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Article
5 Key Skills Every Data Scientist Should Master in 2025
The article provides a comprehensive overview of essential skills required for a successful career in Data Science, including both technical competencies (programming, ML/AI, data engineering) and sof
t skills (communication, ethics). It also offers guidance on selecting the right Data Science certification course based on crucial parameters like curriculum, faculty expertise, and practical learning opportunities.

Reasons to Read -- Learn:

  • five specific technical and non-technical skills that are considered essential for success as a Data Scientist, including programming languages like Python, R, and SQL, along with data storytelling capabilities.
  • how to evaluate and select the most suitable Data Science certification course based on four concrete criteria: comprehensive curriculum, qualified faculty, practical learning opportunities, and non-technical skill development.
  • growing importance of ethical AI practices and responsible data handling in Data Science, including compliance with regulations like GDPR and CCPA.
    • publisher: Bm Times - Bm Times
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