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.
Unlock the potential of data analysis with this focused course on prompt engineering and Python, designed for those looking to master the integration of ChatGPT with data tools like Pandas. Whether you're a beginner or have some coding experience, this course takes you step-by-step through setting up your environment, learning Python fundamentals, and diving into practical data analysis using prompt engineering techniques. From importing data to building insights and creating visualizations, this course covers everything you need to turn raw data into actionable insights.
What You’ll Learn:
Essentials of Prompt Engineering with ChatGPT: Begin with the basics of prompt engineering and learn how to communicate effectively with ChatGPT, enhancing its usefulness for data-related tasks.
Python Setup & Jupyter Notebook Basics: Set up your Python environment with Anaconda, Jupyter Notebook, and Google Colab, ensuring you have the tools you need to work efficiently across platforms.
Pandas for Data Analysis: Dive into essential Pandas skills, from working with Series and DataFrames to advanced data manipulation with functions like GroupBy. Learn prompt engineering strategies to streamline tasks and increase analysis efficiency.
Data Visualization and Data Management: Explore data visualization techniques and discover how to import, export, and handle multiple data files. These skills empower you to present findings effectively and manage complex data projects.
Real-World Projects: Apply what you’ve learned to hands-on projects, including e-commerce transaction analysis, salary dataset exploration, movie success factor analysis, and stock performance. Each project is designed to give you experience with real-world data and enhance your problem-solving skills.
Build GUI Apps in Python: Move beyond data analysis to learn how to create GUI applications, adding a user-friendly interface to your data solutions and making your work accessible to non-technical users.
By the end of this course, you’ll be equipped to handle data analysis projects from start to finish, using Python, Pandas, and prompt engineering with ChatGPT. Get ready to make data-driven decisions and add value to any organization with these cutting-edge skills!
