HOT
blank

Professional Power BI: Data Visualization and Dashboards

Business

Rating4.3
Enroll Now

Professional Power BI: Data Visualization and Dashboards, available at $49.99, has an average rating of 4.3, with 115 lectures, 4 quizzes, based on 83 reviews, and has 441 subscribers.

You will learn about Understand the importance of Data Modeling for optimization and performance. Create powerful calculations and analytics with DAX. Create dashboards and real-time reports to share with business users on the web and on mobile. Integrate Power BI with other tools, including Microsoft Excel to connect your Excel workbooks. Load, process, and clean data to make an engaging data analysis. Work with Power Query, DAX, and standard Power BI visualizations to create insightful and actionable reports in Power BI. Publish your dashboard to the web to have powerful, tile-based, data fusion, and tailor-made data for the effective executive Get introduced to a narrative-oriented custom visual, Power BI's navigation capabilities, and a powerful storytelling feature This course is ideal for individuals who are BI professionals, Data Professionals, BI Consultants, Data Analysts, Business Analysts, and Digital Marketing Analysts, Developers, Engineers, who want to gain insights from their business data using Microsoft Power BI as well as create interactive dashboards and more. It’s also ideal for Professionals who want to create customized visuals with the Power BI Developer tools. It is particularly useful for BI professionals, Data Professionals, BI Consultants, Data Analysts, Business Analysts, and Digital Marketing Analysts, Developers, Engineers, who want to gain insights from their business data using Microsoft Power BI as well as create interactive dashboards and more. It’s also ideal for Professionals who want to create customized visuals with the Power BI Developer tools.

Enroll now: Professional Power BI: Data Visualization and Dashboards

Summary

Title: Professional Power BI: Data Visualization and Dashboards

Price: $49.99

Average Rating: 4.3

Number of Lectures: 115

Number of Quizzes: 4

Number of Published Lectures: 115

Number of Published Quizzes: 4

Number of Curriculum Items: 119

Number of Published Curriculum Objects: 119

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understand the importance of Data Modeling for optimization and performance.
  • Create powerful calculations and analytics with DAX.
  • Create dashboards and real-time reports to share with business users on the web and on mobile.
  • Integrate Power BI with other tools, including Microsoft Excel to connect your Excel workbooks.
  • Load, process, and clean data to make an engaging data analysis.
  • Work with Power Query, DAX, and standard Power BI visualizations to create insightful and actionable reports in Power BI.
  • Publish your dashboard to the web to have powerful, tile-based, data fusion, and tailor-made data for the effective executive
  • Get introduced to a narrative-oriented custom visual, Power BI's navigation capabilities, and a powerful storytelling feature

Who Should Attend

  • BI professionals, Data Professionals, BI Consultants, Data Analysts, Business Analysts, and Digital Marketing Analysts, Developers, Engineers, who want to gain insights from their business data using Microsoft Power BI as well as create interactive dashboards and more. It’s also ideal for Professionals who want to create customized visuals with the Power BI Developer tools.

Target Audiences

  • BI professionals, Data Professionals, BI Consultants, Data Analysts, Business Analysts, and Digital Marketing Analysts, Developers, Engineers, who want to gain insights from their business data using Microsoft Power BI as well as create interactive dashboards and more. It’s also ideal for Professionals who want to create customized visuals with the Power BI Developer tools.

Video Learning Path Overview

A Learning Path is a specially tailored course that brings together two or more different topics that lead you to achieve an end goal. Much thought goes into the selection of the assets for a Learning Path, and this is done through a complete understanding of the requirements to achieve a goal.

Are you wasting time on compiling data from multiple sources instead of analyzing data? If yes, then this course will be your perfect guide and companion to analyze any data with ease!

Tell your data story with Power BI and reach millions of users with a single click on any kind of a device! Using Power BI, you can combine your data sources, create stunning visualizations, and embed your story on your website within seconds saving your cost and time.

