Data Engineering

Dive into creating a simple Java calculator application, offering an excellent opportunity to learn Java’s essential concepts.

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

Bogdan, a Senior Software Engineer at DataCamp, takes you through the basics of programming with Java. You'll encounter core techniques like defining variables and flow control, and work through a problem involving data.

In this session, Holly, a Staff Developer Advocate at Databricks, teaches you how to get started using the Databricks platform while working through an analysis of Olympics sporting data.

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

Eduardo Oliveira, CTPO at DataCamp, walks you through how to master the syntax and structure of SQL within the BigQuery environment.

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.

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 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 code-along, JP shows you how to use Weaviate, a leading open source vector database, to build apps that can understand and manipulate them based on meaning.

Learn how to manage the features for your machine learning models, to save you time and improve the consistency of your models.

In this live training, you'll learn about data cleaning, shaping and loading techniques and learn about common database schemas for organizing tables for analysis.