Microsoft Power Bi Tutorial 2024 – Beginners – Professional

The Full and Thorough Power BI Course: A Step-by-Step Guide with Practical Demonstrations Using Power BI.

What you’ll learn
Discover Business Intelligence tool for crafting impressive reports and dashboards.
Discover effective methods for visualizing data in a profound manner, unveiling unparalleled insights into your business operations.
Delve into the expansive capabilities of Power BI, seamlessly connecting to a diverse array of data sources such as SQL Server, Excel, CSV, JSON, XML, Web
Master the art of employing basic DAX to construct robust calculations and comparisons across multiple data tables.
Explore the depths of advanced DAX measures and calculated columns, delving into intricate calculations and sophisticated analysis techniques.
Acquaint yourself with Dataflows, the latest iteration incorporating CDM base and Azure Lake gen2, comprehending its functionality and database configuration
Utilize a diverse range of visual elements including column, line, pie, combo, scatter, treemap, funnel, gauges, and KPIs to create engaging
Effortlessly clean up disorganized data, customize your data model to fit your requirements, and enhance your reports for a polished and presentation
Become proficient in utilizing text boxes, shapes, images, maps, and various other visual elements
Turn raw data into actionable insights and dynamic visualizations that effectively convey a compelling narrative.
Access advanced functionalities such as Report page tooltips and Bookmarks to elevate the quality and effectiveness of your reports.
Harness the potential of Custom Visualizations and Themes within Power BI.
Enhance your data modeling skills and automate data cleansing processes.
Facilitate collaboration and content sharing on Microsoft’s robust platform.
Begin your Dashboard-in-a-day training, customized to suit your schedule and preferences, whether you’re working from home or at the office.
Acquire insights into Power BI best practices, and tricks for optimal utilization.
Foundational Concepts of building queries and prepping data for analysis.
Build relationships across multiple databases with Power Pivot

Requirements
No Experience Needed.

Description
By the end of this Course, I guarantee you that you can mention Power BI in your resume.Course Sections:This course is divided into Seven comprehensive sections, each unlocking a new layer of Power BI proficiency:Section 1: Beginner: Section 2: Intermediate:Section 3: Advanced: Sections 4: Expert:Section 5: Master:Section 6: Professional: Section 7: Exercise files: Who it’s aimed at: Novice Data Analysts: For those stepping into the realm of data analysis and visualization, this course offers a systematic approach to mastering the fundamental concepts and features of Power BI.Business Practitioners: Managers, executives, and professionals across diverse industries will uncover strategies for harnessing Power BI to interpret data and inform strategic decision-making processes effectively.Students and Recent Graduates: Aspiring analysts and recent graduates aiming to bolster their skill set for enhanced career opportunities will find this course indispensable.Entrepreneurs and Small Business Owners: Discover how to utilize data-driven insights to gain deeper understanding of your market, customers, and operational dynamics for improved business outcomes.IT Experts: IT professionals seeking to broaden their skill set with robust data analysis capabilities will find Power BI’s comprehensive features beneficial.Inquisitive Individuals: If you possess a curious mind and aspire to explore the realm of data, this course offers a gentle yet practical introduction to kickstart your journey.What it entails: Power BI stands as Microsoft’s comprehensive business analytics platform, meticulously crafted to handle extensive datasets, and efficiently organize, analyze, and visualize them through dynamic dashboards and interactive reports.What you’ll gain: Throughout this series, participants will delve into fundamental concepts pertaining to constructing queries and preparing data for analysis. They will grasp the art of establishing relationships across various databases using Power Pivot, while also acquiring proficiency in leveraging essential functions to elevate data analysis. Furthermore, they’ll become adept at crafting and navigating live dashboards and interactive reports, among other invaluable skills.Requirements: Power BI Desktop: Make sure you have Microsoft Power BI Desktop installed on your computer. You’ll use this tool to create insightful visualizations and analyze data.Internet Connection: A reliable internet connection is necessary for accessing course content, including video lectures, quizzes, and practice assignments.Basic Computer Skills: A fundamental understanding of using a computer, navigating software interfaces, and managing files will be beneficial.Curiosity and Enthusiasm: Bring your eagerness to learn and explore the world of data analytics with Power BI. Curiosity will drive your success in this course.Microsoft Account: You can use it to login to Power BI service. Also, having a Microsoft account can enhance your experience by allowing you to explore additional resources and connect with a broader community.

