In a notable shift within the tech industry, 75% of data science projects are now being assigned to software engineers. This change is driven by the increasing use of Large Language Models (LLMs) and Generative AI (GenAI), which allow for quicker development and deployment into products. The traditional data science role, often confined to working in notebooks, is evolving. Professionals in this field are now looking to transition into AI engineering roles. To adapt, they need to learn how to integrate GenAI features into JavaScript-based products. This includes building and deploying working Proofs of Concept (PoCs). Additionally, skills in raw JavaScript are essential for creating silent tests, where predictions are made but not displayed to users. This trend highlights the need for data scientists to acquire new skills to remain relevant in the rapidly changing tech landscape.
Sumanth
@Sumanth_077
·
Mar 26 Google released Data Science Agent in Colab!The Data Science Agent in Colab (powered by Gemini) lets you plan, analyze, and visualize your data with just a single prompt.Below I have analyzed a dataset of 500k rows and didn’t write or execute a single line of code.
Maziyar PANAHI
@MaziyarPanahi
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Feb 21 HOLY !!!
@huggingface
just dropped Data Studio!!! Type a question, and it auto-generates SQL to query your dataset! This is next-level magic!GAME CHANGER. When did this happen?!
Chubby
@kimmonismus
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Mar 3 Google release its Data science AgentThe Google Data Science Agent in Colab (powered by Gemini) revolutionizes data analysis by allowing users to easily formulate their analysis goals in natural language.This automatically generates fully functional Colab notebooks, which
Juan Mateos Garcia
@JMateosGarcia
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Apr 16 Gemini for data science is cool. I used Deep Research to collect titles / descriptions from
@Convergent_FROs
R&D data gaps map, and Canvas to write a python script to embed, project, cluster and label the descriptions. All in <30 mins, most of which was spent installing packages.
AshutoshShrivastava
@ai_for_success
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Mar 3 Google : Data Science Agent in Google Colab is here
– Ready-to-use Colab notebooks, not just code snippets
– Easy to customize and modify code
– Simple sharing with Colab features
– Saves time by skipping setup workMore details
Jarosław Michalik
@rozkminia
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Apr 13 A data science agent popped up in Google Colab.Upload your CSV
Agent reads the file
Explores data
Conducts analysis
Creates reports with chartsAll within Jupyter Notebook—view and tweak every step.Accelerated video: March Stripe
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