Data Science

Tom Farnschläder, Data Science Editor at DataCamp, shows you how to design and build Claude Skills tailored to data tasks.

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

Michelle Conway, Lead Data Scientist at Lloyds Banking Group, will walk you through a simple machine learning example on banking data, including feature engineering, training a model, making predictions, and assessing model performance.

Join Mike, an experienced data engineering consultant, as he guides you through the fundamentals of data pipelines with Airflow and Python.

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.

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 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 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, 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 webinar, you'll use MLflow to manage a machine learning experiment pipeline. The session will cover model evaluation, hyperparameter tuning, and MLOps strategies, using a London weather dataset.