Learn Data Science: 2 Days Beginner Friendly Workshop in San Francisco, CA

Certificate: Course Completion Certificate

Duration: 2 Days

Course Delivery: Classroom

Language: English

Credits: 16

Snacks, beverages, and lunch will be provided during the session.

Step into the heart of one of the world’s leading tech innovation hubs—San Francisco, CA— and gain the skills that power the data-driven economy. This intensive 2-day Introduction to Data Science workshop blends foundational knowledge with real-world applications relevant to the Bay Area’s thriving technology, biotech, fintech and AI sectors. Through a mix of hands-on exercises, local case studies and exposure to the latest industry tools, you’ll learn how to gather, clean, analyze and visualize data for actionable insights. The program highlights trending technologies such as AI-assisted analytics, cloud-based machine learning platforms and generative AI in data workflows—all tailored to the needs of San Francisco’s fast-moving innovation landscape. By the end of the training, you’ll have the skills and confidence to work with structured and unstructured datasets, communicate findings effectively and make data-backed decisions that drive business success.

This training is ideal for:

• Aspiring Data Scientists seeking a strong foundation in core concepts and tools
• Business Analysts aiming to add data science to their professional toolkit
• Software Engineers & Developers transitioning into AI/ML roles
• Marketing & Product Professionals looking to leverage analytics for growth
• Entrepreneurs & Startups in the Bay Area aiming to make data-driven decisions
• Professionals in Finance, Healthcare, Biotech and Tech—industries thriving in San Francisco

By completing this 2-day training, you will be able to:

• Understand core data science concepts, workflows and terminologies
• Apply data cleaning, wrangling and visualization techniques
• Use Python and popular libraries (Pandas, NumPy, Matplotlib, Seaborn) effectively
• Explore real San Francisco datasets for market and trend analysis
• Implement AI and machine learning basics for predictive insights
• Leverage cloud tools like Google Colab, AWS SageMaker and BigQuery
• Communicate findings through impactful data storytelling
• Recognize ethical AI and data privacy considerations relevant to California regulation

Once after the training, you will receive a course completion certificate from Mangates.

Building internal expertise in Data Science is a strategic corporate investment. Hosting a 2-day beginner-friendly workshop in San Francisco empowers your team with skills in Python, machine learning, AI tools and data visualisation. This initiative drives innovation, efficiency and competitive advantage, enabling your workforce to make data-driven decisions that deliver real business impact.

©2025 Mangates Tech Solutions Pvt Ltd. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.

This training can be delivered in-house, allowing your team to develop essential data science skills in a format tailored to your organization’s needs. Facilitators customize examples and case studies to your industry, making the learning highly relevant and engaging. Teams gain hands-on experience with Python, visualization, and AI-powered analytics that can be immediately applied to real projects. By learning together, your organization fosters collaboration and builds a strong foundation for data-driven decision-making.

📧 Contact us today to schedule a customized in-house, face-to-face session:

Info: Covers what Data Science is, the various roles and career paths it offers and its growing relevance in San Francisco’s tech, finance and biotech sectors.

Info: An overview of Python, Jupyter Notebooks and core libraries, along with an introduction to R and SQL for optional exploration.

Info: Working with APIs and web scraping Bay Area data sources, along with handling missing values and inconsistent data.

Info: Descriptive statistics and visual exploration, along with data visualization using Matplotlib and Seaborn.

Info: Supervised vs. Unsupervised Learning, with real-world applications in Bay Area startups and enterprises.

Info: Linear regression and classification basics, along with model evaluation and accuracy metrics.

Info: Using ChatGPT, Gemini and Copilot for data exploration, along with AutoML tools for quick prototyping.

Info: Crafting narratives with dashboards using Tableau and Power BI and visualizing tech trends in the Bay Area.

Info: Applying the California Consumer Privacy Act (CCPA) in data science projects.

Info: Analyzing a San Francisco open dataset (transportation, climate, business trends) and presenting findings to the group.

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