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:

1. Introduction to Business Intelligence

2. Overview of Business Intelligence

3. The journey from data to wisdom

4. Understanding the Business Intelligence process with Power BI

2. Understanding the Data Cycle

3. Exploring the limitations of traditional tools like Excel

4. Reviewing different licensing options in Power BI

3. Data Transformation Techniques in Power BI

4. Introduction to Power BI Query Editor

5. Common issues with data and how to identify them

6. 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

4. Data Modeling and Enrichment

5. Basics of data modelling and building relationships

6. Understanding filter propagation and cardinality

7. Best practices in data model construction

8. Introduction to data enrichment: Creating calculated columns and measures

5. Basics of Data Visualization

6. Familiarization with native and custom visuals in Power BI

7. Hands-on creation of various charts (pie, line, bar), tables, and cards

8. Techniques for drilling down hierarchies and setting visual interactions

9. Formatting visuals and reports, including titles, legends, and axes

10. Utilizing slicers and different levels of filtering

11. Applying conditional formatting

12. Embedding images into reports

6. Publishing and Sharing Insights

7. Steps to publish reports and set default user experiences

8. Creating and managing workspaces for collaboration

9. Strategies for sharing reports effectively

10. Designing reports for mobile layouts

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: Disneys 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 Amazons 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

Ali Asghar Noorani
Power BI Trainer & Consultant at AMZ Consulting

Rating Distribution

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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!