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From Excel to Power BI

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From Excel to Power BI, available at $44.99, has an average rating of 3.75, with 47 lectures, 6 quizzes, based on 2 reviews, and has 16 subscribers.

You will learn about Understand why your company and its employees must develop data skills today and begin treating data as an asset. A review of the history of business intelligence (BI) is needed to understand the attributes and challenges of traditional BI. Gain an understanding of why self-service BI has emerged and how it enables everyone in a company to work with data. Learn how to turn your organization into a data-driven company by following the steps described for planning and implementing self-service BI. Showcase a future learning path for Excel users to become data analysts using the low-code Power BI tools in Excel, Power BI Desktop, and Power BI Service. Begin with Excel—Showcase Power Query and Power Pivot to connect to various data sources, transform the data, and model the data for analysis. Transition to Power BI Desktop- Showcasing how to explore and analyze data with DAX functions, AI, and visualizations. Collaborate in Power BI Service- Showcasing how Excel users transformed into data analysts can share content in the Power Platform with your data consumers. This course is ideal for individuals who are This course is for Excel users and small businesses interested in initiating their data analytics journey using Power BI. It is particularly useful for This course is for Excel users and small businesses interested in initiating their data analytics journey using Power BI.

Enroll now: From Excel to Power BI

Summary

Title: From Excel to Power BI

Price: $44.99

Average Rating: 3.75

Number of Lectures: 47

Number of Quizzes: 6

Number of Published Lectures: 47

Number of Published Quizzes: 6

Number of Curriculum Items: 53

Number of Published Curriculum Objects: 53

Original Price: $54.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understand why your company and its employees must develop data skills today and begin treating data as an asset.
  • A review of the history of business intelligence (BI) is needed to understand the attributes and challenges of traditional BI.
  • Gain an understanding of why self-service BI has emerged and how it enables everyone in a company to work with data.
  • Learn how to turn your organization into a data-driven company by following the steps described for planning and implementing self-service BI.
  • Showcase a future learning path for Excel users to become data analysts using the low-code Power BI tools in Excel, Power BI Desktop, and Power BI Service.
  • Begin with Excel—Showcase Power Query and Power Pivot to connect to various data sources, transform the data, and model the data for analysis.
  • Transition to Power BI Desktop- Showcasing how to explore and analyze data with DAX functions, AI, and visualizations.
  • Collaborate in Power BI Service- Showcasing how Excel users transformed into data analysts can share content in the Power Platform with your data consumers.

Who Should Attend

  • This course is for Excel users and small businesses interested in initiating their data analytics journey using Power BI.

Target Audiences

  • This course is for Excel users and small businesses interested in initiating their data analytics journey using Power BI.

In today’s information age economy, data has become essential for business success. Your company and its employees must adapt by developing strong data skills and treating data as an asset.

Welcome to “From Excel to PBI: Planning and Implementing Self-Service BI with the Power BI Ecosystem,” a course designed to empower everyone in your organization to harness the power of data using the low-code tools of the Power BI ecosystem.

Throughout this course, we’ll delve into key topics essential for becoming a data-driven company:

  1. Planning for Self-Service BI:

    • Investing in Data Literacy

    • Developing a Data Strategy

    • Adopting Agile Methodology

    • Implementing Data Governance

  1. Implementing Self-Service BI:

    • Understanding Data Roles

    • Building a Data Creators’ Team

    • Leveraging Power BI in the Cloud

    • Mastering Data Storytelling

    • Administering Power BI

    • Navigating the Workflow of a Data Initiative

  1. Demonstrating the Learning Path for Excel Users:

    • Starting with Excel’s Power Query and Power Pivot

    • Transitioning to Power BI Desktop for Advanced Analysis and Visualizations

    • Collaborating in Power BI Service as part of the Power Platform

I’m Virginia Collins, CPA, and Microsoft PL-300 Data Analytics Associate Certified. With years of experience developing CPE courses for CPAs in Excel and Power BI, I’m dedicated to enhancing your data skills.

By enrolling in this course, you’ll kickstart your journey towards data literacy, empowering your company to thrive in the data-driven era. Don’t miss this opportunity to unlock the potential of your data—click the buy button now!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction

Lecture 2: Outline Planning and Implementing data analytics

Lecture 3: Outline Demonstration of learning path for Excel users to become data analysts

Lecture 4: Course Resources

Lecture 5: Why do your business and business users need to develop data skills today ?

Lecture 6: Is data an asset of your company?

Lecture 7: What data management process can we use?

Chapter 2: History of Business Intelligence

Lecture 1: What is traditional business intelligence

Lecture 2: Why have business intelligence projects been historically unsuccessful?

Chapter 3: What is Self Service Business Intelligence

Lecture 1: Why has Self-Service Business Intelligence emerged?

Lecture 2: What is Self-Service Business Intelligence?

Lecture 3: What are the limitations of Excel when it comes to working with data?

Lecture 4: What are the data analysis tools that are available in Excel?

Lecture 5: What do you need to know about Power Query

Lecture 6: What do you need to know about Power Pivot?

Chapter 4: Planning For Self-Service Business Intelligence

Lecture 1: How can you plan for Self-Service BI?

Lecture 2: What should your data literacy plan include?

Lecture 3: What are some sample data strategies?

Lecture 4: Why is Agile the project methodology for Self-Service BI?

Lecture 5: Why does Self- Service BI need a new area of data governance?

Chapter 5: Implementing Self-Service Business Intelligence

Lecture 1: How can you implement Self-Service BI

Lecture 2: Data Roles for Self-Service BI

Lecture 3: How can you begin developing your data creators?

Lecture 4: What is the Power Platform?

Lecture 5: What are the components and building blocks of Power BI?

Lecture 6: How does collaboration work in the Power BI Service?

Lecture 7: How can different levels of data literacy communicate?

Lecture 8: How can we adminster the Power BI ecosytem?

Lecture 9: What are the steps in a data initiative?

Chapter 6: Key Takeaways

Lecture 1: What do you need to get right to succeed in implementing data analytics?

Lecture 2: What is the learning path for developing Your Data Creator Team?

Chapter 7: Learning Path – Begin with Excel

Lecture 1: Connectors , Power Query Interface and Append Operation

Lecture 2: Transformations in Power Query

Lecture 3: Use Cases in Power Query

Lecture 4: Data Modeling in Power Pivot

Chapter 8: Learning Path- Transition to Power BI Desktop

Lecture 1: DAX Measures- Aggregators, Iterators, CALCULATE, Time Intelligence, Ranking

Lecture 2: Exploratory Analysis- Anomaly and Forecasting

Lecture 3: Exploratory Analysis- AI Visualizations

Lecture 4: Curating Visualizations – Tooltips and Small Multiples

Lecture 5: Curating Visualizations – Navigation, Bookmarks and Buttons, and Synch Slicers

Lecture 6: Curating Visualizations -Hierarchies and Drill Throughs

Chapter 9: Learning Path- Collaborate with Power BI Service

Lecture 1: Data Initiative -Example

Lecture 2: Workspaces

Lecture 3: Report and Semantic Model

Lecture 4: APPS and Dashboards

Lecture 5: Dataflows

Lecture 6: Feature Review and Conclusion

Instructors

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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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