Data Science and Generative AI: Tools and techniques for data science projects

Enhance your understanding of how Generative AI can transform data science projects and decision-making. Learn to integrate GenAI methods into the full project lifecycle to improve outcomes across modelling, deployment, and communication. This course will strengthen your grasp of practical GenAI tools, their applications, and how they can make projects more efficient and impactful.

Why Does this Course Matter:

As organisations manage ever-growing datasets and complex projects, Generative AI provides tools to speed up preparation, enhance models, and streamline workflows. This course offers professionals a structured way to apply GenAI in real data science contexts, combining traditional methods with automated intelligence. It builds skills that support long-term growth in analytics, data science, and project management roles.

Who is this course for:

  • Data scientists and analysts seeking to improve productivity with GenAI
  • Project managers aiming to use GenAI for clearer communication and planning
  • Technical professionals moving into data-focused roles
  • Teams working on model deployment, monitoring, or MLOps integration
  • Anyone looking to combine traditional data science with advanced GenAI tools

What Will I Learn:

  • Understanding of how GenAI integrates into the data science lifecycle
  • Ability to generate and augment data for modelling and analysis
  • Skills to create and refine features that improve model performance
  • Confidence in using LLMs to write, debug, and document code efficiently
  • Awareness of best practices for monitoring and evaluating GenAI-powered workflows

Course Topics:

  • Explore how GenAI accelerates data preparation and automates cleaning
  • Learn practical approaches to enhance feature engineering with GenAI
  • Use large language models to support coding, documentation, and automation
  • Apply GenAI to improve project planning, reporting, and stakeholder communication
  • Understand MLOps frameworks and how to evaluate GenAI-powered processes
  • Engage in interactive exercises to apply GenAI techniques to realistic projects
  • Receive a resource pack to extend learning beyond the course

Course format

  • PowerPoint presentation to introduce the topics including illustrative examples from different sectors
  • Case studies based on ‘real world’ problems
  • Practical sessions using Microsoft Excel MS PowerPoint
  • Group discussion/work to explore the topics in more detail
  • Bring questions from your own work to embed your learning

Prices

  • Member £495 + VAT
  • Non-Member £625 + VAT
  • Student Member £370 + VAT
  • For group booking discounts, please contact [email protected]

Related courses

Data Science and Generative AI: Developing data science products with generative AI
Growing a Data Science Capability
Data Architecture and Engineering for Data Scientists 

 

Want to run this course in-house? Enquire about running this course in-house

Meet the tutor

Dr Michael Mortenson

Dr Michael Mortenson is the Course Director for the MSc in Business Analytics at Warwick Business School and leads the AI Research Group at the Gillmore Centre for Financial Technology. He holds a PhD in Analytics and an MSc in eBusiness. His specialisms include natural language processing/large language models, computer vision, OR and data engineering. Alongside his academic work he has significant practical experience working on OR, data science and AI projects for companies such as Amazon Web Services and Vodafone.