Day 1: Intro to Data Analytics & Literacy
• Lesson 1:
o The data world
o The crowded vendor spaces.
o Generative AI, its implications and implementation challenges
• Lesson 2:
o Modern Data Analytics Use Case approaches
o Delivery Methodology & Collaboration
• Lesson 3:
o Modern Data Architectures
o Microsoft Analytics Technology Stack
o Microsoft Power BI
o Microsoft Power BI Service
• Group & Individual Exercise
o What is the right business Question?
o What expertise & Team do you need?
Day 2: Get to know your data
• Lesson 1:
o Power BI Power Query
o Clean your data
o Using visuals to assess data quality
• Lesson 2:
o What to look for in your data with Power BI
o Transform your data in Power BI – creating your analytical base table (ABT)
o Classified and Unclassified data
• Group & Individual Exercise
o Load your data
o What visuals would you use to describe your data in Power BI?
Day 3: Model your data
• Lesson 1
o Business to Data Understanding
o Initial statistical investigative techniques
o Business Question to model mapping
• Lesson 2:
o What can Power BI do?
o What can Power BI not do?
o Using analytical visualisations
• Group & Individual Exercise:
o Load more data in Power BI
o Choose your analytical models
o Present your analytical models
Day 4: Present your data
• Lesson 1:
o Know your audience
o Preparing your data to present to your audience
o What insight can your data give?
o What action do you want your audience to take?
• Group & Individual Exercise:
o Load New data to Power BI
o Agree on the business question
o Assess the data
o Present your analysis
Day 5: Workshop
• Bring your own data
• What are your questions?
• Can you load your data?
• How good is your data?
• Can Power BI help answer your questions?