Microsoft Power BI for Beginners & Excel Users
Microsoft Power BI for Beginners & Excel Users, available at $44.99, has an average rating of 4.71, with 58 lectures, 4 quizzes, based on 7 reviews, and has 24 subscribers.
You will learn about Understand the basic features and functionalities of Power BI. Acquire skills in importing data from various sources and transforming it for analysis. Learn how to create simple visualizations like charts, graphs, and tables to represent data effectively. Grasp the fundamentals of data modeling and relationships within Power BI. Gain hands-on experience by working on practical exercises and projects that simulate real-world scenarios. Lay the groundwork for more advanced topics in Power BI by understanding the essentials thoroughly. Learn to publish and share report with stakeholders This course is ideal for individuals who are Business Professionals: Professionals from various industries who want to leverage Power BI to analyze and visualize data, make data-driven decisions, and communicate insights effectively within their organizations. or Students and Recent Graduates: Students pursuing degrees in business, analytics, or related fields who wish to gain practical skills in data analysis and visualization to enhance their academic studies or improve their employability. or Career Switchers: Individuals transitioning from non technical roles to roles that require data analysis skills, such as business analysts, data analysts, or data scientists, who need a solid foundation in Power BI to excel in their new careers. or Self-Learners and Enthusiasts: Individuals with a curiosity for data analysis and a desire to learn new skills, regardless of their professional background, who are motivated to explore the capabilities of Power BI and its applications in various contexts. It is particularly useful for Business Professionals: Professionals from various industries who want to leverage Power BI to analyze and visualize data, make data-driven decisions, and communicate insights effectively within their organizations. or Students and Recent Graduates: Students pursuing degrees in business, analytics, or related fields who wish to gain practical skills in data analysis and visualization to enhance their academic studies or improve their employability. or Career Switchers: Individuals transitioning from non technical roles to roles that require data analysis skills, such as business analysts, data analysts, or data scientists, who need a solid foundation in Power BI to excel in their new careers. or Self-Learners and Enthusiasts: Individuals with a curiosity for data analysis and a desire to learn new skills, regardless of their professional background, who are motivated to explore the capabilities of Power BI and its applications in various contexts.
Enroll now: Microsoft Power BI for Beginners & Excel Users
Summary
Title: Microsoft Power BI for Beginners & Excel Users
Price: $44.99
Average Rating: 4.71
Number of Lectures: 58
Number of Quizzes: 4
Number of Published Lectures: 58
Number of Published Quizzes: 4
Number of Curriculum Items: 63
Number of Published Curriculum Objects: 63
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand the basic features and functionalities of Power BI.
- Acquire skills in importing data from various sources and transforming it for analysis.
- Learn how to create simple visualizations like charts, graphs, and tables to represent data effectively.
- Grasp the fundamentals of data modeling and relationships within Power BI.
- Gain hands-on experience by working on practical exercises and projects that simulate real-world scenarios.
- Lay the groundwork for more advanced topics in Power BI by understanding the essentials thoroughly.
- Learn to publish and share report with stakeholders
Who Should Attend
- Business Professionals: Professionals from various industries who want to leverage Power BI to analyze and visualize data, make data-driven decisions, and communicate insights effectively within their organizations.
- Students and Recent Graduates: Students pursuing degrees in business, analytics, or related fields who wish to gain practical skills in data analysis and visualization to enhance their academic studies or improve their employability.
- Career Switchers: Individuals transitioning from non technical roles to roles that require data analysis skills, such as business analysts, data analysts, or data scientists, who need a solid foundation in Power BI to excel in their new careers.
- Self-Learners and Enthusiasts: Individuals with a curiosity for data analysis and a desire to learn new skills, regardless of their professional background, who are motivated to explore the capabilities of Power BI and its applications in various contexts.
Target Audiences
- Business Professionals: Professionals from various industries who want to leverage Power BI to analyze and visualize data, make data-driven decisions, and communicate insights effectively within their organizations.
- Students and Recent Graduates: Students pursuing degrees in business, analytics, or related fields who wish to gain practical skills in data analysis and visualization to enhance their academic studies or improve their employability.
- Career Switchers: Individuals transitioning from non technical roles to roles that require data analysis skills, such as business analysts, data analysts, or data scientists, who need a solid foundation in Power BI to excel in their new careers.
- Self-Learners and Enthusiasts: Individuals with a curiosity for data analysis and a desire to learn new skills, regardless of their professional background, who are motivated to explore the capabilities of Power BI and its applications in various contexts.
Dive into a course initially recorded live, making it engaging and interactive. You won’t just be passively learning; you’ll feel like you’re right there in the room with participants from the corporate world and learning solutions to REAL problems.
