Data science is about using scientific methods, processes, algorithms, and systems to analyze and extract insights from data. It empowers organizations to turn data into a valuable resource, leading to smarter decision-making, improved operations, and enhanced customer experiences. In this workshop, you will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results.
Upon completion, you will be able to perform various data science tasks more efficiently, enabling more iteration cycles and drastically improving productivity:
- Use cuDF to accelerate pandas, Polars, and Dask for analyzing datasets of all sizes efficiently.
- Utilize a wide variety of machine learning algorithms, including XGBoost, for different data science problems.
- Deploy machine learning models on a Triton Inference Server to deliver optimal performance.
- Learn and apply powerful graph algorithms to analyze complex networks with NetworkX and cuGraph.
- Perform multiple analysis tasks on massive datasets to stave off a simulated epidemic outbreak effecting the UK.
More detailed information and links for the course can be found on the course website.
The certificate for the course can be found below:
- "Fundamentals of Accelerated Data Science" - NVIDIA Deep Learning Institute (Issued On: March 2025)