Exceptional Summer Pre-College Data Science and Analytics for High Schoolers in San Francisco

University Of Berkeley Campus

• Opportunity to explore the city's rich cultural and historical heritage.
• Visits to famous landmarks including;
  • • the Golden Gate Bridge,
  • • Alcatraz Island,
  • • Pier 39.
• Enjoy iconic experiences like a baseball game.

• 20 hours of project-based learning by subject experts per week
• 20 hours of industry-focused visits per week
• Real-world project workshops

Data Science & Analytics Industry Workshops:

• Collaborate with a Data Science Team from a Silicon Valley organization like Airbnb in a data analytics bootcamp.
• Learn data analysis techniques and work on real-world datasets.
• Gain insights into data science and how it drives decision-making in tech.
• Visit machine learning labs, tech giants' campuses (Google, Ebay, Apple), and AI research centers.
• Understand data analysis techniques, predictive modeling, and data visualization in real-world contexts and conduct a comprehensive analysis of real-world data sets.
• Extract insights and visualize trends.
• Use findings to lead data-driven discussions with experts in data analysis tools.

Sample Modules:

Module 1: Theory & Research

• Introduction to data science and analytics
• Focus on data-driven decision-making, predictive modeling
• Foundational understanding of key theories and research methods Module 2: Practical Experience
• Real-world industry exposure
• Workshops with the Dyson Institute, robotics master class, industry visits (e.g., Jaguar Land Rover, Transport for London)
• Insights into engineering innovations Module 3: Real-World Project
• Comprehensive analysis of real-world data sets
• Extract insights, visualize trends
• Data exploration and analysis leading to expert discussions Module 4: Professional Development
• Connects academic study with the labor market
• Guest lectures, expert discussions, workshops in data analysis and visualization
• One-on-one coaching sessions for personalized career insights
• Develop employable skills and proficiencies in data science and analytics

Yasmin Fathy:

• Research Fellow, Engineering Department, University of Cambridge; Fellow, UK Higher Education Academy.

• Previous Roles: Software Development Engineer, Genomics Analytics, EMBL-EBI, Research Associate in IoT and Machine Learning, Cambridge University, KTP Research Associate in Data Science and Machine Learning, UCL

• PhD in Electrical and Electronic Engineering, University of Surrey

• MSc in Applied Science and Engineering, AI Lab, Vrije Universiteit Brussel

• Research Interests: Machine Learning, Data Analytics, IoT.

Guest Speakers from Previous Summers:

• Abi Oyepitan - Former Olympian: A two-time Olympian and Commonwealth Gold and Silver winning track and field athlete.

• Dr Lynda Shaw - Neuroscientist & entrepreneur: A journey in personal development - how to create your own set of tools to fast track success

• Dr Nigel Warburton - Philosopher, author & journalist: How do great people find answers to deep and meaningful questions?​​