Data Science & AI Code-Alongs

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

Delve into analyzing customer churn in the telecommunications sector and learn to employ Power BI tools to create interactive dashboards that provide essential insights.

Find out how you can spin up a pay-as-you-go instance of OpenAI, and you’ll build a few simple applications that show the power of LLMs and GenAI against your data.

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, Nuno, DataCamp's Director of Engineering, demonstrates how to make use of GitHub Copilot. You'll see how to perform a simple data analysis in conjunction with AI, and learn how to make the most of Copilot's features.

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 session, you'll learn how to use ChatGPT to perform a data analysis and assemble the results into a data story.

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.