Build a Career in Data Science
Emily Robinson, Jacqueline Nolis
Summary
Navigating the rapidly evolving field of data science requires more than technical aptitude; it demands strategic career planning, continuous learning, and effective communication. This book offers a comprehensive guide for aspiring and early-career data scientists striving to build a meaningful and sustainable career. By blending practical advice with industry insights, it addresses the multifaceted challenges of entering and thriving in the data science profession.
- Data science careers are diverse: Roles vary widely across industries and organizations, highlighting the importance of understanding different paths and specializations.
- Foundational skills matter: Mastery of statistics, programming, and machine learning...
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