Learn how to speed up your data science workflows without modifying a single line of code. This course introduces RAPIDS, an open-source suite of GPU-accelerated Python libraries that seamlessly integrate with tools like pandas, cuML, and cuGraph. Gain hands-on experience in accelerating operations on tabular data, performing faster computations, and processing large datasets efficiently. With practical examples and real-world applications, you’ll acquire the skills to optimize data science tasks, reduce processing time, and enhance the performance of your analytics workflows.
