A Data Science course typically covers essential topics like statistics, programming (Python, R), data manipulation, and machine learning. Students learn to analyze and visualize data, understand algorithms, and apply predictive modeling. Courses often include practical projects to build a portfolio and emphasize real-world applications. Key skills developed include data cleaning, feature engineering, and using tools like SQL, Tableau, or TensorFlow. Many programs also focus on soft skills like communication and teamwork, crucial for presenting findings effectively.
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Last edited: 26.09.2024 15:40