Complete Introduction to Microsoft Power BI
Complete Introduction to Microsoft Power BI, available at $99.99, has an average rating of 4.6, with 82 lectures, based on 38943 reviews, and has 129247 subscribers.
You will learn about Enjoy CLEAR and CONCISE step by step lessons from a best selling Udemy instructor in FULL HD 1080 P video Learn to create POWERFUL reports and dashboards with Microsoft Power BI with a few clicks of the mouse Gain valuable INSIGHT and INTELLIGENCE from your business and marketing data in a FRACTION of the time of traditional spreadsheets PUBLISH reports and dashboards on the Internet and view using laptops, tablets or smartphones in minutes Learn to create Data Models and use the DAX Formula language to develop POWERFUL calculations Easily create a wide range of GRAPHS and VISUALISATIONS using drag and drop technologies Use the Power BI Q & A feature to easily ask QUESTIONS of your data and provide new insight This course is ideal for individuals who are All Excel users who work with data, reports or dashboards or All existing Business Intelligence developers and users or Anyone who wants to get an excellent foundation in how to use Power BI from beginner level It is particularly useful for All Excel users who work with data, reports or dashboards or All existing Business Intelligence developers and users or Anyone who wants to get an excellent foundation in how to use Power BI from beginner level.
Enroll now: Complete Introduction to Microsoft Power BI
Summary
Title: Complete Introduction to Microsoft Power BI
Price: $99.99
Average Rating: 4.6
Number of Lectures: 82
Number of Published Lectures: 82
Number of Curriculum Items: 82
Number of Published Curriculum Objects: 82
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
- Enjoy CLEAR and CONCISE step by step lessons from a best selling Udemy instructor in FULL HD 1080 P video
- Learn to create POWERFUL reports and dashboards with Microsoft Power BI with a few clicks of the mouse
- Gain valuable INSIGHT and INTELLIGENCE from your business and marketing data in a FRACTION of the time of traditional spreadsheets
- PUBLISH reports and dashboards on the Internet and view using laptops, tablets or smartphones in minutes
- Learn to create Data Models and use the DAX Formula language to develop POWERFUL calculations
- Easily create a wide range of GRAPHS and VISUALISATIONS using drag and drop technologies
- Use the Power BI Q & A feature to easily ask QUESTIONS of your data and provide new insight
Who Should Attend
- All Excel users who work with data, reports or dashboards
- All existing Business Intelligence developers and users
- Anyone who wants to get an excellent foundation in how to use Power BI from beginner level
Target Audiences
- All Excel users who work with data, reports or dashboards
- All existing Business Intelligence developers and users
- Anyone who wants to get an excellent foundation in how to use Power BI from beginner level
According to Microsoft, Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data might be an Excel spreadsheet, or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources, visualize and discover what’s important, and share that with anyone or everyone you want. It is made up of three elements – a Windows desktop application called Power BI Desktop, an online software as a service (SaaS) service called the Power BI service and Power BI Mobile apps for Windows, iOS, and Android devices – all designed to let you create, share, and consume business insights in the way that serves you and your role most effectively.
If you would like to become a Power BI master then this course will give you all the knowledge and skills you need!
COURSE CONTENT AND OUTCOMES:
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Understand the flow of using Power BI, from connecting to various data sources, importing these into Power BI, transforming the data and then presenting it effectively
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Learn how to use Power BI Desktop, Power BI Query Editor & the Power BI Service
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Learn how to create relationships between related data sources
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Learn how to build reports with various types of aggregations and filters
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Learn about the various types of visualizations possible in Power BI and how to use them
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Learn how to create interactive dashboards with drill throughs and relative date filters
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Learn how to publish dashboards to the web and mobile app
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Learn how to use themes and custom visualizations
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Learn about DAX and how to use it to build measures
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Learn how to work with Excel & Power BI to create a dynamic and effective business solution
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Learn how to put this all into practice with a case study about the Corona Virus.
REQUIREMENTS:
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You will need to have a PC/Windows laptop loaded with the latest version of Microsoft Power BI (available as a free download). Note that Power BI does not currently run natively on a Mac.
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Whilst this course is designed to cover Power BI from the ground up, some experience of working with data in Excel would be beneficial.
ABOUT THE TRAINER
I am a Udemy Instructor Partner with more than 20 years’ experience in training & management consulting. I specialise in training business users to learn powerful methods and techniques to transform data into useful information and intelligence as well as learning strong data analysis methodology using Microsoft Excel, Microsoft Power BI, Looker Studio (formerly Google Data Studio), Amazon QuickSight and ChatGPT.
WHAT STUDENTS ARE SAYING
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It was a great course. Highly recommended for people interesting to develop new skills and knowledge in data analytics tools.
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The step-by-step process along with the comparison to Excel helped tremendously in the understanding of the course.
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This was an excellent course to learn Power BI. I loved the hands-on experience that this training provided. This course went at the right pace and gave me a solid starting foundation to use Power BI.
DATA ANALYSIS COURSES ROADMAP
The tech industry is constantly evolving, there have been significant investments in the field of AI, machine learning and big data and this means there is a growing demand for data analysts. With the right skills and a proactive approach, a data analyst can reach unprecedented heights! I currently offer the following 14 courses on Udemy covering a wide variety of tools and skills that will empower you to confidently explore the dynamic realm of data analysis, gain valuable skills in data interpretation and drive intelligent, data driven decisions.
