Mastering Business Intelligence With Power Bi And Tableau
Date: 20 January 2026 | Posted by: AD-TEAM
Mastering Business Intelligence With Power Bi And Tableau
Published 11/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.02 GB | Duration: 13h 18m
Unifying Business Insights Power BI: Mastering Financial Analysis with Power BI, Tableau, and Advanced BI Techniques
What you'll learn
The introduction and importance of Business Intelligence
Basic concepts of Statistics required for understanding Business Intelligence
The importance of Power BI Financial Analysis
Power BI and why Power BI is important
How to work on Power BI
Analyzing Sales Calculation and Matrix Formatting
How to prepare P&L, calculate profits, KPI for visualization, and Data Slicers
The whole procedure of Power BI Financial Analytics, from installing to comparing data with steps.
How to compare Power BI with MS Excel
The resources of Power BI Financial Analyst
The visualization features such as visualizing sales trends and adding slicers
Practical explanation and live implementation of all important functions of BI and statistical concepts using Excel, Power BI, and Tableau
Business Intelligence Applications
Requirements
No prior knowledge of Power BI, Data Analysis, Mathematics, and AI is needed. You will start from the basic Power BI concepts and gradually build your knowledge in the subject
Readiness to work hard and practice
Basic understanding of Microsoft Excel
A willingness to learn and practice
Description
Welcome to an exciting journey of mastering financial data analysis with Power BI and advancing your Business Intelligence skills! This comprehensive course, comprised of two modules, provides you with a well-rounded understanding of these powerful tools and their real-world applications.Module 1: Mastering Financial Data Analysis with Power BI equips you with the skills needed to excel in preparing Profit & Loss Statements, visualizing data effectively, and mastering financial data analysis. Module 2: Business Intelligence Excellence with Power BI and Tableau takes your expertise to the next level by diving deep into BI tools, statistics, and hands-on projects using Power BI and Tableau.Module 1: Mastering Financial Data Analysis with Power BIIn this module, we will explore the full potential of Power BI, a versatile tool that empowers users to analyze diverse data sources and transform them into actionable insights. From installation procedures to advanced visualization techniques, this course offers comprehensive knowledge and practical applications.Key Highlights:Installation and utilization of Power BI DesktopSales calculations, trend analysis, and advanced visualizationPreparation and visualization of Profit & Loss StatementsIn-depth analysis of financial metrics: Gross Profit, EBITDA, Net ProfitPractical insights into data visualization techniquesCreation of impactful charts and advanced data analysis methodsBy the end of this module, you will be equipped to:Apply Power BI concepts to financial data analysis in various domainsPerform efficient data operations and evaluations using Power BICreate compelling visualizations for a wide range of financial analysesModule 2: Business Intelligence Excellence with Power BI and TableauIn this module, we provide an in-depth understanding of Business Intelligence (BI) tools, focusing on Power BI and Tableau. From statistical fundamentals to hands-on projects, this module combines theoretical knowledge with practical exercises.Key Highlights:Introduction to BI tools and their real-world applicationsComprehensive coverage of descriptive and inferential statisticsHands-on statistical practices using ExcelIn-depth exploration of Power BI and Tableau functionalitiesReal-world projects: Creating a Sales Dashboard using Power BI & Performing Customer Analysis with TableauCareer development guidance in the BI fieldBy completing this module successfully, you will be able to:Implement BI techniques using Power BI and Tableau, starting from scratchApply for roles related to BI, data analytics, and data sciencePursue freelance opportunities as a business analyst or data modelerEfficiently implement and enhance BI projects using Power BI and TableauWho Should Take This Course?Beginners eager to explore the capabilities of Power BI and TableauData analysts looking to enhance their financial analysis skillsBusiness analysts aiming to optimize financial processesFinancial analysts seeking streamlined data operationsIndividuals interested in roles related to BI, analytics, or data scienceWhy Take This Course?By enrolling in this course, you'll:Gain proficiency in financial data analysis using Power BI and TableauLearn how to prepare impactful Profit & Loss StatementsDevelop advanced data visualization techniquesEnhance your career prospects in BI, data analytics, or data scienceImplement BI techniques for real-world applicationsPursue freelance opportunities as a business analyst or data modelerEfficiently implement and enhance BI projects using Power BI and TableauDon't let this newfound knowledge go to waste. Put your skills into action and embark on a successful career journey in the world of data analysis and business intelligence. Enroll now and take the next step towards achieving your professional goals!List of Keywords:Financial Data Analysis, Power BI, Tableau, Business Intelligence, Data Visualization, Data Analysis, BI Tools, Statistics, Data Science, Profit & Loss Statements.
