Contact Hour Total:64 An exploration of the essential Python libraries, tools, and techniques applicable to the field of data science. This course focuses on the practical application of Python for the complete data analysis workflow, including data acquisition, cleaning, manipulation, and visualization.
Students will gain extensive hands-on experience using key libraries such as NumPy for numerical operations, Pandas for data wrangling and analysis, and Matplotlib/Seaborn for data visualization. The course emphasizes data handling and preparation for analysis.