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This module explores real-world applications of data science through practical use cases and an end-to-end case study. Learners understand how data science techniques are applied to solve real-world problems and gain hands-on experience with the complete data analysis workflow.
This course introduces the complete data science workflow, covering dataset understanding, data cleaning and preprocessing, exploratory data analysis, basic statistics, data visualization, Python libraries (NumPy and Pandas), and machine learning fundamentals. Learners gain hands-on experience in analyzing, transforming, visualizing, and interpreting data, apply data science techniques to real-world case studies, and complete an end-to-end project with implementation, presentation, and reporting of results.