Overview
Section 1: Power BI: Financial Data Analysis using Power BI 2023
Lecture 1 Introduction: Module Introduction
Lecture 2 Introduction: Instructor
Lecture 3 Introduction: AI Sciences
Lecture 4 Introduction: Course Outline
Lecture 5 Introduction: Case Study
Lecture 6 Links for the Course's Materials and Codes
Lecture 7 Power BI Desktop: Module Introduction
Lecture 8 Power BI Desktop: Power BI Introduction
Lecture 9 Power BI Desktop: Advantages
Lecture 10 Power BI Desktop: Excel vs PowerBI
Lecture 11 Power BI Desktop: Installation
Lecture 12 Power BI Desktop: Settings
Lecture 13 Power BI Desktop: Interface
Lecture 14 Power BI Desktop: Workflow
Lecture 15 Power BI Desktop: Resources and Ribbon
Lecture 16 Power BI Desktop: Report View Tabs
Lecture 17 Analyzing Sales: Introduction
Lecture 18 Analyzing Sales: Understanding Data
Lecture 19 Analyzing Sales: Data in Power BI
Lecture 20 Analyzing Sales: Date Format
Lecture 21 Analyzing Sales: Sales Calculation
Lecture 22 Analyzing Sales: Formatting
Lecture 23 Analyzing Sales: Yearly, Quarterly and Monthly Analysis
Lecture 24 Analyzing Sales: Visualizing With Charts
Lecture 25 Analyzing Sales: Country Representation With Slicers
Lecture 26 Preparing and Analyzing P&L: Module Introduction
Lecture 27 Preparing and Analyzing P&L: Profit Loss Statement
Lecture 28 Preparing and Analyzing P&L: Gross Profit
Lecture 29 Preparing and Analyzing P&L: Operating Profit
Lecture 30 Preparing and Analyzing P&L: Net Progit, EBITDA and PBIT
Lecture 31 Preparing and Analyzing P&L: Visualising Gross and Net Profit
Lecture 32 Preparing and Analyzing P&L: Analysis and Adding Slicers
Section 2: Business Intelligence with PowerBI & Tableau:Complete Course
Lecture 33 Introduction: What is Business Intelligence
Lecture 34 Introduction: Importance of Business Intelligence
Lecture 35 Introduction: Design of the Course
Lecture 36 Introduction: What to Cover
Lecture 37 Introduction: Who should take this course
Lecture 38 Introduction: Introduction to the Projects
Lecture 39 Introduction: Introduction of the Instructor
Lecture 40 Links for the Course's Materials and Codes
Lecture 41 BI Applications and Tools: Adhoc Analysis in Business Intelligence
Lecture 42 BI Applications and Tools: Online Analytical Processing in Business Intelligence
Lecture 43 BI Applications and Tools: Mobile Business Intelligence
Lecture 44 BI Applications and Tools: Real Time Business Intelligence
Lecture 45 BI Applications and Tools: Operational Business Intelligence
Lecture 46 BI Applications and Tools: Open Source Business Intelligence
Lecture 47 BI Applications and Tools: Embedded Business Intelligence
Lecture 48 BI Applications and Tools: Collaborative Business Intelligence
Lecture 49 BI Applications and Tools: Location Business Intelligence
Lecture 50 BI Applications and Tools: Vendors and Market of Business Intelligence Tools
Lecture 51 An overview of Statistics for Business Intelligence Needs and Requirements: An Overview of Statistics
Lecture 52 An overview of Statistics for Business Intelligence Needs and Requirements: Types of Statistics
Lecture 53 An overview of Statistics for Business Intelligence Needs and Requirements: Descriptive Statistics along with Types of Data
Lecture 54 An overview of Statistics for Business Intelligence Needs and Requirements: Levels of Measurement used in Statistical Data
