Which core programming languages and data retrieval skills are listed as foundational technical proficiencies for data science roles?

Answer

Python, R, and SQL

Foundational technical proficiency, which is non-negotiable for entry and progression in the data science field, starts with mastery of specific programming tools for scripting, analysis, and data retrieval. The text explicitly names Python and R as the primary programming languages expected for general data manipulation (like using Pandas) and statistical modeling (like Scikit-learn). Furthermore, strong skills in SQL are mandatory for the essential task of data retrieval from various sources. While other tools like TensorFlow, PyTorch, Spark, or cloud platforms are highly important for specialization, Python, R, and SQL form the core competency base upon which all other technical skills are built, especially for statistical inference and experimental design.

Which core programming languages and data retrieval skills are listed as foundational technical proficiencies for data science roles?

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