In this well thought out step-by-step Learning Path, you’ll go from beginner to confident Microsoft PowerBI user with a series of practical sections to help you build out an interactive – functional report and a detailed, insightful dashboard with compelling visualizations to analyze your data more effectively and publish them on PowerBI. You’ll take the role of a business analyst and create factful and engaging reports with actionable insights!

By the end of the course, you’ll be able to use Power BI effectively as a business analytics tool to load, pre-process, and model data and create meaningful reports, visualizations, and interactive dashboards.

Key Features

  • Use Power BI to gather data, create reports, and get into action within a few minutes.

  • Hands-on approach showing you how to create the metrics necessary for data stories.

  • Generate interesting interactive visualizations based on your data.

Author Bios

  • Reid Havensis the Founder of Havens Consulting Inc. and a Microsoft MVP. He has a formal background in technology and organizational management, having obtained separate Master’s Degrees in Organizational Development & Business Analytics. Additionally, he guest lectures at the University of Washington and other universities, teaching Business Intelligence, Reporting, & Data Visualization. Reid is also currently developing multiple online video series on Learning & Mastering Power BI for Packt Publishing.

  • Murli Rajpurohitis a data scientist with over a year of experience in the business intelligence domain and passionate about machine learning, data science, and artificial intelligence. He focuses on combining the best elements of storytelling with Power BI’s interactive capabilities to engage audiences in a new way. His interest lies in learning every aspect of computer vision. He has expert knowledge and hands-on experience of both quantitative and qualitative analysis, data mining, optimization, and database operations, and is proficient in R, SQL, and Python.

  • Nikita Barsukovis a software developer and data scientist with 10 years’ experience in the industry. He went through a traditional data science path at the beginning of his career—for example, learning R and machine learning algorithms using online courses. Then he also quickly grasped the value of visual data storytelling, using charts as a way to communicate and tell something. He lives in Copenhagen, Denmark with his beautiful wife and three awesome sons.

  • Peter MacMurchy has been a professional software developer for over 15 years, focusing on UX, UI, and interactive data visualization tools. He acquired a keen interest in information visualization from coursework while studying Computer Graphics for his M.Sc. in Computer Science at the University of Calgary. Since then, he’s continued to develop visualization and interactive software for finance, film, energy, and other industries. At Uncharted, Peter helps clients improve their data visualization capabilities on a consulting basis.

Course Curriculum

Chapter 1: Learning Microsoft Power BI

Lecture 1: The Course Overview

Lecture 2: What Is the Flow of Report Development for a Business Analyst?

Lecture 3: Reviewing Project Requirements and Determining Data Sources

Lecture 4: Connecting to (Almost) Any Data Source with Power Query

Lecture 5: Importing Data and Power Query Fundamentals

Lecture 6: Connecting to a Folder as a Data Source

Lecture 7: Table Types and Relational Data Modeling

Lecture 8: Common Data Transformations with Power Query

Lecture 9: Intelligent Data Filtering with Power Query

Lecture 10: Adding New Columns with Power Query

Lecture 11: Merging Tables with Power Query

Lecture 12: Creating Table Relationships in Power BI

Lecture 13: Understanding the Data View in Power BI

Lecture 14: Column Settings and Hierarchies In Power BI

Lecture 15: Translating Report Requirements into DAX Measures

Lecture 16: Report View Walkthrough

Lecture 17: DAX Concepts and Fundamentals

Lecture 18: Creating Basic DAX Measures

Lecture 19: Creating a DAX Measures Table

Lecture 20: Referencing DAX Measures

Lecture 21: Visual Cues and Chart Types

Lecture 22: Creating Visualizations – Matrix Table

Lecture 23: Creating Visualizations – Running Total Chart

Lecture 24: Creating Visualizations – Column and Line Chart (Year-Over-Year Profits %)

Lecture 25: Creating Visualizations – Conditional Formatting and Waterfall Charts

