Half Stack Data Science Season 3 finale - The Well-Grounded Data Analyst - with David Asboth
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Feb 17, 2025 In this finale, an engaging discussion highlights the knowledge gap in data education and the need for real-world project experience. The importance of categorical data and ethical sourcing is explored, alongside the challenges of translating theoretical knowledge into practical applications. Navigating data analysis methodologies is emphasized as critical for effective problem-solving. Furthermore, the hosts reflect on their podcast journey and tease upcoming insights on AI, making for a thought-provoking conclusion to the season.
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Portfolio Importance
- David Asboth had a portfolio when interviewing for data science roles years ago, while many others didn't.
- Many applicants claimed their work was confidential when asked for examples.
Question-Driven Analysis
- Start with a question, then find data to answer it, not the other way around.
- Most online advice suggests finding a dataset first, which is unrealistic in a business context.
Multiple Valid Analyses
- Two people analyzing the same data may reach different conclusions, and that's acceptable.
- Documenting assumptions is crucial for transparency and allows others to understand the analysis.
