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This is a repository containing datasets, PowerBI templates, and finished reports for a three-session PowerBI Masterclass Series

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PowerBI_Masterclass_Series

This is a repository containing datasets, PowerBI templates, and finished reports for a three-session PowerBI Masterclass Series

BEFORE EACH SESSION INSTRUCTIONS

Whether you're joining me for one, two, or all three sessions, in any combination, you;ll need to complete the following steps:

If you're familiar with (or want to explore) GIT:

  • Download and install GIT
  • Get this repository's URL from the green button on the repository page.
  • In your ommand line, navigate to the directory where you want the folder containing all the files to be by typing cd <path to your directory location>
  • In your command line, type git clone <repository URL>. This will copy the latest version of all the files in this repository. Be aware that there are some big files in here!

If you're not familiar with GIT:

  • Simply download the contents of this repository as a zip file, then unzip its contents.

Download and Install Microsoft PowerBI

SESSION 1 JOINERS: Open a BLANK new PowerBI report. Other reports are 'waypoints' on our journey that will allow you to jump in.

SESSION 2 AND/OR 3 JOINERS: Open the report indicated by your instructor.

Series Contents:

Session 1: Loading and Preparing Data

Dataset information

  • Datasets are from Gapminder and the Google Covid19 Datasets.
  • Gapminder: https://www.gapminder.org/data/
  • Child mortality 0-5
  • Crude birth rate per 1000 population
  • Crude death rate per 1000 population
  • Health expenditure per capita, $
  • Health expenditure as % GDP
  • Life expectancy - female
  • Life expectancy - male
  • Google: https://health.google.com/covid-19/open-data/raw-data
  • Geography Data
    • Note: We’ve organized the geographical hierarchy as follows:
    • 0: Country
    • 1: Province, state, or local equivalent
    • 2: Municipality, county, or local equivalent
    • 3: Locality that may not conform with an established hierarchical category. For example, "city" might span multiple municipalities.
    • The location key is determined by its level: So, country-level data for the United States would use the location key US; state-level data for California, US_CA; and Santa Clara County data, with an FIPS code of 06085, would use US_CA_06085.
    • Level 3 data may be nested within levels 0 or 1. The city of San Francisco’s location key is US_CA_SFO.
  • Health Data
  • Vaccinations Data (from URL and demo of Azure Cloud Blob Storage)
  • Metadata

Session Content:

  • Loading Data

  • Inspecting Data

    • Column Statistics
    • Data Types
  • Cleaning Data

    • Down-selecting columns
    • Changing data types
    • Merging datasets
    • Appending datasets
    • Advanced data cleaning

Session 2: Modelling Data and Basic Visualisations

Session Content:

  • Principles of data modelling

    • 1:1 relationships
    • 1: * and * : 1
    • * : * and why to avoid
  • Central date/location tables for cross filtration

  • Creating/deleting data relationships

  • Visualisations and interactivity/cross-filtering

  • Creating visualisations - The basics:

    • Adding fields
    • Adding legends
    • Customising visualisations
    • Formatting size, title, changing column names
    • Choosing legend colours
    • Formatting consistently
  • Basic DAX for Measures

Session 3: More Advanced Visualisations and Maximising Report Impact

  • Creating a Visually Impactful Report
  • Colour schemes
  • Formatting consistently
  • Creating Interesting Visuals: Maps
  • Tooltips
  • More advanced Measures using DAX
  • Custom Visuals and using Python in PowerBI
  • Publishing to a PowerBI Workspace and managing access

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This is a repository containing datasets, PowerBI templates, and finished reports for a three-session PowerBI Masterclass Series

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