Databricks courses can help you learn data engineering, machine learning, and data analytics, along with concepts like Delta Lake and Apache Spark. You can build skills in data pipeline creation, collaborative data science, and optimizing data workflows. Many courses introduce tools like Databricks notebooks and MLflow, which facilitate the development and deployment of machine learning models, enabling you to manage data more effectively and streamline your analytics processes.

Skills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, File Systems, Development Testing, Data Processing, Data Quality
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Databricks, Apache Spark, Microsoft Azure, Data Integration, PySpark, Data Lakes, Jupyter, File Systems, Data Processing, Big Data, Cloud Storage, Cloud Computing Architecture
Beginner · Course · 1 - 3 Months

Skills you'll gain: Star Schema, Snowflake Schema, Data Lakes, Data Governance, Data Warehousing, CI/CD, Database Design, Power BI, Data Pipelines, Data Management, Microsoft Azure, Real Time Data, Data Architecture, Extract, Transform, Load, Microsoft Copilot, Cost Control, Data Modeling, Transact-SQL, SQL, Cloud Infrastructure
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Processing, Deep Learning, Data Transformation, Model Deployment, Machine Learning Software, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis, Regression Analysis
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Databricks, Model Deployment, Generative AI, Data Lakes, Extract, Transform, Load, MLOps (Machine Learning Operations), Data Transformation, LLM Application, Data Pipelines, Hugging Face, Large Language Modeling, Apache Spark, Responsible AI, Data Analysis, Data Science, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Databricks, Data Lakes, Data Pipelines, Data Integration, Dashboard, PySpark, SQL, Apache Spark, Data Management, Data Transformation, Version Control
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Data Mart, Unix Shell, Big Data, Performance Tuning, Scalability
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Model Deployment, Convolutional Neural Networks, Classification Algorithms, Data Analysis, Image Analysis, Model Evaluation, Transfer Learning, Data Ethics, Machine Learning, Tensorflow, Data Processing, Data Pipelines, Data Transformation, Data Preprocessing, Machine Learning Software, Distributed Computing, Information Privacy, Supervised Learning, Virtual Machines
Intermediate · Professional Certificate · 3 - 6 Months

Edureka
Skills you'll gain: SQL, Data Management, Databases, Apache Spark, Data Architecture, Data Processing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data-Driven Decision-Making, Data Management, Database Development
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Databricks, Data Lakes, Data Transformation, Data Quality, Data Governance, Data Pipelines, Real Time Data, Data Warehousing, Data Management, Terraform, Data Validation, Apache Spark, Data Integrity, Data Storage, CI/CD, Cloud Computing, Scalability, Data Security
Beginner · Course · 1 - 3 Months
Databricks is a unified analytics platform that is designed for big data and machine learning. It provides an interactive workspace where users can collaborate, analyze data, build and deploy machine learning models, and create reports and dashboards. Databricks is known for its powerful Apache Spark engine, which enables processing and analyzing large datasets quickly and efficiently. It also offers a rich set of tools and libraries that make it easier for users to work with big data and perform advanced analytics tasks.‎
Databricks is a unified analytics platform that provides a collaborative environment for data engineers and data scientists to work with big data and machine learning. It integrates seamlessly with Apache Spark, enabling users to process large datasets efficiently. The importance of Databricks lies in its ability to simplify data workflows, enhance productivity, and facilitate real-time analytics, making it a valuable tool for organizations looking to leverage data-driven insights.‎
With skills in Databricks, you can pursue various job roles such as Data Engineer, Data Scientist, Machine Learning Engineer, and Business Intelligence Analyst. These positions are in high demand as companies increasingly rely on data analytics to drive decision-making and improve operational efficiency. Proficiency in Databricks can also lead to roles focused on data governance and cloud data management.‎
To effectively learn Databricks, you should focus on developing skills in data engineering, data analysis, and machine learning. Familiarity with programming languages such as Python or SQL is essential, as these are commonly used within the Databricks environment. Additionally, understanding cloud computing concepts and data governance principles will enhance your ability to utilize Databricks effectively.‎
Some of the best online courses for learning Databricks include the Mastering Azure Databricks for Data Engineers Specialization and the Business Intelligence with Databricks course. These programs provide comprehensive training on using Databricks for various data-related tasks, from data management to advanced analytics.‎
Yes. You can start learning databricks on Coursera for free in two ways:
If you want to keep learning, earn a certificate in databricks, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
To learn Databricks, start by enrolling in introductory courses that cover the fundamentals of the platform. Engage with hands-on projects to apply your knowledge in real-world scenarios. Utilize community forums and resources to ask questions and share insights. Consistent practice and exploration of advanced topics will further solidify your understanding and skills in Databricks.‎
Typical topics covered in Databricks courses include data processing with Apache Spark, machine learning workflows, data visualization techniques, and data governance practices. Courses often emphasize practical applications, enabling learners to work on projects that simulate real-world data challenges and solutions.‎
For training and upskilling employees, courses like the Learn Data Governance Workflows with Databricks Tools and Perform Data Science with Azure Databricks are highly beneficial. These programs equip teams with the necessary skills to manage data effectively and leverage analytics for informed decision-making.‎