9 Must-have skills you need to become a Data Scientist

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1. Programming: Proficiency in languages like Python/R for data manipulation and analysis.

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2. Statistics: Understanding statistical methods to interpret data and draw conclusions.

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3. Machine Learning: Ability to apply algorithms for predictive modeling and pattern recognition.

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4. Data Wrangling: Cleaning, transforming, and preparing data for analysis.

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5. Data Visualization: Creating visual representations to communicate insights effectively.

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6. Database Knowledge: Familiarity with database systems like SQL for data storage and retrieval.

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7. Domain Knowledge: Understanding of the specific industry or field where data analysis is applied.

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8. Communication: Articulating findings and insights to stakeholders clearly and persuasively.

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9. Problem-Solving: Critical thinking to tackle complex data-related challenges effectively.

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