Lecture 55 An overview of Statistics for Business Intelligence Needs and Requirements: Examples of Measurement Levels
Lecture 56 An overview of Statistics for Business Intelligence Needs and Requirements: Data Visualization using Histogram
Lecture 57 An overview of Statistics for Business Intelligence Needs and Requirements: Data Correlation using Scatter Plots
Lecture 58 An overview of Statistics for Business Intelligence Needs and Requirements: Quiz Scatter Plot
Lecture 59 An overview of Statistics for Business Intelligence Needs and Requirements: Quiz Solution Scatter Plot
Lecture 60 An overview of Statistics for Business Intelligence Needs and Requirements: An Overview of a Cross Table
Lecture 61 An overview of Statistics for Business Intelligence Needs and Requirements: Measures of Central Tendency
Lecture 62 An overview of Statistics for Business Intelligence Needs and Requirements: Quiz Data with Outliers
Lecture 63 An overview of Statistics for Business Intelligence Needs and Requirements: Quiz Solution Data with Outliers
Lecture 64 An overview of Statistics for Business Intelligence Needs and Requirements: Correlation, Covariance and Skewness in Data
Lecture 65 An overview of Statistics for Business Intelligence Needs and Requirements: Spread of Data
Lecture 66 An overview of Statistics for Business Intelligence Needs and Requirements: Quiz Standard Deviation and Variance
Lecture 67 An overview of Statistics for Business Intelligence Needs and Requirements: Quiz Solution Standard Deviation and Variance
Lecture 68 An overview of Statistics for Business Intelligence Needs and Requirements: An Overview of Inferential Statistics
Lecture 69 An overview of Statistics for Business Intelligence Needs and Requirements: Distribution of Data and Standard Error
Lecture 70 An overview of Statistics for Business Intelligence Needs and Requirements: Estimators, Estimates and Central Limit Theorem
Lecture 71 An overview of Statistics for Business Intelligence Needs and Requirements: Quiz Solution to Distribution of Data
Lecture 72 An overview of Statistics for Business Intelligence Needs and Requirements: Z-Score and T-Score
Lecture 73 An overview of Statistics for Business Intelligence Needs and Requirements: Quiz Solution What to Select Z-score or T-score
Lecture 74 An overview of Statistics for Business Intelligence Needs and Requirements: Hypothesis Testing
Lecture 75 An overview of Statistics for Business Intelligence Needs and Requirements: Significance Levels and Critical Regions
Lecture 76 An overview of Statistics for Business Intelligence Needs and Requirements: Confidence Interval and Margin of Errors
Lecture 77 An overview of Statistics for Business Intelligence Needs and Requirements: Quiz Solution to Significance Interval
Lecture 78 An overview of Statistics for Business Intelligence Needs and Requirements: Dependent Sample Two Mean Test
Lecture 79 An overview of Statistics for Business Intelligence Needs and Requirements: Independent Sample Two Mean Test
Lecture 80 An overview of Statistics for Business Intelligence Needs and Requirements: Quiz Which Test to Perform if Population Variance Known
Lecture 81 An overview of Statistics for Business Intelligence Needs and Requirements: Quiz Answer Which Test to Perform if Population Variance Known
Lecture 82 An overview of Statistics for Business Intelligence Needs and Requirements: Quiz Which Test to Perform if Population Variance unknown
