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.
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
- Introduction to Generative AI for Data Analysts –> 2 lectures • 4min.
- Data Files –> 2 lectures • 1min.
- Data Preparation and Cleaning Using GenAI –> 2 lectures • 4min.
- Automating Exploratory Data Analysis (EDA) with GenAI –> 2 lectures • 5min.
- Report Writing and Dashboard Generation with GenAI –> 2 lectures • 5min.
- Data Storytelling and Narrative Analytics –> 2 lectures • 5min.
- Prompt Engineering for Data Analysts –> 3 lectures • 8min.
- Predictive and Prescriptive Analytics with GenAI –> 2 lectures • 4min.
- Advanced Analytics Automation with GenAI –> 2 lectures • 5min.
- Enhancing Data Quality with GenAI –> 3 lectures • 6min.
- Explainable AI (XAI) Techniques for Data Analysts –> 2 lectures • 5min.
- 1000+ Prompts – Generative AI for Data Analysts –> 58 lectures • 1hr 36min.
Requirements
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.