Mastering the Fundamentals Through Real-World Applications and Hands-On Projects in Data Science
What you will learn
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Students will learn the end-to-end workflow of data science, from data collection and exploration to analysis and visualization.
Students will gain proficiency in using Numpy and Pandas to manipulate, transform, and analyze datasets through basic operations and functions.
Students will learn how to clean, handle missing data, and prepare datasets for analysis using techniques like data transformation and summarization.
Students will learn to create and customize various types of visualizations (e.g., scatter, line, bar plots) to communicate data insights effectively.
Students will acquire techniques for efficiently merging, concatenating, and reshaping large datasets, ensuring smooth handling of complex data.
English
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