Prompt Engineering for Data Analysis Python, Pandas, ChatGPT
Prompt Engineering for Data Analysis Python, Pandas, ChatGPT
ChatGPT & Python. No Coding Needed. Data Analysis & Data Visualisation with ChatGPT, Python, Pandas & Prompt Engineering
Created by Saad A | 10.5 hours on-demand video course
Prompt Engineering for Data Analysis with Python, Pandas & ChatGPT” is a groundbreaking course that empowers you to harness the latest advancements in artificial intelligence by utilizing the incredible ChatGPT technology. Our innovative teaching methodology allows you to learn coding through prompt engineering, eliminating the need to write a single line of code. This approach is tailored to make coding accessible and enjoyable, even for absolute beginners.
For those already experienced in data analysis using Python, this course offers a game-changing opportunity to dramatically enhance your coding speed and efficiency. By leveraging GPT’s capabilities, you’ll learn how to use prompt engineering techniques to guide ChatGPT in generating accurate, high-quality code tailored to your specific requirements. This transformative skillset will enable you to focus on solving complex data analysis problems while ChatGPT takes care of writing the code, ultimately saving you time and effort.
What you’ll learn
- Confidently approach data analysis tasks with Python and Pandas, even without prior coding experience.
- Leverage the power of ChatGPT and prompt engineering techniques to efficiently generate accurate, high-quality code for data analysis and visualisation.
- Seamlessly integrate ChatGPT-generated code into their Python and Pandas workflows, saving time and effort on manual coding.
- Effectively communicate with ChatGPT by crafting optimised prompts that guide the AI to produce the desired results.
- Master the use of Jupyter Notebook and Google Colab, enabling a smooth and productive learning experience.
- Gain proficiency in importing and exporting various types of data files in Python, enhancing their versatility as data analysts.
- Create visually appealing and informative data visualisations using the Matplotlib library to support their data-driven decision-making processes.
- Develop a strong foundation in Python, Pandas, and data analysis, paving the way for future learning and professional growth in the field.
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