Lab: Working with Data in Organizations

Hands-on Experience with Real-world Datasets

Step out of theory and into practice with this immersive lab session that simulates data challenges professionals face every day. This hands-on workshop introduces you to diverse organizational datasets - from sales figures to visual assets and meeting records - all accessible through intuitive no-code tools requiring zero technical background. 

Learn how to extract insights as you navigate unfamiliar data, calculate key statistics, leverage metadata, handle missing information, and discover relationships between seemingly disparate sources. By joining multiple datasets, you'll experience the power of connected information while building confidence in your data handling abilities. 

This practical session provides the perfect foundation for understanding how AI systems learn from organizational data and prepares you for the more advanced concepts in subsequent modules.

This is our first Lab session. Lab sessions are fast-paced as we cover lots of ground. There's built in time for Q&A and a short break at the end of each session. The Pragmatic AI approach focuses on the fundamentals, provides enough theory to go by, and is based on interaction, sharing examples, and learning by doing.

• Session outline
• We introduce the organization, the no-code environment and the datasets we'll be using throughout the course:
• Organization background
• Sales dataset
• Images dataset
• Meetings dataset
• We work with the datasets:
• We browse to understand the data
• We extract key statistical properties
• We identify available metadata
• We deal with missing values
• We explore relations
• We join the datasets

• Format
• This session is hands-on. Attendees work on their laptops

• Level
• Beginner

• Prerequisite Knowledge
• Data Fundamentals
• Data Science and Statistical Analysis

• Learning Outcomes
• Experience working with data. Data navigation and overview, cleanup and preparation.