Online Course
Introduction to Databricks

Enhance your Big Data skills by learning about Databricks and how to use Databricks in your day-to-day job.

4.9

808 reviews on
93 students already have enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

2 hours
  • Lessons (2 hours)

CPE credits:

0
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited:

certificate

What You Learn

  • Navigating the Databricks Workspace and notebooks
  • Loading and analyzing CSV files with Python and pandas
  • Writing SQL queries with Databricks SQL
  • Creating visualizations using built-in tools
  • Understanding Delta Lake and Lakehouse principles
  • Performing basic regression analysis on Bitcoin and crypto data
  • Structuring data projects for collaboration and clarity

Topics & tools

databricksdata engineeringdata analysisdata literacypythonSQL

Your instructor

Course OVERVIEW

Description

CPE Credits: Field of Study: Information Technology
Delivery Method: QAS Self Study

This beginner-friendly course introduces you to the core components of Databricks, including the Workspace, Databricks SQL, Delta Lake, and the Lakehouse architecture. Designed for learners with no prior experience, the course uses the free edition of Databricks to guide you through hands-on exercises using CSV files, Python, and SQL. You'll learn how to load and transform data in notebooks, explore how Delta Lake improves reliability and performance, and understand the role of Databricks in modern data workflows. The course emphasizes practical skills over theory, helping you gain confidence in working with real datasets inside the Databricks environment. Whether you're a data analyst, engineer, or just curious about cloud-based data tools, this course offers a clear, step-by-step path to understanding and using Databricks effectively—no complex setup or paid tools required.

Course Description

Get started with Databricks through this hands-on, beginner-friendly course designed to help you understand and use the platform’s core components with confidence. Using the Free Edition of Databricks, you'll work entirely within your browser—no paid cloud accounts or complex setup required.

The course walks you through practical examples using CSV files, Python, and SQL to perform real-world data tasks like loading, cleaning, analyzing, and visualizing data. You’ll learn to work inside notebooks, use libraries such as pandas, and explore key concepts like Delta Lake and the Lakehouse architecture.

A highlight of the course is a mini-project on cryptocurrency, where you'll use historical Bitcoin data to perform regression analysis, identifying trends and patterns through simple machine learning techniques.

Prerequisites

  • Web browser (access to databricks.com and a free Databricks Community Edition account)
  • Basic understanding of data and databases is helpful but not required.

Advanced preparation

Free preview

Introduction

1.1 Introduction

1 min

Welcome to Databricks

2.1 Welcome to Databricks

1 min

What is Databricks?

2.2 What is Databricks?

4 min

What is Databricks used for?

2.3 What is Databricks used for?

3 min

How Organizations use Databricks?

2.4 How Organizations use Databricks?

5 min

Databricks Core Components

2.5 Databricks Core Components

3 min

Start for free

9 in 10

people walk away career-ready

with practical data and AI skills.

94%

of AI and data science graduates

successfully change

or advance their careers.

$29,000

average salary increase

after moving to an AI and data science career

ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Certificates are included with the Self-Study learning plan.

A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice Exams
  • AI Mock Interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice Exams

Track your progress and solidify your knowledge with regular practice exams.

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AI Mock Interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.