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Databricks Courses Online

Explore Databricks for big data processing and analytics. Learn to use Apache Spark and Databricks for scalable data analysis and machine learning.

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Explore the Databricks Course Catalog

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Big Data with Spark and Hadoop

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, Performance Tuning, Data Transformation, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    461 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Spark and Python for Big Data with PySpark

    Skills you'll gain: PySpark, Apache Spark, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Customer Analysis, Apache Hadoop, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Data Processing, Advanced Analytics, Big Data, Apache Maven, Statistical Machine Learning, Unsupervised Learning, SQL, Apache, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    19 reviews

    Beginner · Specialization · 1 - 3 Months

  • 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, Command-Line Interface

    4.5
    Rating, 4.5 out of 5 stars
    ·
    432 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    W

    Whizlabs

    Data Governance with Databricks

    Skills you'll gain: Data Governance, Extract, Transform, Load, Metadata Management, Role-Based Access Control (RBAC), Data Cleansing, Databricks, Data Management, Data Pipelines, Data Lakes, Amazon Web Services, Amazon Redshift, Data Architecture, Data Security, Personally Identifiable Information, Data Warehousing, Data Quality, General Data Protection Regulation (GDPR), Fraud detection

    3.7
    Rating, 3.7 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Data Fundamentals DP-900 Exam Prep

    Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Power BI, Databricks, Data Processing, Data Warehousing, Database Systems, Databases, Cloud Services, Data Architecture, NoSQL, Database Administration, Relational Databases, MySQL, Data Store, SQL, Cloud Storage, Database Management, Data Storage, Data Lakes

    4.6
    Rating, 4.6 out of 5 stars
    ·
    868 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Introduction to Data Engineering

    Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Modeling, Data Processing, System Requirements, Performance Tuning, Security Controls, Data Transformation, Scalability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    434 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Applied Python Data Engineering

    Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plotly, Data Pipelines, Matplotlib, Kubernetes, Dashboard, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    105 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    799 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Modern Data Warehouse Analytics in Microsoft Azure

    Skills you'll gain: Azure Synapse Analytics, Power BI, Databricks, Microsoft Azure, Cloud Services, Data Warehousing, Data Architecture, Databases, Data Lakes, Business Intelligence, Analytics, Big Data, Data Visualization Software, Data Integration, Data Processing, Data Pipelines, Data Visualization

    4.4
    Rating, 4.4 out of 5 stars
    ·
    125 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Engineering Foundations

    Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, IBM DB2, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Databases, Data Warehousing, Data Governance, Database Management Systems, Relational Databases, Stored Procedure, Data Import/Export, Programming Principles, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    58K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Engineering

    Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    111 reviews

    Intermediate · Course · 1 - 4 Weeks

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1234…9

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

  • Introduction to Big Data with Spark and Hadoop: IBM
  • Spark and Python for Big Data with PySpark: EDUCBA
  • ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
  • Data Governance with Databricks: Whizlabs
  • Microsoft Azure Data Fundamentals DP-900 Exam Prep: Microsoft
  • Introduction to Data Engineering: DeepLearning.AI
  • Applied Python Data Engineering: Duke University
  • NoSQL, Big Data, and Spark Foundations: IBM
  • Modern Data Warehouse Analytics in Microsoft Azure: Microsoft
  • Data Engineering Foundations: IBM

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