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Google’s Data Science Agent in Colab: Is it a Data Scientist now?
Exploring Google’s New Data Science Agent: Capabilities, Limitations, and Hands-on Experiments
2025 really seems to be the year of Agents. Agents are developing and continuing to specialize in different areas. Google introduced its new data science agent at the beginning of March. As a data scientist, it made me wonder if I shouldn’t have done this :D. But it’s nice to explore. In this article, we will look at the features of the data science agent and try to push its limits by experimenting.
If you’re ready, let’s get started.
What is Colab?
First of all, since Google has opened its own agent for use via Colab, let’s talk a little bit about what Colab is. Even if you have done a little bit in the field of data science, you have definitely come across it somewhere. Colab is a cloud-hosted product that allows you to use the Jupyter notebook structure directly in your browser and run your Python codes. It also allows you to use Google’s GPUs and TPUs for your projects that require computation power. In short, it provides a Jupyter environment where you can work without making complex installations to your locale.
