Generative AI for Data Analysts & Professionals
Mastering 1000+ Generative AI Prompts for Everyday Data Analytics Tasks
Generative AI for Data Analysts & Professionals udemy course
Mastering 1000+ Generative AI Prompts for Everyday Data Analytics Tasks
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.
