Microsoft Power BI Mastery: From Beginner to Advanced

Microsoft Power BI Mastery: From Beginner to Advanced, available at $44.99, has an average rating of 4.5, with 113 lectures, based on 35 reviews, and has 2488 subscribers.

You will learn about Gain a solid understanding of Power BI, its history, and the key components involved. Learn how to install Power BI and navigate through its design development Explore various file menu options and understand data import functionalities. Master data modeling techniques, including data cleansing, transformations Understand relationships, cardinality, and cross-filtering in Power BI, along with the difference between Direct Query and Import. Dive into Power BI visuals, exploring different chart types, visualizations, and customizations. Learn about Power BI dashboards, apps, and various roles and restrictions for sharing and publishing. Explore advanced topics such as DAX (Data Analysis Expressions) for powerful calculations and modeling. Understand best practices, tips, and tricks for efficient Power BI usage. Analyze and visualize data effectively using Power BI tools and techniques. Explore Power BI's architecture, data modeling, and comparison with other BI tools. Create interactive and insightful reports, applying DAX functions and utilizing cheat sheets for quick references. Learn advanced data analysis and visualization techniques, including importing data from Excel, creating calculated tables, and using various charts. Understand the Power BI architecture, data modeling, and comparisons with other BI tools. Explore data visualization features, such as clustered column charts, stacked column charts, pie charts, and more. Dive into DAX functions, logical functions, date functions, and information functions for enhanced data manipulation. Acquire practical skills through hands-on demos, case studies, and real-world examples. By the end of the course, students will be proficient in using Power BI for effective data analysis, visualization, and reporting across various businesses This course is ideal for individuals who are Business Analysts: Professionals who need to analyze and visualize data for business insights. or Data Analysts: Individuals responsible for collecting, processing, and analyzing data sets to inform business decisions. or Data Scientists: Those who want to enhance their data visualization skills and use Power BI for effective communication of insights. or Business Intelligence Professionals: Professionals working in the field of BI who want to expand their knowledge and skills with Power BI. or IT Professionals: Individuals in IT roles aiming to leverage Power BI for data analysis and reporting. or Managers and Decision-Makers: Executives and decision-makers who want to understand and interpret data-driven insights using Power BI. or Students and Aspiring Data Professionals: Those who are studying or aspiring to enter the field of data analytics, business intelligence, or data science. or This course is suitable for a wide range of professionals and learners who wish to harness the power of Power BI for effective data analysis and visualization in their respective domains. It is particularly useful for Business Analysts: Professionals who need to analyze and visualize data for business insights. or Data Analysts: Individuals responsible for collecting, processing, and analyzing data sets to inform business decisions. or Data Scientists: Those who want to enhance their data visualization skills and use Power BI for effective communication of insights. or Business Intelligence Professionals: Professionals working in the field of BI who want to expand their knowledge and skills with Power BI. or IT Professionals: Individuals in IT roles aiming to leverage Power BI for data analysis and reporting. or Managers and Decision-Makers: Executives and decision-makers who want to understand and interpret data-driven insights using Power BI. or Students and Aspiring Data Professionals: Those who are studying or aspiring to enter the field of data analytics, business intelligence, or data science. or This course is suitable for a wide range of professionals and learners who wish to harness the power of Power BI for effective data analysis and visualization in their respective domains.

Enroll now: Microsoft Power BI Mastery: From Beginner to Advanced

Summary

Title: Microsoft Power BI Mastery: From Beginner to Advanced

Price: $44.99

Average Rating: 4.5

Number of Lectures: 113

Number of Published Lectures: 113

Number of Curriculum Items: 113

Number of Published Curriculum Objects: 113

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Gain a solid understanding of Power BI, its history, and the key components involved. Learn how to install Power BI and navigate through its design development
Explore various file menu options and understand data import functionalities. Master data modeling techniques, including data cleansing, transformations
Understand relationships, cardinality, and cross-filtering in Power BI, along with the difference between Direct Query and Import.
Dive into Power BI visuals, exploring different chart types, visualizations, and customizations.
Learn about Power BI dashboards, apps, and various roles and restrictions for sharing and publishing.
Explore advanced topics such as DAX (Data Analysis Expressions) for powerful calculations and modeling.
Understand best practices, tips, and tricks for efficient Power BI usage. Analyze and visualize data effectively using Power BI tools and techniques.
Explore Power BI's architecture, data modeling, and comparison with other BI tools.
Create interactive and insightful reports, applying DAX functions and utilizing cheat sheets for quick references.
Learn advanced data analysis and visualization techniques, including importing data from Excel, creating calculated tables, and using various charts.
Understand the Power BI architecture, data modeling, and comparisons with other BI tools.
Explore data visualization features, such as clustered column charts, stacked column charts, pie charts, and more.
Dive into DAX functions, logical functions, date functions, and information functions for enhanced data manipulation.
Acquire practical skills through hands-on demos, case studies, and real-world examples.
By the end of the course, students will be proficient in using Power BI for effective data analysis, visualization, and reporting across various businesses

