset. By the end of this bundle, you’ll be ready to turn data into insights that drive decisions, using tools relied on by top businesses worldwide.
Overview
Section 1: Basic Excel Course
Lecture 1 Microsoft Excel Fundamentals - Part 1
Lecture 2 Microsoft Excel Fundamentals - Part 2
Lecture 3 Formatting Cells - Part 1
Lecture 4 Formatting Cells -Part 2
Lecture 5 Working with Basic Excel Functions - Part 1
Lecture 6 Working with Basic Excel Functions - Part 2
Lecture 7 Sorting
Lecture 8 Auto Filter
Lecture 9 Working with Charts - Part 1
Lecture 10 Working with Charts - Part 2
Lecture 11 Working with Charts - Part 3
Lecture 12 Inserting Images & Shapes
Lecture 13 Printing Worksheets
Section 2: Power Pivot Masterclass
Lecture 14 Understanding Power Pivot - Part 1
Lecture 15 Understanding Power Pivot - Part 2
Lecture 16 Understanding Power Pivot - Part 3
Lecture 17 Importing Data into Power Pivot - Part 1
Lecture 18 Importing Data into Power Pivot - Part 2
Lecture 19 Importing Data into Power Pivot - Part 3
Lecture 20 Importing Data into Power Pivot - Part 4
Lecture 21 Creating the Data Model - Part 1
Lecture 22 Creating the Data Model - Part 2
Lecture 23 Creating the Data Model - Part 3
Lecture 24 Creating the Data Model - Part 4
Lecture 25 Understanding DAX Formulas - Part 1
Lecture 26 Understanding DAX Formulas - Part 2
Lecture 27 Understanding DAX Formulas - Part 3
Lecture 28 Understanding DAX Formulas - Part 4
Lecture 29 Using Calculations in Power Pivot - Part 1
Lecture 30 Using Calculations in Power Pivot - Part 2
Lecture 31 Using Calculations in Power Pivot - Part 3
Lecture 32 Using Calculations in Power Pivot - Part 4
Lecture 33 Conditional Measures and Iterator Functions - Part 1
Lecture 34 Conditional Measures and Iterator Functions - Part 2
Lecture 35 Conditional Measures and Iterator Functions - Part 3
Lecture 36 Conditional Measures and Iterator Functions - Part 4
Lecture 37 Conditional Measures and Iterator Functions - Part 5
Lecture 38 Working with DAX Formulas - Part 1
Lecture 39 Working with DAX Formulas - Part 2
Lecture 40 Working with DAX Formulas - Part 3
Lecture 41 Working with DAX Formulas - Part 4
Lecture 42 Working with DAX Formulas - Part 5
Lecture 43 Working with DAX Formulas - Part 6
Lecture 44 Working with DAX Formulas - Part 7
Lecture 45 Working with DAX Formulas - Part 8
Lecture 46 Working with DAX Formulas - Part 9
Lecture 47 Working with DAX Formulas - Part 10
Lecture 48 Working with DAX Formulas - Part 11
Lecture 49 Conclusion
Section 3: Advanced Excel Functions Course
Lecture 50 Text Functions - Part 1
Lecture 51 Text Functions - Part 2
Lecture 52 Text Functions - Part 3
Lecture 53 Text Functions - Part 4
Lecture 54 Text Functions - Part 5
Lecture 55 Math Functions - Part 1
Lecture 56 Math Functions - Part 2
Lecture 57 Math Functions - Part 3
Lecture 58 Math Functions - Part 4
Lecture 59 Date Functions - Part 1
Lecture 60 Text Functions - Part 2
Lecture 61 Date Functions - Part 3
Lecture 62 Date Functions - Part 4
Lecture 63 Date Functions - Part 5
Lecture 64 Conditional Functions - Part 1
Lecture 65 Conditional Functions - Part 2
Lecture 66 Conditional Functions - Part 3
Lecture 67 Conditional Functions - Part 4
Lecture 68 Conditional Functions - Part 5
Lecture 69 Conclusion
Section 4: Data Analysis in Excel Course
Lecture 70 Data Validation - Part 1
Lecture 71 Data Validation - Part 2
Lecture 72 Data Validation - Part 3
Lecture 73 Data Validation - Part 4
Lecture 74 Advanced Filter - Part 1
Lecture 75 Advanced Filter - Part 2
Lecture 76 Advanced Filter - Part 3
Lecture 77 Advanced Filter - Part 4
Lecture 78 Advanced Filter - Part 5
Lecture 79 Custom Formatting - Part 1
Lecture 80 Custom Formatting - Part 2
Lecture 81 Custom Formatting - Part 3
Lecture 82 Conditional Formatting - Part 1
Lecture 83 Conditional Formatting - Part 2
Lecture 84 Conditional Formatting - Part 3
Lecture 85 Conditional Formatting - Part 4
Lecture 86 What If Analysis - Part 1
Lecture 87 What If Analysis - Part 2
Lecture 88 What If Analysis - Part 3
Section 5: Basic Power BI
Lecture 89 Introduction To Power BI
Lecture 90 Creating Reports In Power BI Desktop - Part 1
Lecture 91 Creating Reports In Power BI Desktop - Part 2
Lecture 92 Creating Reports In Power BI Desktop - Part 3
Lecture 93 Creating Reports In Power BI Desktop - Part 4
Lecture 94 Creating Reports In Power BI Desktop - Part 5
Lecture 95 Creating Reports In Power BI Desktop - Part 6
Lecture 96 Creating Reports In Power BI Desktop - Part 7
Lecture 97 Creating Reports In Power BI Desktop - Part 8
Lecture 98 Graphs & Visualizations - Part 1
Lecture 99 Graphs & Visualizations - Part 2
Lecture 100 Graphs & Visualizations - Part 3
Lecture 101 Graphs & Visualizations - Part 4
Lecture 102 Graphs & Visualizations - Part 5
Lecture 103 Graphs & Visualizations - Part 6
Lecture 104 Graphs & Visualizations - Part 7
Lecture 105 Graphs & Visualizations - Part 8
Lecture 106 Interactive Dashboards - Part 1
Lecture 107 Interactive Dashboards - Part 2
Lecture 108 Interactive Dashboards - Part 3
Lecture 109 Interactive Dashboards - Part 4
Lecture 110 Interactive Dashboards - Part 5
Lecture 111 Interactive Dashboards - Part 6
Lecture 112 DAX Formulas - Part 1
Lecture 113 DAX Formulas - Part 2
Lecture 114 DAX Formulas - Part 3
Lecture 115 DAX Measures - Part 1
Lecture 116 DAX Formulas - Part 2
Lecture 117 DAX Measures - Part 3
Lecture 118 DAX Measures - Part 4
Lecture 119 Relationships - Part 1
Lecture 120 Relationships - Part 2
Lecture 121 Power BI Query Editor - Part 1
Lecture 122 Power BI Query Editor - Part 2
Lecture 123 Power BI Query Editor - Part 3
Lecture 124 Analyze Data with Excel
Lecture 125 Conclusion
Beginners looking to build strong Excel and Power BI skills,Business professionals aiming to improve data analysis capabilities,Finance and MIS teams handling large volumes of data,Students and freshers preparing for BI or analyst roles,Anyone seeking a hands-on approach to learning