This course provides a comprehensive foundation in Data Science, covering Python programming, data handling, visualization, statistics, machine learning, and real-world projects. Learners will gain hands-on experience with Python libraries like NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow/PyTorch and work on capstone projects.
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	Mode of Teaching: Online &amp; Offline
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	Assessment Pattern:
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		Topic-wise quizzes &amp; assignments
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		Case studies &amp; mini-projects
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		Interview questions &amp; mock interviews
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		Capstone projects
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		Competitive hackathons
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Description

Content

Data Science using Python - Prepzy Prime

Data Science using Python