Who Should Attend

Business Analysts: Professionals who need to analyze and visualize data for business insights.
Data Analysts: Individuals responsible for collecting, processing, and analyzing data sets to inform business decisions.
Data Scientists: Those who want to enhance their data visualization skills and use Power BI for effective communication of insights.
Business Intelligence Professionals: Professionals working in the field of BI who want to expand their knowledge and skills with Power BI.
IT Professionals: Individuals in IT roles aiming to leverage Power BI for data analysis and reporting.
Managers and Decision-Makers: Executives and decision-makers who want to understand and interpret data-driven insights using Power BI.
Students and Aspiring Data Professionals: Those who are studying or aspiring to enter the field of data analytics, business intelligence, or data science.
This course is suitable for a wide range of professionals and learners who wish to harness the power of Power BI for effective data analysis and visualization in their respective domains.

Target Audiences

Business Analysts: Professionals who need to analyze and visualize data for business insights.
Data Analysts: Individuals responsible for collecting, processing, and analyzing data sets to inform business decisions.
Data Scientists: Those who want to enhance their data visualization skills and use Power BI for effective communication of insights.
Business Intelligence Professionals: Professionals working in the field of BI who want to expand their knowledge and skills with Power BI.
IT Professionals: Individuals in IT roles aiming to leverage Power BI for data analysis and reporting.
Managers and Decision-Makers: Executives and decision-makers who want to understand and interpret data-driven insights using Power BI.
Students and Aspiring Data Professionals: Those who are studying or aspiring to enter the field of data analytics, business intelligence, or data science.
This course is suitable for a wide range of professionals and learners who wish to harness the power of Power BI for effective data analysis and visualization in their respective domains.

Welcome to the “Microsoft Power BI Mastery” course! This comprehensive program is designed to empower you with the skills and knowledge needed to become proficient in Microsoft Power BI, from foundational concepts to advanced data analysis and visualization techniques.

In this course, we will embark on a journey through the key features and functionalities of Power BI, starting with the basics and gradually progressing to advanced topics. Whether you’re a beginner looking to grasp the fundamentals or an experienced user aiming to enhance your capabilities, this course is tailored to meet your needs.

Our course structure is meticulously crafted to ensure a seamless learning experience. We will cover essential aspects such as Power BI’s history, components, and installation process. Practical sessions will guide you through data import, modeling, and visualization, providing hands-on experience to reinforce your understanding.

As we advance, we’ll dive into the realm of Data Analysis Expressions (DAX), where you’ll learn powerful techniques for manipulating and analyzing data. The course includes in-depth explorations of various visualization tools, functions, and best practices, equipping you with the skills to derive meaningful insights from your data.

Whether you’re a business professional, data analyst, or anyone keen on harnessing the full potential of Power BI, this course will empower you to navigate the tool with confidence, extract valuable insights, and create compelling visualizations. Get ready to elevate your data analysis and reporting skills with Microsoft Power BI Mastery!

Section 1: Microsoft Power BI – Beginners to Advanced

Lecture 1-3: The section begins with an introductory overview of Microsoft Power BI, defining its key features and functionalities. The target audience and course applicability are discussed, setting the stage for beginners. A historical perspective on Power BI provides context for its evolution and relevance in the business intelligence landscape.

Lecture 4-9: Delving into the practical aspects, the section covers the components and roles within Power BI. It navigates through the installation process of Power BI, ensuring that beginners can set up the tool effectively. Design principles and the development process using Power BI Desktop are introduced, along with an exploration of key components and their associated pricing models. The chapter review consolidates the knowledge gained.

Lecture 10-19: The subsequent lectures explore critical aspects of Power BI, such as file menu options, data import procedures, and relationships between different data elements. Practical insights into visualization options, modeling techniques, data cleansing, and diverse data input methods are provided. Adding columns, applying transformations, and importing data are demonstrated to equip learners with hands-on skills.

Lecture 20-29: Building on the foundational knowledge, this part of the section extensively covers user roles, views, and modeling options. Cardinality concepts, cross-filtering techniques, and the choice between direct query and import methods are elucidated. Practical examples and samples further solidify the understanding of these complex topics.

Lecture 30-37: The section concludes with an overview of transformations, diving into the intricacies of data transformation processes. The introduction to Power BI visuals by Microsoft is followed by a comprehensive exploration of various visualizations available in the marketplace. Dashboards, apps, roles, and restrictions are discussed, and the section culminates with practical examples, ways to share, publish, and mechanisms for refreshing and subscribing to data.

Lecture 38-49: The final part of Section 1 introduces learners to the Data Analysis Expressions (DAX) language, a powerful tool for data analysis in Power BI. Topics include DAX operations, functions, and best practices, providing a solid foundation for learners to utilize DAX effectively. Cheat sheets, tips, and tricks are shared to enhance the practical application of DAX functions.

Section 2: Power BI – Analyzing & Visualizing Data

Lecture 86-113: Transitioning to Section 2, the course covers an array of topics related to analyzing and visualizing data in Power BI. Beginning with an introduction to Power BI and its application in data analysis, the lectures explore the process of obtaining data and the architecture of Power BI. Learners are guided through the intricacies of data modeling, creating tables, and the functionalities of the report tab.

