Great data analysis requires an evolving ability to rapidly extract insights from increasingly large and complex datasets, but analysts are often slowed by tedious data preparation, the limitations of traditional tools, and the challenge of communicating findings effectively to stakeholders.

AI for Data Analysis equips you with step-by-step, implementation-focused workflows designed for immediate impact. We cover essential knowledge and dive into high-value AI strategies and tools that successful data analysts are using today.

What you’ll gain from this course:

• Automate exploratory data analysis: Learn to use AI tools like ChatGPT and Grok to rapidly understand dataset structures, identify patterns, visualize distributions, and clean data, significantly reducing manual preparation time.
• Perform sophisticated churn analysis: Master workflows using AI to analyze customer data, identify key drivers of churn, segment at-risk customers, and generate actionable retention strategies based on data-driven insights.
• Build automated reporting and visualization dashboards: Design systems using tools like Tableau and n8n to automatically integrate data sources, generate reports with AI commentary, update interactive dashboards, and distribute insights, ensuring stakeholders always have current information.
• Master prompt engineering for analytical tasks: Develop skills to craft precise instructions for AI to consistently get accurate statistical analysis, relevant visualizations, and clear interpretations, saving time and improving the quality of AI-assisted work.
• Leverage AI for predictive insights: Utilize AI capabilities to build forecasting models and identify predictive factors within your data, moving beyond descriptive analysis to anticipate future trends.
• Implement AI responsibly in data analysis: Understand and navigate critical ethical considerations—data privacy, accuracy and mitigating AI "hallucinations," addressing potential bias in data and models, and using local AI when needed—so you can innovate with confidence.
• Develop a strategic AI mindset for analysis: Learn to intuitively identify when and how to integrate AI tools effectively, choosing the right AI for each task and balancing automation with essential human expertise and critical thinking.

Step into the future of data analysis with the AI skills to uncover deeper insights faster, democratize data access, and drive smarter business decisions.

Enroll in this course and earn your AI for Data Analysis certificate

Skills you'll gain:

Data Analysis
Visualization
Dashboards
Prompting
Forecasting
Automation
Churn
Ethics
AI Models
ChatGPT

Grok

n8n

The AI for coding course at Rundown AI University 20x'd my output as a software developer without me having to figure everything out myself. Their other courses on writing, email marketing, and various AI applications were equally valuable. I'm grateful to be part of this community that teaches both the power and practical limitations of AI.

~ Nourin (AI Engineer)

The new RU platform looks great—much more modern and easier to use. The direction of the new niche courses feels far more relevant to where AI’s actually being used day-to-day. The consulting one in particular stood out and feels spot-on.

~ James Wheable

This is great for anyone interested in AI — no technical knowledge needed. I highly recommend it and am currently preparing to take the exam for certification.

Joseph Lacovara

Thanks for the fantastic lessons you guys have here on your AI university website. I just started at a new company, working on designing and developing the front end of a Healthcare webportal, and am already outperforming their expectations.

Reid Manning

The Rundown opened up my eyes to what's possible with AI. Going into it I only tinkered on a couple AI tools but didn't actually use them in my work — and after only a couple days of learning. I created an AI agent that responds to my emails n my behalf. Game changer for my business.

Wouter Teunissen

With both overviews and deep dives in every direction AI, there's no better way to stay relevant and on top of the best ways to implement these new technologies into our lives. If you have specific questions, or are looking for networking opportunities. The Rundown is the place to be.

Blake Moore

“Pattern discovery used to take hours of scripting. Now, I get insights faster—and deeper.”

“Data cleaning felt tedious. With the structure provided, we’ve standardized inputs and cut downstream errors.”

“We no longer need to ‘translate’ results to stakeholders. Our visuals speak clearly on their own.”

“Even non-technical teammates can ask smart questions now. Natural-language queries made that possible.”

“If your org wants broader access to analytics without chaos, this course lays the foundation.”

Instructors: Prof. Alvaro Cintas & Clintin Lyle Kruger