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Endigest AI Core Summary
This article provides a comprehensive overview of data science, covering its core skills, career roles, and education pathways.
•Data science combines mathematics, computer science, statistics, and domain expertise to extract insights from structured and unstructured data.
•Core technical skills include Python, SQL, statistical analysis, machine learning, and data visualization tools such as Tableau and Power BI.
•The data science process follows key stages: problem definition, data collection, cleaning, feature engineering, modeling, evaluation, and deployment.
•Career roles include Data Analyst (SQL, BI tools, descriptive stats), Data Scientist (ML, statistical inference), Data Engineer (pipelines, infrastructure), and ML Engineer (model deployment).
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Education pathways range from traditional degrees (2-4 years) and online courses to bootcamps (12-24 weeks) and self-directed learning.
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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