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30-Day Money-Back Guarantee
IT & Software IT Certification Microsoft Power BI

Power BI Essentials: Build & Share a Dashboard for COVID-19

You get 2 in 1 - Learn the fundamentals of Power BI Desktop and build / publish a COVID-19 dashboard using live data
Rating: 4.2 out of 54.2 (112 ratings)
7,704 students
Created by Vicky Poon
Last updated 7/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Learn the steps and design principles for creating an effective dashboard for a great user experience
  • Build a professional-quality dashboard from ground up
  • Blend and transform raw data into an engaging and interactive dashboard
  • Connect Microsoft Power BI to data sources
  • Transform and cleanse data into the appropriate format for your dashboard
  • Build a wide range of graphs and visualizations including maps, cards, matrix, area and donut charts
  • Perform quality checks on data sets
  • Create calculated fIelds and measures using DAX in Power BI
  • Publish dashboards on the Web and view using laptops, tablets or smartphones

Requirements

  • A PC with internet connection
  • Microsoft Power BI Desktop (free download)

Description

We live in a world that is driven by data and having data skills is needed in just about every job. 
Learn the best practices of data visualisation using Microsoft Power BI and gain practical experience by developing a COVID-19 dashboard.

This course will introduce you to power BI, a data visualisation tool which enables you to create professional dashboards and perform analytics with a few clicks of a button. This is what you will learn:

  • Best practices for building an engaging and meaningful dashboard

  • Create a professionally designed interactive dashboard in Power BI using COVID-19 as the real world scenario

  • Connect Power BI to live data on the web

  • Build visualisation charts and learn how to format them

  • Perform calculated measures in Power BI

  • Share your dashboard online with the public

Who this course is for:

  • Anyone looking for a hands-on, project-based introduction to Microsoft Power BI Desktop
  • Anyone looking to pursue a career in data and analytics
  • If you already work in data and analytics and want to develop dashboard design and business intelligence skills

Course content

8 sections • 24 lectures • 1h 51m total length

  • Preview02:11
  • Download and Install Power BI Desktop
    03:22
  • Navigating around Power BI
    02:05

  • Why is the Design Process Important
    02:14
  • The 5 Step Approach
    04:02
  • Understand your Target Audience
    01:09
  • Define Metrics that Matter
    01:10
  • How to Choose the Right Visualisation Chart
    03:34
  • Design Principles
    10:40
  • Designing the COVID-19 Dashboard
    05:23

  • Connect to Data Sources
    09:38
  • Remove Unwanted Columns
    05:09
  • Change the Data Type of Columns
    02:12
  • Check Data Quality
    08:53
  • Quiz - Connect and Prepare Data
    4 questions

  • Create and Format Card
    06:16
  • Create Calculated Measures
    04:46
  • Quiz - Key Metrics
    2 questions

  • Create and Format Donut Chart
    05:10
  • Create and Format Matrix
    01:27
  • Quiz - Drill Through Capability
    2 questions

  • Create and Format Map
    04:22

  • Aggregate and Transpose Data
    14:55
  • Format Dates
    03:10
  • Create and Format Area Chart
    04:34
  • Quiz - Trend Analysis
    3 questions

  • Publish and Share Dashboard
    03:59
  • Refine Dashboard
    01:03

Instructor

Vicky Poon
Information Management Specialist
Vicky Poon
  • 4.2 Instructor Rating
  • 112 Reviews
  • 7,704 Students
  • 1 Course

I have over 17 years of data and analytics consulting experience working in large organisations across telecommunications, energy, financial services and government industries. I specialise in turning data into information and develop data strategies for senior executives at large corporates. I also lead and deliver projects with a key focus on implementing end-to-end data capabilities including dashboard visualisation, data governance, data quality, big data, predictive analytics, data modelling, data warehousing and business intelligence.

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