Edcorner Learning

    Generative AI for Data Analysts & Professionals

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    Generative AI · Online Course

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    The Generative AI for Data Analysts & Professionals course by Edcorner Learning is a highly practical program designed to bridge the gap between advanced artificial intelligence and everyday data analytics. For professionals looking to supercharge their workflows, this course offers hands-on guidance on leveraging tools like ChatGPT using a curated library of over 1000 analytical prompts. Participants will learn how to transition to a GenAI-first mindset, allowing them to clean raw datasets, impute missing values, and handle outlier detection in a fraction of the usual time. Beyond basic tasks, the curriculum covers advanced prompt engineering techniques, such as chain-of-thought and tree-of-thought reasoning, which are essential for tackling complex diagnostic and predictive problems. Analysts will master using AI to write and debug SQL queries, generate python code, and assist in designing interactive dashboards in platforms like Power BI and Tableau. This program is ideal for data analysts, BI developers, and business professionals who want to eliminate repetitive coding tasks, interpret machine learning models with explanation workflows, and construct compelling data-driven business narratives.

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    Edcorner Learning

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    AI

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    Edcorner Learning is a premier technology training and upskilling hub dedicated to bridging the gap between cutting-edge Artificial Intelligence developments and practical, industry-specific applications. With a specialized focus on Generative AI and Predictive AI Architecture, Edcorner Learning designs comprehensive curricula tailored to various modern professional roles. Whether you are a software developer looking to integrate LLMs into your codebase, a finance analyst striving to automate complex predictive models, a product manager aligning AI capabilities with market demands, or an automotive engineer navigating software-defined vehicles, Edcorner Learning provides targeted, hands-on instruction. Their teaching methodology centers on practical, scenario-based learning, stripping away…Show more

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    Program Overview

    Online Course

    Learning format

    Generative AI

    Subcategory

    $19.99

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Understand how Generative AI models like GPT work and their role in analytics.
    • Work with a curated library of 1000+ prompts tailored for real-world data analysis use cases.
    • Develop a GenAI-first mindset to solve data problems faster, smarter, and more collaboratively.
    • Apply AI prompts to automate missing value imputation, outlier detection, and data normalization.
    • Generate visualizations, descriptive summaries, and correlation insights using GenAI.
    • Detect anomalies, spot trends, and summarize distributions with prompt-based workflows.
    • Automatically generate business reports and executive summaries from raw datasets.
    • Use prompts to design interactive dashboards in Tableau, Power BI, and Looker Studio.
    • Construct data-driven narratives and highlight key business drivers and recommendations.
    • Master few-shot, chain-of-thought, and tree-of-thought prompting for analytical reasoning.
    • Write and reuse prompts for SQL, Python, and markdown documentation tasks.
    • Build and deploy regression and classification models suggested by GenAI.
    • Automate end-to-end analytics pipelines and schedule recurring workflows using APIs.
    • Use Generative AI to explain model behavior with SHAP, LIME, and AI-generated interpretations.

    Best For

    • Data analysts and BI developers aiming to automate repetitive data cleaning and SQL tasks.
    • Business intelligence professionals seeking to accelerate dashboard creation in Power BI and Tableau.
    • Professionals looking to integrate advanced prompting techniques like chain-of-thought into their daily workflows.
    • Data practitioners wanting to use AI as a co-pilot for writing Python scripts and debugging code.

    Not For

    • Software engineers looking for deep technical instruction on building large language models from scratch.
    • Individuals who have no prior experience with data analysis concepts or basic statistics.
    • Learners seeking a highly academic, research-heavy focus on the mathematics behind generative AI architecture.

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