Continuing the journey through Power BI, the lectures delve into calculated tables, clustered column charts, stacked column charts, and various visualization techniques. The process of importing Excel data, publishing reports, and implementing themes and tabs is elucidated. An in-depth understanding of DAX is provided, with a focus on aggregations, counting functions, and logical functions. The section concludes with a comprehensive exploration of various DAX functions, providing learners with a robust toolkit for data analysis.

This extensive course equips learners with the skills and knowledge necessary to navigate the complexities of Microsoft Power BI, from its foundational features to advanced data analysis and visualization techniques using DAX. The structured approach ensures a seamless learning experience for beginners and those looking to enhance their proficiency in Power BI.

Course Curriculum

Chapter 1: Microsoft Power BI – Beginners to Advanced

Lecture 1: Introduction to Power BI

Lecture 2: Target Audience and Course Applicabiltiy

Lecture 3: History of PowerBI

Lecture 4: Components and Roles

Lecture 5: Installation of PowerBI

Lecture 6: Design

Lecture 7: Develop Using PowerBI Desktop

Lecture 8: Key Components and Pricing

Lecture 9: Review of Chapter

Lecture 10: File Menu Options

Lecture 11: Data Import

Lecture 12: Seeing the Output on Visualizations

Lecture 13: Basic Data Relationship

Lecture 14: Exploring View

Lecture 15: Modelling Option in Menu Bar

Lecture 16: Data Cleansingh and Import

Lecture 17: Types of Data Imputs

Lecture 18: Add column Feature

Lecture 19: Transformations

Lecture 20: Import Data

Lecture 21: User Roles

Lecture 22: View

Lecture 23: Modelling Options

Lecture 24: View and Modelling Menu Options

Lecture 25: Cardinality

Lecture 26: Cardinality Continue

Lecture 27: Direction

Lecture 28: Cross Filtering

Lecture 29: Direct Query Vs Import

Lecture 30: Samples

Lecture 31: Conclusion

Lecture 32: Transformation Introduction

Lecture 33: Json File Import Transforms

Lecture 34: Mquery

Lecture 35: Query Function

Lecture 36: Function Remark

Lecture 37: Concluding Recapof Datatransformation

Lecture 38: Concluding Recapof Datatransformation Continue

Lecture 39: Intro to POwerBI Visuals by MS

Lecture 40: Bar Chart

Lecture 41: Area Chart

Lecture 42: Card

Lecture 43: Combo Chart

Lecture 44: Donut Chart

Lecture 45: Funnel Chart

Lecture 46: KPI

Lecture 47: Matrix

Lecture 48: MAP

Lecture 49: Other Visualizations

Lecture 50: Intro to Visualizations from Marketplace

Lecture 51: Visualization Samples Part 1

Lecture 52: Visualization Samples Part 2

Lecture 53: Visualization Samples Part 3

Lecture 54: Visualization Samples Part 4

Lecture 55: Dashboards

Lecture 56: Dashboards Continue

Lecture 57: More on Dashboards

Lecture 58: Apps

Lecture 59: Roles and Restrictions

Lecture 60: Conclusion – Example

Lecture 61: Conclusion – Example Continue

Lecture 62: Ways to Share and Publish

Lecture 63: Ways to Share and Publish Continue

Lecture 64: Schedule Refresh

Lecture 65: Subscription – Pull Mechanism

Lecture 66: Alert-Push Mechanism

Lecture 67: Summary of Session

Lecture 68: Introduction to DAX

Lecture 69: DAX Continue

Lecture 70: DAX Demo

Lecture 71: DAX Operation

Lecture 72: DAX Functions

Lecture 73: Dax Functions Continue

Lecture 74: DAX-PowerBi Sample

Lecture 75: DAX Recap

Lecture 76: Best Practice

Lecture 77: Best Practice Continue

Lecture 78: Cheat Sheet Part 1

Lecture 79: Cheat Sheet Part 2

Lecture 80: Cheat Sheet Part 3

Lecture 81: Cheat Sheet Part 4

Lecture 82: Cheat Sheet Part 5

Lecture 83: Cheat Sheet Part 6

Lecture 84: Tips and Tricks

Lecture 85: Conclusion

Chapter 2: Power BI – Analyzing & Visualizing Data

Lecture 1: Introduction to Power BI

Lecture 2: Introduction to Power BI Continue

Lecture 3: Get Data

Lecture 4: Get Data Continue

Lecture 5: Power BI Architecture

Lecture 6: Power BI Comparison

Lecture 7: Power BI -Data Modeling

Lecture 8: Creating Table

Lecture 9: Report Tab

Lecture 10: Calculated Table

Lecture 11: Clustered Column Chart

Lecture 12: Power BI – Data Visualization

Lecture 13: Stacked Column Chart

Instructors

EDUCBA Bridging the Gap
Learn real world skills online

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 3 votes
4 stars: 9 votes
5 stars: 22 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu