Data Science & AI Code-Alongs

Paul Sabin, Lecturer in Statistics & Data Science, and Senior Sports Analytics Fellow at The Wharton School, will guide you through analyzing home field advantage in Super Bowl games.

Adel Nehme, VP of Media at DataCamp, will walk you through how to build a Python report using ChatGPT.

Francesca Donadoni, Curriculum Manager for Artificial Intelligence at DataCamp, guides you through building your own customer feedback analyzer.

Pieter Moors, a Senior Data Scientist at DataCamp, shows you how to build an AI-powered movie night recommendation tool.

Yashas Roy, a Senior Learning Solutions Architect at DataCamp, walks you through creating your own fitness tracker.

Jasmin Ludolf, a Senior Content Developer at DataCamp, teaches you how to get started with SQL.

Daniel Tamayo Díaz, un representante de desarrollo comercial en DataCamp, te muestra cómo comenzar a usar SQL.

Richmond Alake, Staff Developer Advocate for AI and ML at MongoDB, teaches you how to put the concepts you learned in the first part of the two part series into practice.

Chris Ramakers, Developer Platform and Design System Engineering Manager at DataCamp, guides you through the process of building a simple bot using Python.

Emilio from the analytics platform company, KNIME, will guide you through the main functionalities of the software and you will build together a first visual workflow to answer some questions with your data.

Jahanvee, a Senior Data Analyst at Walmart, walks you through creating a Tableau dashboard.

Mehdi, a data engineer and developer advocate, introduces you to DuckDB SQL. You'll learn about the use cases, the changes to SQL syntax to make data analysis easier (no more SELECT *!), and how to include DuckDB in your analytics workflow.