Overview
Section 1: Beginner

Lecture 1 Introduction

Lecture 2 Data Analytics and licensing options

Lecture 3 Products and Services

Lecture 4 Getting Data from Multiple Resources

Lecture 5 Savings

Lecture 6 Touring View

Lecture 7 Starting New Instances of Power BI Desktop

Lecture 8 Splash Screen

Lecture 9 Getting Data from Access Database

Lecture 10 Table Relationships and Settings

Lecture 11 Web URL

Lecture 12 Excel Files and Pivot Data Model

Lecture 13 Resolving Data Errors

Lecture 14 Implications of Locally Stored Vs. Cloud Based Excel Files

Lecture 15 Conclusion

Section 2: Intermediate

Lecture 16 Data Shaping

Lecture 17 Enhancing Data Structure

Lecture 18 Data Profiling Recap

Lecture 19 Introduction to a Data Model

Lecture 20 Working With Tables

Lecture 21 Fact Vs. Dimension

Lecture 22 Breaking Down Tables

Lecture 23 Creating Hierarchy

Lecture 24 Relationships AKA Cardinality

Lecture 25 Creating Relationships

Lecture 26 Reviewing The Model Interface

Lecture 27 Creating RLS Roles In Desktop

Lecture 28 Assigning Users to RLS Roles In Service

Lecture 29 Conclusion

Section 3: Advanced

Lecture 30 Introduction

Lecture 31 Creating Calculated Tables and DATEDIFF

Lecture 32 RANKX Lowest

Lecture 33 RANKX Highest

Lecture 34 RANKX DENSE

Lecture 35 Creating Quick Measures

Lecture 36 Creating Measures

Lecture 37 Creating Data Tables

Lecture 38 Time Intelligence Functions

Lecture 39 Key Performance Indicators

Lecture 40 Additional Key Performance Indicators

Lecture 41 DAX Recap

Lecture 42 Introduction To Optimizing Model Performance

Lecture 43 Publishing Dataset to Service

Lecture 44 Using Direct Query on Power BI Dataset

Lecture 45 Direct Query vs Import File Size Comparison

Lecture 46 Importance of Variables

Lecture 47 Building a Measure to Use in A Measure

Lecture 48 Building a Measure with Variables and Comments

Lecture 49 Adding Measures to Multi-Row Card

Lecture 50 Other Optimization Techniques

Lecture 51 Conclusion

Section 4: Expert

Lecture 52 Introduction

Lecture 53 Creating Reports with Pie Charts

Lecture 54 Adding Tooltips to Reports

Lecture 55 Formatting Reports with Pie Charts

Lecture 56 Filtering and Sorting Reports

Lecture 57 Sync Slicers

Lecture 58 Creating Drill Through Pages

Lecture 59 Creating Source Reports with Slicers

Lecture 60 Using Drill Through

Lecture 61 Formatting Drill Through Pages

Lecture 62 Formatting Two Objects at Once

Lecture 63 Conditional Formatting

Lecture 64 Bookmarks

Lecture 65 Accessibility Features

Lecture 66 Accessibility – Alt Text – Data Table – Focus View

Lecture 67 Accessibility – Tab Order

Lecture 68 Accessibility – Colorblind Friendly

Lecture 69 Adding the Histogram Visualization

Lecture 70 Creating Histograms

Lecture 71 Copy Visual

Lecture 72 Reports Recap

Lecture 73 Introduction to Creating Dashboards

Lecture 74 Creating Dashboards – Editing Published Reports and Pinning to a New Dashboard

Lecture 75 Introduction to Real-Time Dashboards

Lecture 76 Creating Push Datasets

Lecture 77 Creating Reports for Real-Time Dashboards

Lecture 78 Creating Forms for Pushing Data

Lecture 79 Creating Dashboards for Streaming Data

Lecture 80 Accessing Power Automate

Lecture 81 Creating a Flow to Push Form Data into Dataset

Lecture 82 Respond to Survey

Lecture 83 Viewing Real-Time Dashboards

Lecture 84 Enhancing Dashboards with Custom Themes

Lecture 85 Enhancing Dashboards with Videos

Lecture 86 Configuring Dashboard Tile Alerts

Lecture 87 Using Q and A and Quick Insights and Add to Dashboard.mp4

Lecture 88 More Dashboard Features

Lecture 89 Conclusion

Section 5: Master

Lecture 90 Introduction

Lecture 91 Loading Sample Data and Making Workspace Premium

Lecture 92 Downloading Report Builder and Creating Paginated Reports

Lecture 93 Sorting Reports in Design View

Lecture 94 Adding Report Headers and Making Them Repeat Across Pages

Lecture 95 Making Column Headers Repeat Across Pages and Publishing Reports

Lecture 96 Reviewing Paginated Reports – Print Preview and Export Options

Lecture 97 Paginted Reports Recap

Lecture 98 Introduction to Performing Advanced Analytics

Lecture 99 Accessing a Sample Desktop File from the Service

Lecture 100 Advanced Analytics – Grouping

Lecture 101 Advanced Analytics – Binning

Lecture 102 Advanced Analytics – Drill Down and Up

Lecture 103 Advanced Analytics – Analyze Feature

Lecture 104 Data Insights Through AI Visuals

Lecture 105 Creating Animated Scatter Charts

Lecture 106 Using Visuals to Forecast Values

Lecture 107 Creating Custom Analytics Visuals

Lecture 108 Conclusion

Section 6: Professional

Lecture 109 Introduction

Lecture 110 Sharing Dashboards

Lecture 111 Revoking Sharing Privileges

Lecture 112 Sharing Reports

Lecture 113 Copying Reports to Other Workspaces and Workspace Roles

Lecture 114 Creating and Publishing Apps

Lecture 115 Managing Wokspaces Recap

Lecture 116 Introduction to Managing Datasets

Lecture 117 Creating Parameters

Lecture 118 Editing Parameters in the Service and Refreshing Datasets and Visuals

Lecture 119 Refresh Options

Lecture 120 Managing Datasets Recap

Lecture 121 Conclusion

Section 7: Exercise Files

Lecture 122 Customer Data

Lecture 123 Dates

Lecture 124 Goals

Lecture 125 Histogram

Lecture 126 IT Spend Analysis Sample

Lecture 127 Sample Superstore

Lecture 128 Power BI

Lecture 129 Retail Analysis Sample

Lecture 130 Northwind.accdb

Lecture 131 Website Links for More Info

Business analysts, data analysts, and professionals at every level seeking to advance their expertise in data processing and visualization.