Processing Big Data – Tools and Techniques
The foundational step into Artificial Intelligence. Master Python, Pandas, and SQL to prepare real-world datasets for modeling.
Course overview
Students learn the difference between traditional software and AI, understand the “3 Vs” of Big Data, and master essential processing tools using Python, Pandas, and basic SQL to prepare datasets for modeling.
Core curriculum
Four themed modules. Each module is a working block of lessons and labs.
AI & Big Data Intro
Distinguish AI from standard code. Explore the “3 Vs” and essential formats like CSV and JSON.
Python & Pandas
Load, inspect, clean, and filter datasets. Handle missing values and remove duplicates expertly.
Data Aggregation
Group data to find statistical patterns. Introduction to command-line tools for fast processing.
Cloud, SQL & Ethics
Write basic SQL queries, use APIs to pull live cloud data, and discuss responsible AI & bias.
What you'll gain
- Confidence reading and cleaning real-world messy datasets
- Hands-on Python and Pandas fluency
- Working knowledge of SQL, APIs, and cloud data
- A vocabulary for AI ethics and responsible development
Ready to build with AI?
Schedule a free consultation. We'll help you choose the right track — Builder, Portfolio, Scholar, or Innovation — based on your goals and experience.