Lecture 83 An overview of Statistics for Business Intelligence Needs and Requirements: Quiz Answer Which Test to Perform if Population Variance unknown
Lecture 84 An overview of Statistics for Business Intelligence Needs and Requirements: Summary Statistics in One Go
Lecture 85 Statistical Practices Using Excel: Descrptive Statistics in Excel
Lecture 86 Statistical Practices Using Excel: Quiz Descriptive Statistics
Lecture 87 Statistical Practices Using Excel: Quiz Solution Descriptive Statistics
Lecture 88 Statistical Practices Using Excel: Measures of Central Tendency in Excel
Lecture 89 Statistical Practices Using Excel: Quiz Mean, Median and Mode in Excel
Lecture 90 Statistical Practices Using Excel: Quiz Solution of Mean, Median and Mode in Excel
Lecture 91 Statistical Practices Using Excel: Measuring Data Spread using Excel
Lecture 92 Statistical Practices Using Excel: Correlation in Excel
Lecture 93 Statistical Practices Using Excel: Quiz Correlation
Lecture 94 Statistical Practices Using Excel: Quiz Solution Correlation
Lecture 95 Statistical Practices Using Excel: Data Visualization using Excel
Lecture 96 Statistical Practices Using Excel: Paired Sample t Test in Excel
Lecture 97 Statistical Practices Using Excel: Quiz T Test Paired Sample
Lecture 98 Statistical Practices Using Excel: Quiz Solution T Test-Paired Samples
Lecture 99 Statistical Practices Using Excel: t Test for Equal and Unequal Variances in Excel
Lecture 100 Statistical Practices Using Excel: Quiz Two Sample T Test
Lecture 101 Statistical Practices Using Excel: Quiz Solution Two Sample T Test
Lecture 102 Statistical Practices Using Excel: Hypothesis Testing using Excel
Lecture 103 Statistical Practices Using Excel: Confidence Interval in Descriptive Statistics using Data Analysis Tab in Excel
Lecture 104 Statistical Practices Using Excel: Quiz Z Test
Lecture 105 Statistical Practices Using Excel: Quiz Solution Z Test
Lecture 106 Statistical Practices Using Excel: Project Question How to Perform Regression in Excel
Lecture 107 Statistical Practices Using Excel: Project of Performing Regression in Excel
Lecture 108 Power BI: Introduction What we will learn in Power BI
Lecture 109 Power BI: An Overview of Power BI
Lecture 110 Power BI: Downloading or Installing Power BI Desktop Free
Lecture 111 Power BI: Getting Started with Power BI
Lecture 112 Power BI: One Simple Click to Get Data into Power BI
Lecture 113 Power BI: Working with Query Editor The Kitchen of Power BI
Lecture 114 Power BI: Refreshing Data Sources
Lecture 115 Power BI: Star vs Snowflake Schema
Lecture 116 Power BI: More About Schema
Lecture 117 Power BI: Look Up vs Data Tables
Lecture 118 Power BI: Making Relationships Among Data Table and Look Up Tables
Lecture 119 Power BI: Active vs Inactive Relationships
Lecture 120 Power BI: Setting Cardinality in Relatinships
Lecture 121 Power BI: Cross Filter Direction of Data Model
Lecture 122 Power BI: Definning Measure By Using Existing Measure
Lecture 123 Power BI: Final Data Model
Lecture 124 Power BI: Starting with the Measures Explicit and Implicit
Lecture 125 Power BI: Simple DAX to Define a Measure
Lecture 126 Power BI: DAX Quiz
Lecture 127 Power BI: DAX Quiz Solution
Lecture 128 Power BI: Another DAX Practice
Lecture 129 Power BI: Quiz Write Explicit Measures
