[ruhiparveen]

Becoming a data scientist involves acquiring skills in statistics, programming, and domain knowledge. Start with a strong foundation in mathematics, especially statistics and linear algebra. Learn programming languages like Python or R. Gain proficiency in data manipulation, visualization, and machine learning techniques. Build practical experience through projects, internships, or competitions. Consider obtaining certifications or advanced degrees in data science or related fields. Stay updated with the latest industry trends and tools. Networking with professionals and joining data science communities can also help in your journey to becoming a data scientist.
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[PALLAVICHAUHAN2525]

To become a data scientist, start by acquiring a solid foundation in mathematics, statistics, and programming languages such as Python or R. Gain proficiency in data manipulation and analysis using libraries like Pandas and NumPy. Familiarize yourself with machine learning algorithms and tools like Scikit-learn and TensorFlow. Developing skills in data visualization with tools like Matplotlib or Tableau is also essential. Engage in hands-on projects to build a portfolio showcasing your abilities. Consider enrolling in specialized courses, such as those offered by Uncodemy, to gain practical experience and knowledge. Networking with professionals in the field can also open job opportunities.

[Jerrold Kiehn]

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