Become an AI Data Analyst in 6 Months
Learn Prompt Engineering, RAG, OpenAI API, and create real-time projects using Python, R, SQL, Tableau, and Power BI in just 6 months through 1-2 hours of daily live, one-on-one classes taught by our experienced international AI and Data Analytics instructors.
Learn Programming Skills
Learn to code in multiple languages used by data analysts by working one-on-one with an experienced instructor. We'll explain how you can use each language and then work with you to help build a real-world project in that language.
Build Real-World Projects
After every week of class, you'll implement your learnings into a real-world project using open-source data. This allows you to gain work experience while also enhancing your ability to retain what you've learned.
Master AI-Driven Data Analytics
You’ll explore prompt engineering, Retrieval-Augmented Generation (RAG), GPT API integration, and more. From automating insights in Power BI to building AI agents in Python, you’ll graduate with in-demand skills employers seek.
Get Jobs and Network
We'll help you build a resume, demonstrate your coding projects on GitHub, and assist you in networking with tens of experienced data analysts. You'll be job-ready by learning skills, building projects, and expanding your network.
Pay 2/3 of your fees after landing a job.
To ensure the best learning experience and demonstrate your commitment, we require an upfront payment of $3,250. This covers one-third of the total cost of the program, which allows us to provide high-quality training and personalized support. The remaining $6,500 will only be due once you secure a job. At that point, you’ll pay $500 each month for 13 months. If you don’t reach the $60K milestone, you won’t owe the remaining balance. We’re committed to your success—our payment structure ensures that we only get paid the rest when you do.
AI Data Analytics Training Content
Introduction to Prompt Engineering
Advanced Prompt Techniques & Best Practices
Getting Started with OpenAI API for Data Tasks
Building AI-Powered Applications with GPT
Introduction to Retrieval-Augmented Generation (RAG)
Building RAG-Powered Data Applications
Optimizing RAG for Real-World Use Cases
AI Agents & Autonomous Systems
Data Manipulation and Visualization with Python
Supervised Learning: Classification & Regression
SQL for Dynamic Querying and Data Analysis
Integrating AI & GPT into Power BI and Tableau
1-on-1 Teaching Ensures Student Success
Since two-thirds of our revenue comes from students earning high salaries, we’re deeply invested in their success. That’s why every student gets quality one-on-one tutoring. Hear what our students have to say about the difference it makes.




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