Data Science with ChatGPT
Ability to prompt ChatGPT properly to assist in answering multi-step data science questions. Using ChatGPT to write and debug Python and SQL codes. Simulates real-life use of ChatGPT by data analysts and scientists.
Our ChatGPT element is a question answering system based on a Large Language Model (LLM) developed by OpenAI.
LLMs are foundational models that could be used for a variety of natural language understanding and processing tasks. LLMs took the world by storm in 2023 and there are literally thousands of start-ups founded with the sole purpose of employing LLMs for automating a variety of business tasks. As such, being able to employ ChatGPT -as being the most popular of LLMs known well by the general public- has become a requisite skill for data analysts and data scientists. A new term, prompt engineering, was coined to represent the fine-tuning of the wording of conversation with ChatGPT so as to elicit the best response out of ChatGPT.
In data literacy, leveraging ChatGPT has become a fundamental skill for a variety of tasks in using data for better decisions.
Ultimately, we urge the candidates to employ a human-machine collaboration strategy, which is becoming very relevant in performing tasks across a variety of roles.
The goals of ChatGPT element are twofold:1. To test the prompt engineering skills of the data scientists and data analysts2. To help candidates to solve more complex data science questions with the help of ChatGPT
Sample Topics
- Writing and debugging Python and SQL code
- Ability to synthesize and extract insights input from ChatGPT
- Developing effective prompt for ChatGPT
