The University of Alabama 3 credits CS
Students in this course will utilize Python libraries such as Pandas, NumPy, and Dask for data manipulation and analysis, along with tools like Apache Spark for handling large datasets efficiently. The course will cover key concepts such as data ingestion, processing, and visualization, ensuring students can transform raw data into meaningful insights. Hands-on projects and real-world case studies provide students with practical experience, in order to address the challenges in data processing and analytics.
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