<ul><li>Having up-to-date skills is crucial for career growth in data science as the demand for data scientists with diverse and advanced skill sets is increasing.</li><li>The article highlights over 20 key skills essential for current and aspiring data scientists, covering both soft skills like problem-solving and technical expertise in programming, machine learning, and data analysis.</li><li>Must-have skills for success in data science include programming languages like SQL, R, and Python; knowledge of statistical analysis; proficiency in machine learning tools like TensorFlow and PyTorch; and data visualization using tools like Tableau and Matplotlib.</li><li>These skills are necessary for manipulating, analyzing, interpreting data, building predictive models, and presenting findings visually for better understanding.</li></ul>

Data Science Career Roadmap

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