Mavens of Data Breaking into Data Science in 2025 (w/ Chris Bruehl)
Sep 12, 2025
Chris Bruehl, a Lead Python instructor at Maven Analytics, shares insights on breaking into data science in 2025. He discusses the essential skills, such as SQL and Python, that aspiring data scientists need. The conversation highlights the shift towards machine learning and the importance of networking and personal branding. Chris also emphasizes the value of continuous learning and the evolving landscape of data analysis, including new trends in Natural Language Processing and the critical role of emotional resilience in the journey.
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Tinker With LLMs Early
- Start tinkering with LLMs and text tooling like Hugging Face now, even if not required.
- Add LLM skills while comfortable in a role instead of waiting until they're necessary.
Show, Don't Just Say — Publish Projects
- Build a public portfolio with GitHub projects that show data acquisition, pipelines, and impact.
- Show code and decision-making to stand out instead of relying on coursework alone.
Scrape Real Data To Solve Real Problems
- A colleague scraped Craigslist and modelled truck prices to find the best deal using residuals.
- That project showed scrappiness, web scraping, and tangible impact.