NVIDIA DLI Releases Accelerated Data Science Teaching Kit

Unlocking Data Science Potential: NVIDIA’s Accelerated Teaching Kit

Summary

NVIDIA’s Deep Learning Institute has released an Accelerated Data Science Teaching Kit, co-developed with renowned educators Polo Chau and Xishuang Dong. This comprehensive kit addresses the growing need for data science skills in higher education and research institutions. It covers fundamental and advanced topics, including data collection, preprocessing, accelerated data science with RAPIDS, GPU-accelerated machine learning, data visualization, and graph analytics. The kit includes lecture slides, notes, hands-on labs, quizzes, and free GPU resources, making it an invaluable resource for educators and students.

The Need for Data Science Skills

Data science is a booming field, with an ever-increasing demand for talent and skill sets to help design the best data science solutions. As data grows in volume, velocity, and complexity, it’s essential for students to have a foundation in various tools, programming languages, computing frameworks, and libraries.

The Accelerated Data Science Teaching Kit

The NVIDIA Deep Learning Institute’s Accelerated Data Science Teaching Kit is a comprehensive resource that covers fundamental and advanced topics in data science. The kit includes:

• Introduction to Data Science and RAPIDS: An overview of data science and the RAPIDS framework, which accelerates individual parts of the typical data science workflow.
• Data Collection and Preprocessing (ETL): Hands-on labs and lectures on data collection, preprocessing, and manipulation.
• Data Ethics and Bias in Data Sets: Discussions on fairness and data bias, as well as challenges and important individuals from underrepresented groups.
• Data Integration and Analytics: Lectures and labs on data integration, analytics, and visualization.
• Scalable Computing with Hadoop, Hive, Spark, HBase, and RAPIDS: Hands-on labs and lectures on scalable computing with popular frameworks.
• Machine Learning: Classification, Clustering, and Dimensionality Reduction: Lectures and labs on machine learning techniques.
• Neural Networks: An introduction to neural networks and their applications.
• Graph Analytics: Lectures and labs on graph analytics and its applications.
• Streaming Data: Discussions on streaming data and its challenges.
• Genomics: An introduction to genomics and its applications in data science.
• Text Analytics: Lectures and labs on text analytics and its applications.
• CPU vs GPU-Accelerated Data Science: Comparisons of CPU and GPU-accelerated data science.
• Data Science Teams, Code Back-up, and Version Control: Best practices for data science teams.

Key Features

The Accelerated Data Science Teaching Kit includes:

• Lecture Slides and Notes: Comprehensive lecture materials for educators.
• Hands-on Labs: Interactive labs with included datasets and sample solutions in Python and Jupyter notebook formats.
• Quizzes and Exam Questions: Assessment materials for educators.
• Free GPU Resources: Free GPU resources in the form of Google Colab credits for educators and students.
• Free DLI Online Courses and Certificates: Access to free online courses and certificate opportunities for students.

Benefits for Educators and Students

The Accelerated Data Science Teaching Kit provides educators with a comprehensive resource to teach data science skills to students. Students benefit from hands-on experience with popular data science tools and frameworks, as well as access to free GPU resources and online courses.

Table: Key Modules in the Accelerated Data Science Teaching Kit

Table: Key Features of the Accelerated Data Science Teaching Kit

Conclusion

NVIDIA’s Accelerated Data Science Teaching Kit is a valuable resource for educators and students in the field of data science. With its comprehensive coverage of fundamental and advanced topics, hands-on labs, and free GPU resources, it’s an essential tool for anyone looking to unlock the potential of data science.