Data Science on Databricks Rapidstart

Summary

Learn how to use Databricks to follow data science and machine learning workflows.

Description

This course will provide an overview of the features and functionality within the Unified Data Analytics Platform that enable data practitioners to follow data science and machine learning workflows. Aside from an overview of features and functionality, the course will provide learners with hands-on experience using the Unified Data Analytics Platform to execute basic tasks and solve a real-world problem.

 

Learning objectives

 

  • Summarize Databricks functionality that enables data practitioners to work with data through the data science workflow. 

  • Summarize Databricks functionality that enables data practitioners to run machine learning experiments on data. 

  • Execute basic data science workflow tasks using the Unified Data Analytics Platform to solve a given real-world problem. 

Prerequisites

 

  • Beginning experience with Python as applied to data science and analysis.

  • Beginning experience with popular data science tools such as Pandas, charting libraries

  • Beginning experience working with notebooks (not necessarily Databricks notebooks)