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Master the core libraries of Data Science in Python with this comprehensive one-hour video tutorial. Learn essential skills in NumPy, Pandas, and Plotly to kickstart your journey in data analysis and visualization. Dive into hands-on exercises using real-world datasets, including stock market data, to gain practical experience. Explore key concepts such as data manipulation, statistical analysis, and creating interactive visualizations. By the end of this tutorial, gain the confidence to tackle data science projects using Python's powerful libraries. Access free accompanying code files and datasets to practice and reinforce your learning.
