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Generative AI for Data Analysts & Professionals
Rating: 4.5 out of 5(49 ratings)
224 students

Generative AI for Data Analysts & Professionals

Mastering 1000+ Generative AI Prompts for Everyday Data Analytics Tasks
Created byEdcorner Learning
Last updated 5/2026
English

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.

Course content

12 sections • 82 lectures • 2h 26m total length

  • What is Generative AI and How It Works1:39

    Explain how generative AI creates content by learning from data and performing autoregressive generation with transformers. Show how language models like GPT four, Claude, and Gemini generate coherent outputs.

  • Relevance of GenAI to the Data Analytics Ecosystem1:57

    Generative AI transforms the data analytics ecosystem by enabling content creation, plain-language explanations, and automated reports; it supports data cleaning, EDA, and interpretability with SHAP or LIME.

Requirements

  • Basic Understanding of Data Analytics
  • Interest in Automation and AI Integration

Description

This course, Generative AI for Data Analysts & Professionals, is designed to empower modern data analysts with the transformative capabilities of Generative AI across the full analytics lifecycle. As organizations increasingly demand real-time insights, automated reporting, and narrative intelligence, Generative AI emerges as a critical partner to deliver speed, scale, and interpretability. The course begins with a foundational understanding of what Generative AI is and how it functions, before delving into its unique relevance in the data analytics ecosystem—from data wrangling and visualization to predictive modeling and decision support.

Through focused modules, learners will explore how to automate core data preparation tasks using Generative AI, including missing value imputation, duplicate detection, and normalization. They will also practice generating charts, summaries, and correlation matrices using simple prompts, while learning to detect anomalies, trends, and distribution patterns across datasets. A key skill taught is the auto-generation of executive-ready business reports and actionable insights from raw data, enabling professionals to reduce turnaround times significantly.

The course provides hands-on instruction in prompting Generative AI to build dashboards in Tableau, Power BI, and Looker, and teaches narrative construction techniques that transform complex analytics into compelling stories. Students will master advanced prompting strategies, including few-shot, chain-of-thought, and tree-of-thought methods, and apply them to tasks such as writing SQL queries, Python scripts, and structured data narratives. A special emphasis is placed on using GenAI to suggest regression and classification models, automate full analytics pipelines, and schedule recurring tasks via APIs.

The latter part of the course equips learners to use Generative AI for concept drift detection, schema validation, and model explainability through SHAP, LIME, and GenAI-driven interpretations. It concludes with a rich library of 1000+ expert prompts tailored for analytics professionals. Whether preparing dashboards or deconstructing model behavior for executives, this course turns data analysts into AI-augmented decision enablers.

Who this course is for:

  • Data Analysts looking to automate repetitive tasks, accelerate data insights, and elevate the quality of their reporting using AI-driven techniques.
  • Business Intelligence (BI) Professionals who build dashboards, track KPIs, and support decision-making—and want to integrate AI for faster, deeper insight generation.
  • Data Scientists and Machine Learning Engineers interested in using prompt engineering and GenAI to prototype models, streamline feature engineering, and explain model behavior.
  • Financial, Marketing, Sales, and Operations Analysts who regularly handle data interpretation and reporting—and want to use GenAI to scale these processes more intelligently.
  • Consultants and Strategy Professionals who prepare presentations, summarize trends, or need to deliver insights quickly to executives and clients.
  • Non-Technical Decision Makers and Managers who want to understand how Generative AI can transform their analytics teams' workflows and improve business outcomes.
  • Students and Early Career Professionals in analytics, business, or computer science fields who want future-proof skills in GenAI application and data storytelling.

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