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  • Databricks

Databricks Courses

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.


Popular Databricks Courses and Certifications


  • Status: Free Trial
    Free Trial
    P

    Packt

    Mastering Azure Databricks for Data Engineers

    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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    38 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of Azure Databricks

    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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Data Architecture for Modern Data Stacks

    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

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Perform data science with Azure Databricks

    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

    3.1
    Rating, 3.1 out of 5 stars
    ·
    79 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Databricks to Local LLMs

    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

    4.1
    Rating, 4.1 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Management with Databricks: Big Data with Delta Lakes

    Skills you'll gain: Databricks, Data Lakes, Data Pipelines, Data Integration, Dashboard, PySpark, SQL, Apache Spark, Data Management, Data Transformation, Version Control

    4.1
    Rating, 4.1 out of 5 stars
    ·
    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    ETL and Data Pipelines with Shell, Airflow and Kafka

    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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    444 reviews

    Intermediate · Course · 1 - 3 Months

  • Next level skills. New Year savings.

    Save on Coursera Plus
  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

    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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    611 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    E

    Edureka

    Learn SQL with Databricks

    Skills you'll gain: SQL, Data Management, Databases, Apache Spark, Data Architecture, Data Processing

    3.5
    Rating, 3.5 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    Edureka

    Business Intelligence with Databricks

    Skills you'll gain: Data-Driven Decision-Making, Data Management, Database Development

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Databricks Machine Learning Fundamentals

    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

  • Status: New
    New
    P

    Packt

    Building Modern Data Applications Using Databricks Lakehouse

    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

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In summary, here are 10 of our most popular databricks courses

  • Mastering Azure Databricks for Data Engineers: Packt
  • Fundamentals of Azure Databricks: Packt
  • Microsoft Data Architecture for Modern Data Stacks: Microsoft
  • Perform data science with Azure Databricks: Microsoft
  • Databricks to Local LLMs: Duke University
  • Data Management with Databricks: Big Data with Delta Lakes: Coursera
  • ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
  • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
  • Learn SQL with Databricks: Edureka
  • Business Intelligence with Databricks: Edureka

Frequently Asked Questions about Databricks

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:

  1. Preview the first module of many databricks courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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