

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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Core Of Data Science Still Focuses On Business Impact
- Data science centers on designing experiments and using technical skills to optimize business processes.
- Core foundations remain SQL, statistics, and Python even as tools evolve.
Learn Foundations In Order
- Learn SQL first, then statistics, then Python to automate workflows.
- Those foundational skills enable more advanced tooling later.
Mindset Outlasts Tool Changes
- Tools and models evolve rapidly, but critical thinking about problems remains constant.
- The mindset of quantifying business impact endures across tool changes.