Saad A

    Prompt Engineering for Data Analysis Python, Pandas, ChatGPT

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    Prompt Engineering · Online Course

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    This course, designed by Saad A, offers a revolutionary approach to data science by merging the capabilities of ChatGPT with Python and Pandas. Traditional data analysis often requires a steep learning curve in syntax and programming logic, but this program leverages advanced prompt engineering to bridge that gap. Students will learn how to effectively communicate with AI models to generate, refine, and execute high-quality Python code for complex data tasks. From setting up environment tools like Jupyter Notebooks and Google Colab to importing diverse datasets, the course covers the entire data pipeline. You will explore how to craft precise prompts that instruct ChatGPT to perform deep data cleaning, transformation, and statistical calculations. Additionally, the curriculum details how to produce stunning visual representations using libraries like Matplotlib, turning raw metrics into actionable business insights. Whether you are a business professional wanting to automate reporting, a marketer aiming to analyze campaign metrics, or an aspiring data analyst looking to fast-track your career, this 14-hour masterclass provides the exact frameworks needed to work smarter and faster using AI-driven development workflows.

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    About the creator

    Saad A
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    Reviews

    Saad Ahmed is an experienced instructor and technology educator specializing in generative AI, prompt engineering, and data analysis. With a practical, project-first approach to teaching, Saad helps students demystify cutting-edge artificial intelligence tools and apply them to real-world scenarios. His courses span a wide range of modern technical domains, from mastering conversational AI like ChatGPT and understanding the nuances of prompt engineering to leveraging Python and Pandas for advanced data analytics. Saad also bridges the gap between technology and creativity, guiding learners on how to utilize AI art generation tools like Midjourney to create and monetize digital art. His educational…Show more

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    Program Overview

    Online Course

    Learning format

    Prompt Engineering

    Subcategory

    $49.99 (list $9.99)

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    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.

    Best For

    • Business analysts and marketers seeking to automate data reporting without mastering complex syntax.
    • Beginners in data science who want to use AI to bridge the gap in Python and Pandas programming.
    • Professionals who need to perform rapid data cleaning, transformation, and visualization tasks.
    • Aspiring developers looking to learn AI-augmented coding workflows in Jupyter Notebooks and Colab.

    Not For

    • Experienced data scientists or software engineers looking for deep-dive algorithmic theory or advanced computer science concepts.
    • Individuals seeking a comprehensive, multi-course certification in professional software development.
    • Learners who prefer building custom applications from scratch without relying on LLM-generated code.

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