ICME Summer Workshops 2023 | Fundamentals of Data Science
2023 Summer Workshops - Live Online July 24 - August 11
ICME’s annual Summer Workshop Series offers a variety of virtual data science and AI courses, taught live and online by faculty, researchers, and Stanford alumni working in the industry. The series is open to the general public worldwide. Discounts are offered to students, staff, and faculty from all schools as well as to ICME industry partners.
The series offers:
- Fourteen workshops that cover a spectrum of data science topics (see offerings below)
- Each workshop is spilt into two half-day modules
Every participant who attends a workshop and completed the evaluation at the end will receive a Certificate of Completion for that workshop. In addition, participants looking to gain a broad knowledge base may work towards the ICME Fundamentals of Data Science Certificate. The Fundamentals certificate requires the completion of at least four workshops, one of which needs to be SWS 05 (Privacy & Responsible AI) or SWS 06 (Applications of Data Science). We strongly recommend that aspirants also complete SWS 07 (Python for Data Science). Note that if anyone arriving with no previous Python experience should complete SWS 02 (Introduction to Python) before SWS 07. For more details please see our FAQ.
Below is a glance at our 2023 Summer Workshops:
Registration is now open!
02. Introduction to Python
The Introduction to Python workshop equips participants with the essential skills and knowledge to begin programming in Python, covering basic syntax, data structures, control flow, and introductory applications of Python programming. Learn More
05. Privacy and Responsible AI
The Privacy and Responsible AI workshop educates participants on ethical considerations, regulatory frameworks, and best practices for developing and deploying AI systems with a focus on protecting user privacy and ensuring responsible use of AI technologies. Learn More
08. Introduction to Machine Learning
The Introduction to Machine Learning workshop provides participants with a foundational understanding of machine learning concepts, algorithms, and techniques, empowering them to build predictive models, uncover patterns in data, and apply machine learning to real-world problems. Learn More
11. Introduction to Deep Learning
The Introduction to Deep Learning workshop provides participants with a comprehensive understanding of deep learning concepts and methodologies, equipping them with the knowledge to design, train, and deploy neural networks for tasks such as image recognition, natural language processing, and predictive modeling. Learn More
13. Search and Recommendation
The Search and Recommendation workshop explores techniques and algorithms used in search engines and recommendation systems, enabling participants to understand and apply methods for effectively retrieving information, generating personalized recommendations, and enhancing user experiences. Learn More