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From Excel to Power BI

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Virginia Collins

4:30:35

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  • 1 - Course Introduction.mp4
    07:00
  • 2 - Outline Planning and Implementing data analytics.mp4
    03:55
  • 3 - Outline Demonstration of learning path for Excel users to become data analysts.mp4
    04:18
  • 4 - Course Resources.mp4
    02:30
  • 5 - Why do your business and business users need to develop data skills today.mp4
    02:49
  • 6 - Is data an asset of your company.mp4
    01:36
  • 7 - What data management process can we use.mp4
    01:27
  • Files.zip
  • 8 - What is traditional business intelligence.mp4
    02:22
  • 9 - Why have business intelligence projects been historically unsuccessful.mp4
    03:40
  • 10 - Why has SelfService Business Intelligence emerged.mp4
    02:39
  • 11 - What is SelfService Business Intelligence.mp4
    02:37
  • 12 - What are the limitations of Excel when it comes to working with data.mp4
    02:26
  • 13 - What are the data analysis tools that are available in Excel.mp4
    01:57
  • 14 - What do you need to know about Power Query.mp4
    02:56
  • 15 - What do you need to know about Power Pivot.mp4
    01:37
  • 16 - How can you plan for SelfService BI.mp4
    02:25
  • 17 - What should your data literacy plan include.mp4
    03:16
  • 18 - What are some sample data strategies.mp4
    03:09
  • 19 - Why is Agile the project methodology for SelfService BI.mp4
    05:46
  • 20 - Why does Self Service BI need a new area of data governance.mp4
    04:38
  • 3 - Implementing SelfService BI Quiz.html
  • 21 - How can you implement SelfService BI.mp4
    05:19
  • 22 - Data Roles for SelfService BI.mp4
    05:06
  • 23 - How can you begin developing your data creators.mp4
    04:35
  • 24 - What is the Power Platform.mp4
    03:49
  • 25 - What are the components and building blocks of Power BI.mp4
    05:14
  • 26 - How does collaboration work in the Power BI Service.mp4
    04:39
  • 27 - How can different levels of data literacy communicate.mp4
    05:16
  • 28 - How can we adminster the Power BI ecosytem.mp4
    04:20
  • 29 - What are the steps in a data initiative.mp4
    05:32
  • 30 - What do you need to get right to succeed in implementing data analytics.mp4
    04:07
  • 31 - What is the learning path for developing Your Data Creator Team.mp4
    05:34
  • 32 - Connectors Power Query Interface and Append Operation.mp4
    13:15
  • 33 - Transformations in Power Query.mp4
    14:56
  • 34 - Use Cases in Power Query.mp4
    08:45
  • 35 - Data Modeling in Power Pivot.mp4
    20:12
  • 36 - DAX Measures Aggregators Iterators CALCULATE Time Intelligence Ranking.mp4
    18:05
  • 37 - Exploratory Analysis Anomaly and Forecasting.mp4
    09:43
  • 38 - Exploratory Analysis AI Visualizations.mp4
    10:27
  • 39 - Curating Visualizations Tooltips and Small Multiples.mp4
    08:04
  • 40 - Curating Visualizations Navigation Bookmarks and Buttons and Synch Slicers.mp4
    06:45
  • 41 - Curating Visualizations Hierarchies and Drill Throughs.mp4
    04:01
  • 42 - Data Initiative Example.mp4
    09:07
  • 43 - Workspaces.mp4
    05:18
  • 44 - Report and Semantic Model.mp4
    09:32
  • 45 - APPS and Dashboards.mp4
    06:44
  • 46 - Dataflows.mp4
    05:38
  • 47 - Feature Review and Conclusion.mp4
    03:29
  • Description


    Planning and Implementing Self-Service BI with the Power BI Ecosystem

    What You'll 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 is this for?


  • This course is for Excel users and small businesses interested in initiating their data analytics journey using Power BI.
  • What You Need to Know?


  • Experience with the tools and features of the Power BI ecosystem is optional. Knowledge of Excel is helpful.
  • More details


    Description

    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!


    Who this course is for:

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

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    Virginia Collins
    Virginia Collins
    Instructor's Courses
    Virginia Collins, CPA, CITP, founder of Numbers to Data, LLC, empowers Excel users and small businesses to embrace data literacy. With 30+ years in public accounting, she specializes in data analytics and business intelligence. Virginia's courses for CPAs and consultations with small businesses guide professionals and companies toward becoming data-driven decision-makers.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 47
    • duration 4:30:35
    • Release Date 2024/08/12