As a data scientist, staying up-to-date with the latest tools and technologies is crucial. Databricks is one of the most popular platforms for working with big data, but learning it can be a challenge. Fortunately, there are some amazing free resources available to help you level up your skills. In this post, I’ll share some of the best free Databricks courses and resources to get you started.
Databricks is a powerful platform that provides a unified analytics engine for data engineering, data science, and data analytics. With its scalability and flexibility, it’s no wonder many organizations are adopting it as their go-to platform for big data processing. However, learning Databricks requires a good understanding of Spark, Scala, and Python, which can be overwhelming for beginners.
That’s where these free courses come in. Whether you’re a complete beginner or an experienced data scientist looking to improve your skills, these resources will help you get started with Databricks and take your skills to the next level.
**Course 1: Databricks Fundamentals**
This course is perfect for beginners who want to learn the basics of Databricks. It covers the fundamentals of Databricks, including data ingestion, data processing, and data visualization.
**Course 2: Databricks for Data Science**
This course is designed for data scientists who want to learn how to use Databricks for data science tasks. It covers topics such as data exploration, feature engineering, and model training.
**Course 3: Databricks for Data Engineering**
This course is perfect for data engineers who want to learn how to use Databricks for data engineering tasks. It covers topics such as data pipelines, data warehousing, and data architecture.
In addition to these courses, there are many other free resources available, including tutorials, blogs, and communities. With these resources, you’ll be well on your way to becoming a Databricks expert.