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Summary

You can reference the learning pathways below to decide which course is most appropriate for you.

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Business Leaders Learning Path		SQL Analyst Learning Path		Platform Administrator Learning Path
Data Scientist Learning Path			Data Engineer Learning Path

Content

Introduction to Big Data

Introduction to Unified Data Analytics with Databricks

Introduction to Unified Data Analytics with Databricks Accreditation

Quick Reference: Databricks Workspace User Interface

Quick Reference: Managing Databricks Notebooks with the Databricks Workspace

Fundamentals of Delta Lake

Fundamentals of Delta Lake Accreditation

AWS Databricks Security Fundamentals

Azure Databricks Security Fundamentals

Just Enough Python for Apache Spark™

Apache Spark Programming with Databricks

Data Science on Databricks Rapidstart

Data Science on Databricks: The Bias-Variance Tradeoff

Tracking Experiments with MLflow

Deploying a Machine Learning Project with MLflow Projects

Delta Lake Rapid Start with Python

Quick Reference: Spark Architecture

What's New In Spark 3.0

Certification Prep Course for the Databricks Certified Associate Developer for Apache Spark Exam

Fundamentals of SQL on Databricks

Applications of SQL on Databricks

SQL Coding Challenges

Delta Lake Rapid Start with Spark SQL

Structured Streaming

Setting Up Your AWS Databricks Account

Administration on AWS Databricks

Databricks Workspace Fundamentals for Business Analytics

How to Manage Clusters in Databricks

How to Code-Along with Self-Paced Courses

Quick Reference: CI/CD

ETL Part 1: Data Extraction

ETL Part 2: Transformations and Loads

ETL Part 3: Production

Databricks: How-To Videos