Microsoft Excel
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Introduction to Analyzing Data with Excel Pivot Tables
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Complete Introduction to Excel Power Pivot
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Complete Introduction to Excel Power Query
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Excel Interactive Dashboards and Data Analysis
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Complete Introduction to Business Data Analysis
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Tables and Formulas with Excel
Microsoft Power BI
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Complete Introduction to Microsoft Power BI
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Complete Introduction to Power BI Query Editor
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Power BI Master Class-Data Models and DAX Formulas
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Power BI Master Class – Dashboards and Power BI Service
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Complete Introduction to Google Sheets Pivot Tables
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Complete Introduction to Looker Studio (formerly Google Data Studio)
Amazon QuickSight
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Complete Introduction to Amazon QuickSight
ChatGPT
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Introduction to Analyzing Data with ChatGPT
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction to Power BI
Lecture 2: About the Course
Lecture 3: Download the Training Data Files
Chapter 2: Sign Up for Power BI
Lecture 1: Introduction to Signing Up for Power BI
Lecture 2: Signing up for Power BI
Lecture 3: Load Data into the Power BI Service
Lecture 4: Practical Activity
Chapter 3: The Power BI Desktop
Lecture 1: Introduction to Power BI Desktop Section
Lecture 2: Options and Settings
Lecture 3: Overview of Power BI Desktop
Chapter 4: Creating Tables in Power BI Desktop
Lecture 1: Create Tables in Power BI Desktop Section
Lecture 2: Creating Tables in Power BI
Lecture 3: Table Styles and Formatting
Lecture 4: Tables Practical Activity
Lecture 5: Answers to Tables Practical Activity
Lecture 6: Cross Filtering Tables
Lecture 7: Changing the Method of Aggregation
Lecture 8: Methods of Aggregation Practical Activity
Lecture 9: Methods of Aggregation Challenge Completed
Lecture 10: Matrix Visualization
Lecture 11: Cards Visualization
Lecture 12: Cards and Matrix Practical Activity
Lecture 13: Cards and Matrix Completed Activity
Lecture 14: Working with Dates
Chapter 5: Visual Calculations
Lecture 1: Introduction to Visual Calculations
Lecture 2: Visual Calculations Part 1
Lecture 3: Visual Calculations Part 2
Chapter 6: Filters and Slicers
Lecture 1: Introduction to Filters and Slicers
Lecture 2: Using Slicers – Text
Lecture 3: Using Slicers – Numeric
Lecture 4: Using Slicers – Date
Lecture 5: Visual Level Filters – Text
Lecture 6: Visual Level Filters – Numeric
Lecture 7: Visual Level Filters – Date
Lecture 8: Filtering Data – Page and Report Filters
Lecture 9: Practical Activity – Filters
Lecture 10: Practical Activity Filters Completed
Chapter 7: Graphs and Visualizations
Lecture 1: Introduction to Graph Visualization Section
Lecture 2: Clustered Column Graphs
Lecture 3: Stacked and 100% Graphs
Lecture 4: Column Graph Challenge
Lecture 5: Column Graph Challenge Completed
Lecture 6: Graph Options
Lecture 7: Reference Lines
Lecture 8: Trend Analysis Graphs
Lecture 9: Trends and Forecasting
Lecture 10: Area Graphs
Lecture 11: Additional Graphs
Chapter 8: Interactive Dashboards
Lecture 1: Creating Interactive Dashboards
Lecture 2: Challenge – Create an Interactive Report
Lecture 3: Completed Challenge – How to Create an Interactive Report
Lecture 4: Publishing Reports to the Power BI Service
Lecture 5: Pinning Visualizations to Dashboards
Lecture 6: Mobile Reports
Lecture 7: Q and A
Lecture 8: App Workspaces
Lecture 9: Publishing an App
Lecture 10: Using Custom Visualizations
Lecture 11: Using Themes in Power BI
Chapter 9: DAX Formulas
Lecture 1: Introduction to Calculated Columns
Lecture 2: DAX Calculated Columns
Lecture 3: Date Functions
Lecture 4: Formatting Dates
Lecture 5: Date Master Tables
Chapter 10: DAX Measures
Lecture 1: Introduction to Measures Section
Lecture 2: Introduction to DAX Measures
Lecture 3: DAX Measures Practical Activity
Lecture 4: DAX Measures Activity Completed
Lecture 5: The =Calculate Formula
Lecture 6: DAX Query View
Chapter 11: Relationships
Lecture 1: Relationships Section
Lecture 2: Creating and Managing Relationships in Power BI
Lecture 3: Relationship Calculations
Chapter 12: Power BI Query Editor
Lecture 1: Introduction to Power BI Query Editor
Lecture 2: Basic Transformations – Part 1
Lecture 3: Basic Transformations – Part 2
Lecture 4: Summary Tables
Chapter 13: Analyze Data with Excel
Lecture 1: Introduction to Power BI and Excel
Lecture 2: Power BI and Excel
Lecture 3: Power BI and Power Point
Chapter 14: Conclusion
Lecture 1: Conclusion
Lecture 2: Useful Resources and Links
Instructors
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Ian Littlejohn
Microsoft Power BI and Business Intelligence Specialist
Rating Distribution
- 1 stars: 109 votes
- 2 stars: 284 votes
- 3 stars: 2947 votes
- 4 stars: 14949 votes
- 5 stars: 20654 votes
Frequently Asked Questions
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