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I have 17 years of experience in Programming and Data Science working for big tech companies like NVIDIA and Bloomberg. I also run a famous YouTube channel called Codebasics where I pursue my passion for teaching. Codebasics is one of the top channels on YouTube when it comes to data science, machine learning, data structures, etc. I firmly believe that “Anyone can code” and I use analogies, simple explanations, and step-by-step storytelling to explain difficult concepts in such a way that even a high school student can understand them easily.
To ensure smooth setup and execution of hands-on projects involving Spark, Kafka, Docker, Power BI, Azure, and other modern tools, please ensure your system meets the following minimum and recommended requirements.
| Component | Minimum (Manageable) | Recommended (For Smooth Experience) |
|---|---|---|
| Operating System | Windows 10 / macOS Monterey (12) / Ubuntu 20.04 | Windows 11 / macOS Ventura (13) or later / Ubuntu 22.04 or later |
| Processor (CPU) | Intel i3 / Ryzen 3 / Apple M1 or equivalent (2 cores) | Intel i5 / Ryzen 5 / Apple M2 or higher (4+ cores) |
| Memory (RAM) | 4 GB | 8 GB or more (Recommended: 16 GB for Docker workloads) |
| Storage | At least 15 GB free | SSD with 30 GB+ free space |
| Display Resolution | 1280 × 720 (HD) | 1440 × 900 or higher |
| Web Browser | Latest Chrome or Edge | Latest Chrome, Edge, Firefox, or Safari |
💡 A stable high-speed internet connection is recommended for video lessons, dataset downloads, and live sessions.
✅ This setup ensures full compatibility across Windows, macOS, and Linux for all tools used in the Data Engineering Bootcamp.
The courses you picked are already included in Data Engineering Bootcamp 1.0: Job Assistance, Live Problem Solving & Virtual Internship.
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