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What are the top skills required for a successful data scientist, and how can I develop them to advance my career in this field?

What are the top skills required for a successful data scientist, and how can I develop them to advance my career in this field as a student in the college

college business job-market data-analysis machine-learning analytics skill-building
Thank you comment icon Hey Paul, In general, as you think big and figure out what steps to take now and later, I think you'd like Ken Coleman's book From Paycheck to Purpose; check it out! Katherine Avery
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Eesha’s Answer

To become a successful data scientist, you'll need a mix of technical and soft skills. Key technical skills include programming (Python, R), statistics, data wrangling, machine learning, data visualization, database management (SQL), and cloud computing (Azure, AWS, Google Cloud). Soft skills like communication, problem-solving, and collaboration are equally important.
As a college student, you can develop these skills through online courses on platforms like Coursera and DataCamp, participating in projects and internships, joining data science communities on GitHub and Kaggle, staying updated with the latest trends, and practicing regularly with open datasets. This combination of skills and practical experience will set you on the path to a successful career in data science.
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Santos’s Answer

Before getting into the technical area, set some time to understand the math behind first (statistics, regression models, matrix, derivatives). As Eesha mentioned, get some practice with Coursera, DataCamp, Google, Azure learning materials, which are easy to follow. Then look for some opportunities to get involved in real business projects...business acumen is key for the context. Try Kaggle if you don't have available data. At least you will practice what you've learned.
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