Skip to main content
HomeBlogDataCamp Product

From Data to Insights: Get There Faster with the DataLab AI Assistant

DataCamp today announced the launch of the AI Assistant within its modern data science notebook, DataLab. The AI-powered features are now available on both free and paid DataLab plans.
Apr 2023  · 4 min read

DataCamp today announced the launch of the AI Assistant within its modern data science notebook, DataLab. The AI-powered features are now available on both free and paid DataLab plans. 

image4.gif

DataLab is a data science notebook created by DataCamp with data democratization in mind. Originally, DataLab gained popularity among learners building portfolios to advance their careers in data science. But as DataLab grew in its capabilities and collaboration features, it became a valuable tool for teams to discover insights together. Organizations of all types use DataLab to maximize organizational learning, helping members transition from learning data science to doing data science.

One of the standout features of DataLab is its user-friendly setup process. Unlike traditional data science notebooks, which often require tedious steps in the terminal to set up Python or R environments and install necessary packages, DataLab runs entirely in-browser. This means that users can skip the complex setup process and dive straight into their data projects with ease. Additionally, DataLab includes versioning and auto saving capabilities to streamline the workflow and ensure that valuable work is securely stored and easily retrievable.

The Ultimate Tech Sidekick

With the addition of the AI Assistant, DataLab users can look forward to a more productive future. 

The assistant is akin to Iron Man’s J.A.R.V.I.S or Batman’s Alfred, helping DataLab users plot their path to data science success.

Filip SchouwenaarsVP of Engineering at DataCamp

Filip is keenly attuned to the needs of data notebook users and is leading efforts to build DataLab based on these users ever-evolving IDE requirements. 

The ultimate objective is to seamlessly integrate DataLab into the tooling stack of the modern data scientist, enabling anyone who uses data to make informed decisions. 

Fix Errors and Learn Faster 

image3.png

The "Fix Error" button not only corrects errors in code, but also provides an opportunity to learn by explaining the error. This way, users can speak the language of data more confidently and avoid making the same mistakes in the future. Try it now »

Code Smarter with AI

image2.png

With intelligent suggestions based on existing code and context, the AI Assistant can help write code more quickly and accurately. Efficiency is improved with smart autocompletion. Try it now »

Visualize Data and Tell a Story

image1.gif

The AI Assistant enables users to create beautiful and interactive visualizations of their data, making it easier to explore and understand. Users no longer need to know complex syntax to tell a compelling data story. Try it now »

All Skill Levels are Welcome

DataLab is a notebook that has revolutionized the data science workflow, making data science more accessible for everyone. Supercharging the analytics workflow, anyone can get from data to insights faster.

DataCamp remains committed to democratizing data science and removing barriers to entry, as exemplified by our AI Assistant tool. We firmly believe that data accessibility is the key to unlocking a brighter future for all. At DataCamp, we're dedicated to empowering individuals and organizations with the skills and tools needed to harness the power of data, and we'll continue to drive innovation and progress in this field.

Jonathan CornelissenCEO at DataCamp

If you would like to learn more about the DataLab AI Assistant, try it out!

Note: users that are member of large groups may not have access to these AI features by default; the group admin can toggle access on or off through the group admin settings.

Topics
Related
Top 7 AI Jobs in 2024

blog

7 Artificial Intelligence (AI) Jobs You Can Pursue in 2024

Explore the top 7 AI careers in 2024, from cutting-edge research to hands-on engineering.

Nahla Davies

15 min

podcast

How a Chief AI Officer Works with Philipp Herzig, Chief AI Officer at SAP

Richie and Philipp explore what his day-to-day responsibilities are as a CAIO, the holistic approach to cross-team collaboration, AI strategy and implementation, how to approach high-value AI use cases, and much more.
Richie Cotton's photo

Richie Cotton

32 min

podcast

Data & AI Trends in 2024, with Tom Tunguz, General Partner at Theory Ventures

Richie and Tom explore trends in generative AI, the impact of AI on professional fields, cloud+local hybrid workflows, data security, the future of business intelligence and data analytics, the challenges and opportunities surrounding AI in the corporate sector and much more.
Richie Cotton's photo

Richie Cotton

38 min

tutorial

Reinforcement Learning: An Introduction With Python Examples

Learn the fundamentals of reinforcement learning through the analogy of a cat learning to use a scratch post.
Bex Tuychiev's photo

Bex Tuychiev

14 min

tutorial

Run LLMs Locally: 7 Simple Methods

Run LLMs locally (Windows, macOS, Linux) by leveraging these easy-to-use LLM frameworks: GPT4All, LM Studio, Jan, llama.cpp, llamafile, Ollama, and NextChat.
Abid Ali Awan's photo

Abid Ali Awan

14 min

code-along

Getting Started with Machine Learning Using ChatGPT

In this session Francesca Donadoni, a Curriculum Manager at DataCamp, shows you how to make use of ChatGPT to implement a simple machine learning workflow.
Francesca Donadoni's photo

Francesca Donadoni

See MoreSee More