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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


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    EDUCBA

    Hadoop Projects: Apply MapReduce, Pig & Hive

    Skills you'll gain: Apache Hadoop, Apache Hive, Big Data, Data Analysis, Data Processing, Query Languages, Unstructured Data, Data Transformation, Scripting

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    NoSQL Databases: Analyze & Implement Scalable Systems

    Skills you'll gain: NoSQL, Big Data, Data Pipelines, Databases, Real Time Data, Scalability, Distributed Computing, Data Processing, Database Architecture and Administration, Data Integrity, Machine Learning Algorithms, Machine Learning

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Advanced Python for Data Analysis: Build & Optimize

    Skills you'll gain: Database Application, Integrated Development Environments, Computer Networking, Real Time Data, Data Analysis Expressions (DAX), Application Development

    Mixed · Course · 1 - 3 Months

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    EDUCBA

    Hadoop Projects: Analyze Big Data with Hive & Pig

    Skills you'll gain: Apache Hadoop, Apache Hive, Big Data, Data Warehousing, Data Integration, Data Processing, Enterprise Application Management, Performance Tuning, Data Manipulation, Data Analysis, Distributed Computing, Data Import/Export, SQL, Data Transformation, Query Languages

    Mixed · Course · 1 - 3 Months

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    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Probability Distribution, Data Science, Markov Model, Statistics, Simulations, Python Programming, Statistical Visualization, Mathematical Software, Statistical Inference

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    Rating, 4 out of 5 stars
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    109 reviews

    Beginner · Specialization · 1 - 3 Months

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    Packt

    Automation and Project Implementation in Azure Databricks

    Skills you'll gain: Databricks, CI/CD, Microsoft Azure, Data Architecture, Data Pipelines, Data Integration, Data Security, Automation, Data Storage, System Testing, Command-Line Interface

    4.8
    Rating, 4.8 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Building Batch Data Pipelines on Google Cloud

    Skills you'll gain: Data Pipelines, Dataflow, Extract, Transform, Load, Data Processing, Data Quality, Data Warehousing, Data Transformation, Google Cloud Platform, Data Validation, Big Data, Scalability, Apache Spark, Performance Tuning, System Monitoring, Serverless Computing

    4.5
    Rating, 4.5 out of 5 stars
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    1.7K reviews

    Intermediate · Course · 1 - 3 Months

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    Pearson

    Hadoop and Spark Fundamentals: Unit 1

    Skills you'll gain: Apache Spark, Apache Hadoop, Data Lakes, Big Data, Linux Commands, Linux, File Systems, Data Management, Command-Line Interface, Data Processing, Software Installation, Distributed Computing, System Configuration

    Intermediate · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Analysis, Data Storage Technologies

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
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    176 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Duke University

    Data Engineering with Rust

    Skills you'll gain: Data Pipelines, Rust (Programming Language), Restful API, Amazon Web Services, Cloud API, Data Structures, Secure Coding, Data Processing, API Gateway, Cloud Applications, Real Time Data, Data Manipulation, Amazon S3, System Programming, Cryptography, Encryption, Python Programming, Command-Line Interface, Software Testing

    3.4
    Rating, 3.4 out of 5 stars
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    61 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Apache Spark with Scala – Hands-On with Big Data!

    Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Graph Theory, Data Transformation, Development Environment, Distributed Computing, Build Tools, Regression Analysis, Performance Tuning

    Intermediate · Course · 1 - 3 Months

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1…678…10

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

  • Hadoop Projects: Apply MapReduce, Pig & Hive: EDUCBA
  • NoSQL Databases: Analyze & Implement Scalable Systems: EDUCBA
  • Advanced Python for Data Analysis: Build & Optimize: EDUCBA
  • Hadoop Projects: Analyze Big Data with Hive & Pig: EDUCBA
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Automation and Project Implementation in Azure Databricks: Packt
  • Building Batch Data Pipelines on Google Cloud: Google Cloud
  • Hadoop and Spark Fundamentals: Unit 1: Pearson
  • Data Science Fundamentals Part 1: Unit 3: Pearson
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft

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