Level: Intermediate to Advanced
Prerequisite: See below
In today's data-driven world, the ability to extract meaningful insights from vast amounts of data is crucial for informed decision-making and strategic planning. Large language models (LLMs), such as GPT-4, have revolutionized the field of data analysis by enabling more intuitive, efficient, and powerful data processing capabilities. This one-day, hands-on workshop is designed to provide participants with a comprehensive understanding of how to leverage LLMs to enhance their data analysis processes.
Throughout the day, attendees will explore the fundamentals of LLMs and their applications in data analysis, learn practical techniques for integrating LLMs into their workflows, and gain hands-on experience through interactive exercises and real-world case studies. The workshop will cover a range of topics, including exploratory data analysis, predictive modeling, hypothesis testing, and natural language processing.
By the end of this class, participants will be equipped with the knowledge and skills to harness the power of LLMs for data analysis, enabling them to unlock deeper insights, drive innovation, and make more informed decisions in their organizations.
You Will Learn
- The basics of large language models and their role in data analysis.
- How to perform exploratory data analysis using LLMs to uncover patterns and trends.
- How to develop predictive models leveraging the capabilities of LLMs to enhance accuracy and efficiency.
- How to conduct hypothesis testing with the aid of LLMs to validate insights and inform business decisions.
- How to integrate natural language processing techniques to analyze unstructured data and derive actionable insights.
- How to explore ethical considerations and best practices in using LLMs for data analysis.
Geared To
- Data analysts looking to enhance their analytical capabilities with advanced AI tools
- Business intelligence professionals seeking to integrate LLMs into their existing workflows for more efficient data interpretation
- Data scientists who want to leverage LLMs for advanced exploratory data analysis and predictive modeling
- IT and data managers responsible for implementing AI tools in data analysis projects
- Researchers and academics interested in using LLMs for hypothesis testing and natural language processing
- Decision-makers who want to gain deeper insights from data to inform strategic decisions
Prerequisites
Foundational experience using Python.
Laptop Setup
Students must bring their own laptop to class with Python installed, along with Jupyter Notebook and the OpenAI Python library. Additionally, students will need an OpenAI API key which requires a free or paid account with OpenAI.
Note on Corporate Laptops:
This course requires installation of software, access to web services API’s, and the ability to download data files, library files, and code.
If your corporate laptop blocks these activities, we recommend contacting your corporate IT department early. Alternatively, bring and use a personal device instead.
Laptop Setup:
Laptop setup is required BEFORE the conference. Instructions will be emailed to registrants before the event.
There is no time allotted in class for laptop preparation.
* Enrollment is limited to 40 attendees.