This week on The Data Stack Show, Eric and John welcome Angelica “Jelly” Spratley, a senior data science instructor and content creator at Flatiron School. Jelly shares her journey into data science, her experiences at the Disney Data and Analytics Conference, and her role at Flatiron School. Key topics include the importance of being industry-ready, project-based learning, and self-advocacy in professional development. Jelly also discusses the challenges of working under non-technical managers and the value of technical knowledge in leadership while also data work to business value and continuous learning. Don’t miss this great episode!

This week on The Data Stack Show, Eric and John talk about the complexities of reporting and analytics in the data industry. They discuss the evolution of job titles, the critical need for standardization, and the challenges of effective reporting. The conversation also highlights the importance of observability, consistency and effective communication between data and business teams. Eric and John also touch on the impact of AI and automation on data quality and reporting processes and emphasize the need for a collaborative approach and robust monitoring systems. This episode provides valuable insights for enhancing data-driven decision-making in various business contexts and so much more.

This week on The Data Stack Show, it’s another edition of the Cynical Data Guy as Eric and John welcome back Matthew Kelliher-Gibson. The group shares personal anecdotes about their experiences with data projects in corporate settings. They discuss the challenges and successes of working with pricing data and web scraping, emphasizing the importance of understanding manual processes before implementing automation. Eric recounts a project where his team improved data accuracy using a neural network, while John highlights the benefits of manual data review. The episode balances cynical and optimistic perspectives, offering valuable insights into the technical, business, and human aspects of data work. Don’t miss this edition of the Cynical Data Guy.