Roadmap to Become a Data Scientist

Learn the Fundamentals:

# Master mathematics, statistics, and programming languages like Python and R. # Understand concepts such as linear algebra, probability, and data structures

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Gain Proficiency in Data Wrangling and Analysis:

– Learn techniques for collecting, cleaning, and transforming data. – Familiarize yourself with libraries like Pandas and NumPy for data manipulation.

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Develop Machine Learning Skills:

– Explore machine learning algorithms and models. – Understand supervised and unsupervised learning techniques. – Practice implementing algorithms using libraries like Scikit-learn and TensorFlow.

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Build a Portfolio:

– Explore machine learning algorithms and models. – Understand supervised and unsupervised learning techniques. – Practice implementing algorithms using libraries like Scikit-learn and TensorFlow.

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