roadmap of data science

– Learn Python: The go-to language for Data Science – Sharpen your math: Statistics, linear algebra are key

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– Master data cleaning and manipulation – Explore data visualization techniques

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– Learn core machine learning algorithms (regression, classification) – Practice with libraries like scikit-learn, TensorFlow

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– Explore big data frameworks (Spark, Hadoop) – Learn about cloud platforms for data storage and processing (AWS, Google Cloud)

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– Participate in Data Science hackathons and competitions – Build your portfolio with personal projects – Network with other data scientists!

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– The journey never ends, keep learning and exploring new technologies – Data Science is a powerful tool to solve real-world problems, use it for good!

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