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Summary

The courses included in this learning bundle are listed in alphabetical order. If you need help deciding which courses are right for you, please reference the learning pathway images below.

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

Content

Apache Spark Programming with Databricks

Applications of SQL on Databricks

Associate SQL Analyst Accreditation

AWS Databricks Cloud Architecture and System Integration Fundamentals

AWS Databricks Cluster Usage Management

AWS Databricks Data Access Management

AWS Databricks Identity Access Management

AWS Databricks Security Fundamentals

AWS Databricks SQL Administration

AWS Databricks Workspace Deployment

Azure Databricks Cloud Architecture and System Integration Fundamentals

Azure Databricks Cluster Usage Management

Azure Databricks Data Access Management

Azure Databricks Identity Access Management

Azure Databricks Security Fundamentals

Azure Databricks SQL Administration

Azure Databricks Workspace Deployment

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

Collection: AWS Databricks Workspace Administration

Collection: Azure Databricks Workspace Administration

Collection: Databricks on Google Cloud Workspace Administration

Collection: Databricks for SAS Users

Configuring Workspace Access Control Lists (ACLs)

Data Engineering with Databricks

Data Science on Databricks Rapidstart

Data Science on Databricks: The Bias-Variance Tradeoff

Data Visualization with Databricks SQL

Databases, Tables, and Views on Databricks

Databricks Command Line Interface (CLI) Fundamentals

Databricks Datadog Integration

Databricks on Google Cloud: Architecture and Security Fundamentals

Databricks on Google Cloud: Cloud Architecture and System Integration

Databricks on Google Cloud: Cluster Usage Management

Databricks on Google Cloud: Workspace Deployment

Databricks with R

Databricks Workspace Fundamentals for Business Analytics

Databricks: How-To Videos

Delta Lake Rapid Start with Python

Delta Lake Rapid Start with Spark SQL

Deploying a Machine Learning Project with MLflow Projects

Easy ETL with Auto Loader

Enterprise Architecture with Databricks

Fundamentals of Big Data

Fundamentals of Cloud Computing

Fundamentals of Databricks Machine Learning

Fundamentals of Databricks SQL

Fundamentals of Delta Lake

Fundamentals of Enterprise Data Management Systems

Fundamentals of Machine Learning

Fundamentals of Structured Streaming

Fundamentals of the Databricks Lakehouse Platform

Fundamentals of the Databricks Lakehouse Platform Accreditation

Google Cloud Fundamentals

How to Manage Clusters in Databricks

Introduction to Apache Spark Architecture

Introduction to Applied Linear Models

Introduction to Applied Statistics

Introduction to Applied Unsupervised Learning

Introduction to AutoML

Introduction to Cloning with Delta Lake

Introduction to Databricks Connect

Introduction to Databricks Machine Learning

Introduction to Databricks Repos

Introduction to Delta Lake

Introduction to Delta Live Tables

Introduction to Feature Engineering and Selection

Introduction to Hyperparameter Optimization

Introduction to Jobs

Introduction to MLflow Model Registry

Introduction to Multi-Task Jobs

Introduction to Natural Language Processing

Introduction to SQL on Databricks

Just Enough Python for Apache Spark™

Lakehouse with Delta Lake Deep Dive

Migrating SAS Procedures to Databricks

Natural Language Processing with Databricks

Optimizing Apache Spark on Databricks

Propagating Changes with Delta Change Data Feed

Quick Reference: CI/CD

Quick Reference: Databricks Workspace User Interface

Quick Reference: Managing Databricks Notebooks with the Databricks Workspace

Quick Reference: Spark Architecture

Scalable Machine Learning with Apache Spark

SQL Coding Challenges

Structured Streaming

Tracking Experiments with MLflow

What's New In Apache Spark 3.0