Lecture 26: Creating Visualizations – Card Visualizations and Title Section

Lecture 27: Slicers and Filter Settings

Lecture 28: Formatting and Report Design

Lecture 29: Publishing a Report to the Power BI Service

Lecture 30: Creating an App Workspace

Lecture 31: Creating a Dashboard

Lecture 32: Setting Up Scheduled Refreshes

Lecture 33: Learning Microsoft Power BI: Course Completed

Chapter 2: Hands-On Data Visualization with Microsoft Power BI

Lecture 1: The Course Overview

Lecture 2: Basic Concepts of Business Intelligence

Lecture 3: Installing Power BI

Lecture 4: Connecting to Different Data Sources

Lecture 5: Basic Data Transformations

Lecture 6: Splitting Columns and Changing Data Types

Lecture 7: Conditional Columns and Merge Queries

Lecture 8: Creating Calculated Columns

Lecture 9: Manage Your Data Relationships

Lecture 10: Introducing Various Visuals

Lecture 11: Communicating with Charts – Part 1

Lecture 12: Communicating with Charts – Part 2

Lecture 13: R Language Plotting Basics

Lecture 14: R Visual Integration

Lecture 15: Page Layout and Formatting

Lecture 16: Introduction to Power BI Service

Lecture 17: Uploading Reports to Power BI Service and Quick Insights

Lecture 18: Natural Language Querying

Lecture 19: Alerts and Notifications in Power BI Service

Lecture 20: Personal Gateway

Lecture 21: Using Excel Data in Power BI

Lecture 22: Connecting to Excel Workbook on OneDrive for Business

Lecture 23: Pinning Excel Tables or Visuals

Lecture 24: Introduction to Content Pack, Security, and Groups

Lecture 25: Creating a Group

Lecture 26: Creating, Using, and Editing Content Pack

Lecture 27: Row-Level Security (RLS)

Lecture 28: Integrate and Share OneDrive for Business with Power BI

Lecture 29: Introduction to Power BI Mobile

Lecture 30: Mobile Dashboard Layout

Lecture 31: Sharing and Annotating in Power BI Mobile

Lecture 32: Using Custom Charts from Marketplace

Chapter 3: Getting Actionable Insights from Power BI

Lecture 1: The Course Overview

Lecture 2: Introducing a Company – What It Does, Where It Operates

Lecture 3: Exploring Sales Data

Lecture 4: Loading and Transforming Data in Power BI

Lecture 5: Simplifications in the Dataset

Lecture 6: Defining Requirements, Metrics, and Charts

Lecture 7: Build Charts in Power BI

Lecture 8: Analyzing Sales over Time Series in Power BI

Lecture 9: Using Charts to Finalize Sales over Time Report

Lecture 10: Looking Closer at DAX Measures

Lecture 11: Requirements, Metrics, and Charts

Lecture 12: Creating DAX Metrics for Comparison

Lecture 13: Use of Power BI Tables

Lecture 14: Using Line Charts

Lecture 15: Visualize Ranking in Power BI

Lecture 16: Requirements and Metrics

Lecture 17: DAX Measure for Deviation from Average

Lecture 18: Visualizing Deviation from Average

Lecture 19: Understanding the Requirements and Metrics

Lecture 20: Installing Dependencies, Preparing Data, and Making a Correlation Matrix

Chapter 4: Building Interactive Dashboards with Microsoft Power BI

Lecture 1: The Course Overview

Lecture 2: The Visualization Palette, Reports, and Dashboards

Lecture 3: Link Them Up – Enabling Visual Interactions

Lecture 4: Key to Performance – Calculating Your KPIs

Lecture 5: Helpful Hints – Adding Tooltips and Legends

Lecture 6: Introducing the Analytical Dashboard Example

Lecture 7: Time Matters – Time Series Chart

Lecture 8: Some Like It Hot – Heat Map Charts

Instructors

Rating Distribution

  • 1 stars: 5 votes
  • 2 stars: 1 votes
  • 3 stars: 6 votes
  • 4 stars: 29 votes
  • 5 stars: 42 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!

You may also like

Top 10 Relationship Building Courses to Learn in November 2024

Top 10 Storytelling Courses to Learn in November 2024

Top 10 Resilience Training Courses to Learn in November 2024