Here’s what you’ll learn in each unit:
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Introduction to Business Intelligence
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Overview of Business Intelligence
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The journey from data to wisdom
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Understanding the Business Intelligence process with Power BI
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Understanding the Data Cycle
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Exploring the limitations of traditional tools like Excel
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Reviewing different licensing options in Power BI
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Data Transformation Techniques in Power BI
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Introduction to Power BI Query Editor
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Common issues with data and how to identify them
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Steps for effective data cleaning:
Removing columns and rows
Setting the first row as header
Changing data types, replacing values, and removing spaces
Handling errors, renaming and optimizing steps
Filling down missing values, splitting columns, and removing duplicates
Tips and tricks to automate data cleaning
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Data Modeling and Enrichment
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Basics of data modelling and building relationships
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Understanding filter propagation and cardinality
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Best practices in data model construction
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Introduction to data enrichment: Creating calculated columns and measures
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Basics of Data Visualization
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Familiarization with native and custom visuals in Power BI
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Hands-on creation of various charts (pie, line, bar), tables, and cards
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Techniques for drilling down hierarchies and setting visual interactions
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Formatting visuals and reports, including titles, legends, and axes
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Utilizing slicers and different levels of filtering
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Applying conditional formatting
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Embedding images into reports
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Publishing and Sharing Insights
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Steps to publish reports and set default user experiences
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Creating and managing workspaces for collaboration
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Strategies for sharing reports effectively
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Designing reports for mobile layouts
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Course Curriculum
Chapter 1: Introduction
Lecture 1: Meet The Trainer
Lecture 2: Trainer Introduction
Lecture 3: Introduction to Power BI
Lecture 4: Three Key Steps to Becoming a Skilled Data Analyst
Lecture 5: Disney's Magic Band
Lecture 6: Transition to a data analyst
Lecture 7: Power BI – The Game Changer !
Lecture 8: Power BI Ecosystem
Chapter 2: Data Cycle
Lecture 1: Data Cycle Part 1
Lecture 2: Data Cycle Part 2
Lecture 3: Article: The Ultimate Power BI Tools Guide
Lecture 4: The Rise and Fall of Amazon's AI Hiring Tool: Lessons Learned
Lecture 5: Coca-Cola Data-Driven Distribution
Lecture 6: Sales Data
Chapter 3: Data Transformation
Lecture 1: Data Transformation Part 1
Lecture 2: Data Transformation Part 2
Lecture 3: Data Transformation Part 3
Lecture 4: The Cambridge Analytica Saga: How Data Changed Politics Forever
Lecture 5: Working hard vs. working smart
Lecture 6: 10 most important Data Transformation Theory
Lecture 7: Common mistakes to avoid when working on Power BI Desktop
Chapter 4: Data Modelling
Lecture 1: Data Modelling Part 1
Lecture 2: Schemas in a Data Model
Lecture 3: Data Modelling Part 2
Lecture 4: Data Modelling Part 3
Lecture 5: Parrot Analytics
Lecture 6: Basic Logical Functions in DAX
Lecture 7: Calculated columns in DAX
Lecture 8: Calculated Measures in DAX
Lecture 9: Calculated Columns vs. Calculated Measure
Chapter 5: Data Visualisation
Lecture 1: Data Visualisation Part 1
Lecture 2: Data Visualisation Part 2
Lecture 3: Data Visualisation Part 3
Lecture 4: Creating Dynamic Bar Chart in Power BI
Lecture 5: Pretty and Interesting Reports
Lecture 6: Top keyboard shortcuts in Power BI
Lecture 7: Two ways to create bubble maps in Power BI
Chapter 6: Sharing
Lecture 1: Sharing
Lecture 2: Pregnancy and the power of data
Lecture 3: Top data experts mindset
Lecture 4: Top Power BI Tricks
Lecture 5: The Ultimate Power BI Tools Guide
Chapter 7: Final Assessment
Lecture 1: From Core Skills to Applied Mastery
Lecture 2: How Do i Practice?
Chapter 8: Take Home Material
Lecture 1: Getting Data from Data Sources
Lecture 2: Data Transformation
Lecture 3: Data Modeling
Lecture 4: Introduction to DAX
Lecture 5: Creating Date Table
Lecture 6: Data Visualization
Lecture 7: Filters
Lecture 8: Power BI Desktop Features
Lecture 9: Power BI Service Features
Lecture 10: Dashboard in Power BI Service
Lecture 11: Quick Insights in Power BI
Lecture 12: Power BI Samples
Lecture 13: Power BI Mobile
Lecture 14: What would I do if I had to start over again?
Instructors
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Ali Asghar Noorani
Power BI Trainer & Consultant at AMZ Consulting
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 2 votes
- 5 stars: 5 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!
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