Lecture 130 Power BI: Quiz Solution Write Explicit Measures
Lecture 131 Power BI: Quiz Create Explicit Measure to Calculate Sum of Sales
Lecture 132 Power BI: Solution Create Explicit Measure to Calculate Sum of Sales
Lecture 133 Power BI: Quiz Implicit or Explicit
Lecture 134 Power BI: Quiz Solution Implicit or Explicit
Lecture 135 Power BI: Quiz Defining Explicit Measure
Lecture 136 Power BI: Quiz Solution Defining Explicit Measure
Lecture 137 Power BI: Combining Multiple Functions Under Single Measure
Lecture 138 Power BI: Quiz Creating Hybrid Measure
Lecture 139 Power BI: Quiz Solution Creating Hybrid Measure
Lecture 140 Power BI: Complex Function
Lecture 141 Power BI: Multiple Functions Together
Lecture 142 Power BI: Defining Quick Measure
Lecture 143 Power BI: Quiz Put Visual and Add Measure Result
Lecture 144 Power BI: Quiz Solution Put Visual and Add Measure Result
Lecture 145 Power BI: Quiz Adding Fields to the Visual
Lecture 146 Power BI: Quiz Solution Adding Fields to the Visual
Lecture 147 Power BI: Quiz Apply Basic Filtering
Lecture 148 Power BI: Quiz Solution Apply Basic Filtering
Lecture 149 Power BI: Quiz Slice and Dice as Per Month
Lecture 150 Power BI: Quiz Solution Slice and Dice as Per Month
Lecture 151 Power BI: Quiz Applying Sort on the Month Field
Lecture 152 Power BI: Quiz Solution Applying Sort on the Month Field
Lecture 153 Power BI: Defining New Column using Find Function
Lecture 154 Power BI: New Column using if Condition
Lecture 155 Power BI: Quiz Adding New Column
Lecture 156 Power BI: Quiz Solution Adding New Column
Lecture 157 Power BI: Quiz Format the Measure Output
Lecture 158 Power BI: Quiz Solution Format the Measure Output
Lecture 159 Power BI: Time Intelligence in Power BI
Lecture 160 Power BI: Defining Day Date Function
Lecture 161 Power BI: Time Intelligence More Functions
Lecture 162 Power BI: Making Your Own Date Table in Power BI
Lecture 163 Power BI: Career Opportunities with Power BI
Lecture 164 Power BI: Making Report in Power BI
Lecture 165 Power BI: Adding Charts in Reports
Lecture 166 Power BI: Publishing Data to Workspace and Dashboard
Lecture 167 Tableau: An Overview of the Module
Lecture 168 Tableau: What is Tableau
Lecture 169 Tableau: Why Tableau
Lecture 170 Tableau: Features of Tableau
Lecture 171 Tableau: Advantages of Using Tableau
Lecture 172 Tableau: Website of Tableau
Lecture 173 Tableau: Downloading Tableau
Lecture 174 Tableau: Which Tableau Platform to Use
Lecture 175 Tableau: Openning Tableau
Lecture 176 Tableau: Adding Data, Connecting Tables, Adding Fields and Applying Cardinality
Lecture 177 Tableau: Refrential Integrity and Relationships in Different Tables
Lecture 178 Tableau: Data Modelling Using Multiple Fields to Develop Valid Relationship
Lecture 179 Tableau: Union of Multiple Tables
Lecture 180 Tableau: Understanding Data Forms in Sheet View of Tableau
Lecture 181 Tableau: Simplified Bin Chart of Sales
Lecture 182 Tableau: Making Various Charts in Just a Click in Different Colours and Size
Lecture 183 Tableau: Combining Multiple Fiels Under One Axis as Dual Axis
Lecture 184 Tableau: Lollipop Chart
Lecture 185 Tableau: Creating Calculated Field to Find Profit Margin
Lecture 186 Tableau: Quiz Calculated Field
Lecture 187 Tableau: Quiz Solution Calculated Field
Lecture 188 Tableau: Calculation with Condition Writing
Lecture 189 Tableau: Quiz Total Revenue
