DataLab

Find out how to use DataLab's chat interface to perform data analysis using a completely conversational workflow.

In this session, you'll see a full data workflow using some LIGO gravitational wave data (no physics knowledge required). You'll see how to work with HDF5 files, clean and analyze time series data, and visualize the results.

In this session, DataCamp's VP of Media Adel Nehme & co-host of the DataFramed podcast, shows you how to get started with SQL.

Learn to use MLflow to track and package a machine learning model, and see the process for getting models into production.

In this session you'll learn how to use DataLab to seamlessly access Google Sheets data and analyze the data with Python. Practice with exploratory data analysis tasks like crunching numbers and drawing visualizations for Google Analytics data.

In this session, you'll learn fundamental concepts of data pipelines, like what they are and when to use them, then you'll get hands-on experience building a simple pipeline using Python.

In this session, you'll learn how to use the Weaviate vector database to store these different content types, then perform search queries on them.

In this introductory session, you'll explore a survey on business innovation. The focus will be on principles of analyzing survey data, and you'll write some simple SQL for calculations and simple Python for data visualizations.

In this code-along, Andrea Valenzuela, Computing Engineer at CERN, and Josep Ferrer Sanchez, Data Scientist at the Catalan Tourist Board, will walk you through building an AI system that can query your documents & data using LangChain & the OpenAI API.

In this code along, you'll learn how to use the OpenAI API and Python to get started fine-tuning GPT3.5.

In this code-along, you will be introduced to the basics of exploring new datasets. Using data on UK Premiership soccer results, you will use Python to calculate summary statistics and draw visualizations to generate insights.

In this session you'll learn how to get started with Chroma and perform Q&A on some documents using Llama 2, the RAG technique, and LlamaIndex.