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AI for Data Analysis

Your current plan does not include access to this course.

Introduction

Automate exploratory data analysis, build sophisticated churn prediction models, and create automated reporting dashboards with AI-driven workflows that significantly increase your analytical capacity.

Learn to use AI tools to rapidly understand dataset structures, identify patterns, visualize distributions, clean data, and design systems to transform your data analysis capabilities.

  • Certificate of Completion
  • Suitable for All Experience Levels
  • 10 Lessons
  • Approx. 15 Hours to Complete


Learn how to:


  • Automate exploratory data analysis workflows — understand dataset structures and identify patterns without manual spreadsheet work or time-consuming visualization setup
  • Build comprehensive churn prediction models — enabling you to analyze customer behavior patterns and identify key retention factors with sophisticated AI-powered analysis
  • Create automated reporting and visualization dashboards — streamlining data integration, analysis, and distribution without manual report generation or repetitive dashboard updates
  • Master data-specific AI prompting techniques — ensuring your AI outputs deliver accurate statistical analysis, proper data interpretation, and actionable insights for business decisions
  • Implement predictive analytics and forecasting workflows — using AI to identify trends, build forecasting models, and extract predictive factors from your datasets
  • Navigate data privacy and accuracy concerns responsibly — addressing AI "hallucinations," bias mitigation, and compliance requirements while maintaining analytical integrity
  • Develop strategic AI integration skills — learning when to use AI tools versus traditional methods for optimal analytical outcomes and workflow efficiency
  • Scale analytical capacity beyond manual limitations — processing larger datasets and conducting more comprehensive analyses than traditional methods allow


Workflows you'll build:


Data Analysis Workflows with ChatGPT

  • Master step-by-step processes for uploading, exploring, and analyzing datasets using ChatGPT's Advanced Data Analysis
  • Implement systematic data cleaning and preparation workflows using AI assistance
  • Create comprehensive exploratory analysis frameworks that identify patterns and anomalies efficiently
  • Develop visualization and insight generation processes that translate complex data into actionable intelligence

Customer Churn Analysis and Exploratory Data Analysis

  • Configure comprehensive churn analysis workflows using ChatGPT for pattern identification and retention factor analysis
  • Implement Grok-based exploratory data analysis processes for rapid dataset understanding and insight generation
  • Establish systematic approaches for customer segmentation and behavior pattern recognition
  • Create actionable retention strategy frameworks based on AI-driven churn insights

Automated Data Visualization and Reporting Systems

  • Design comprehensive data automation workflows using n8n for multi-source data integration
  • Implement automated dashboard creation and updating systems using Tableau integration
  • Establish monitoring, alerting, and notification systems for real-time data insights
  • Create end-to-end reporting workflows that minimize manual intervention and ensure consistent delivery


Questions you might have:

Q: Can I really perform sophisticated data analysis without advanced statistical training or programming skills? 

A: Yes. The course teaches you to leverage AI as an analytical partner that handles complex calculations and statistical methods while you focus on interpretation and business application. You'll learn systematic prompting techniques that produce professional-quality analysis without requiring deep technical expertise.

Q: How do I handle sensitive business data when using cloud-based AI tools for analysis? 

A: The course addresses data privacy, data anonymization techniques, guidance for appropriate tool selection, offline AI models, and other strategies for maintaining compliance..

Q: What's the difference between this course and just experimenting with AI tools for data analysis on my own? A: This course teaches systematic analytical workflows, professional prompting techniques, and quality control processes that produce consistent, reliable results. Rather than trial-and-error experimentation, you'll learn proven frameworks for professional data analysis implementation.


What our members say:

"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)

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~ 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."

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~ Blake Moore

"Before I joined Rundown University, I felt miles behind in the AI sphere. After taking the AI Starter Kit, I'm way more confident in my abilities to navigate my future with AI. Now, instead of feeling nervous about the future, I'm inspired by the things I can do and build. If you're interested in learning more about AI, this is the right place for you!"

~ Maggie Kelly


Get certified in AI for Data Analysis

AI for Data Analysis includes 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.

At the end of the course, you'll have the option to get your AI for Data Analysis certification by passing our online exam. You can add this credential to your LinkedIn profile, resume, CV, or share it on social media.

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Instructors: Dr Alvaro Cintas & Clintin Lyle Kruger
Key tools & technologies: ChatGPT, Grok, n8n, Tableau
Skills gained: Data analysis automation, exploratory data analysis, churn prediction modeling, automated dashboard creation, data-specific AI prompting, predictive analytics implementation, data visualization workflows, statistical analysis validation, business intelligence automation, data privacy compliance, analytical workflow design, insight generation systems

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