Lecture 190 Tableau: Quiz Solution Total Revenue
Lecture 191 Tableau: Discrete and Continuous Data in Tableau
Lecture 192 Tableau: Mapping in Tableau
Lecture 193 Tableau: Data Joining
Lecture 194 Tableau: Inner Join
Lecture 195 Tableau: Full Outer Join
Lecture 196 Tableau: Left Join, Right Join and Discussion on Data Modelling
Lecture 197 Tableau: Quiz Creating Bin Field
Lecture 198 Tableau: Quiz Solution Creating Bin Field
Lecture 199 Tableau: Aggregation and Granularity
Lecture 200 Tableau: Another Chart with Parameters
Lecture 201 Tableau: Sales Chart with Adding Filters to Tooltip
Lecture 202 Tableau: Joining vs Blending
Lecture 203 Tableau: Using Pivot Function
Lecture 204 Tableau: Project Quiz Forecasting your Sales
Lecture 205 Tableau: Solution to the Project
Lecture 206 Tableau: Working with Data Interpreter
Lecture 207 Tableau: Adding Sheets to the Dashboard
Lecture 208 Tableau: Quiz Project Designing Dashboard
Lecture 209 Tableau: Solution to the Project Dashboard
Lecture 210 Tableau: Quiz Project Making Story
Lecture 211 Tableau: Solution to the Project Story
Lecture 212 Tableau: Tableau vs Excel
Lecture 213 Tableau: Power BI vs Tableau
Lecture 214 Tableau: Final Video to Sum Up All
Lecture 215 Project: Starting the Project Adding Slicer
Lecture 216 Project: Adding Cards with Various Fields
Lecture 217 Project: Applying Various Filters
Lecture 218 Project: Formatting Visuals and Adding Chart
Lecture 219 Project: Adding Charts to Dashboard
Lecture 220 Project: Adding More Charts to Dashboard
Lecture 221 Project: Final Dashboard
Lecture 222 Project: Project Customer Analysis
Lecture 223 Project: Importing Data
Lecture 224 Project: Revenue Per State
Lecture 225 Project: Revenue Per Month
Lecture 226 Project: Revenue Per Age
Lecture 227 Project: Quantity Discount Correlation
Lecture 228 Project: Revenue Per Region
Lecture 229 Project: Revenue Per Category
Lecture 230 Project: Dashboard
Lecture 231 Career Development: Career Growth in Business Intelligence
Lecture 232 Career Development: OLTP and OLAP
Lecture 233 Career Development: Your Grip on BI Tool
Lecture 234 Career Development: Data Mart and Data Warehouse
Lecture 235 Career Development: BI Developer
Lecture 236 Career Development: Universe in Business Analytics
Lecture 237 Career Development: Dashboard and SAS BI
Lecture 238 Career Development: Agile Software Developement and BI Projects
Lecture 239 Career Development: Benchmarks
Lecture 240 Career Development: Granularity, BI Elements and BI Reports
Lecture 241 Career Development: RAGGED Hierracrchy and SSBI
Lecture 242 Career Development: Building Blocks in Power BI and Concept of INVEST
Lecture 243 Career Development: BRD and SRS
Lecture 244 Career Development: Business Modelling and Personas
Lecture 245 Career Development: General Questions
Lecture 246 Career Development: Open Ended Experience Based Questions
Lecture 247 Career Development: BI Roles and Annual Salaries
Beginners in Business Intelligence, Power BI, and Tableau,People who want to extend their business as well as their career through intelligent BI techniques,People who love to make themselves ready for BI roles,People who want to learn BI along with its implementation in realistic projects,Statistical, Power BI, data analytics, and Tableau lovers,Anyone interested in learning new tools
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