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    Results for "magic commands and utilities in databricks"

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python, Bash and SQL Essentials for Data Engineering

      Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      447 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      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
      ·
      175 reviews

      Intermediate · 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
      ·
      109 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      DevOps, DataOps, MLOps

      Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Web Frameworks, Rust (Programming Language), Microsoft Copilot, DevOps, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Command-Line Interface, Big Data

      4.2
      Rating, 4.2 out of 5 stars
      ·
      189 reviews

      Advanced · Course · 1 - 3 Months

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

      EDUCBA

      Microsoft Azure - Data Factory

      Skills you'll gain: Data Integration, Data Pipelines, Data Lakes, Microsoft Azure, Azure Synapse Analytics, Performance Tuning, Data Transformation, Data Validation, Data Storage Technologies, SQL, Data Storage, Cloud Storage

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python and Pandas for Data Engineering

      Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Data Analysis Software, NumPy, Data Import/Export, Integrated Development Environments, Virtual Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      255 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      E

      Edureka

      Introduction to PySpark

      Skills you'll gain: PySpark, Apache Spark, Data Management, Distributed Computing, Apache Hadoop, Data Processing, Data Analysis, Exploratory Data Analysis, Python Programming, Scalability

      3.7
      Rating, 3.7 out of 5 stars
      ·
      44 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineering, Big Data and ML on Google Cloud en Español

      Skills you'll gain: Google Cloud Platform, Real Time Data, Data Pipelines, Dataflow, Cloud Engineering, Data Lakes, Big Data, Dashboard, Cloud Infrastructure, Data Infrastructure, Data Warehousing, Extract, Transform, Load, MLOps (Machine Learning Operations), Data Processing, Cloud Storage, Unstructured Data, Data Visualization Software, Data Storage, Tensorflow, Business Metrics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      810 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      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
      ·
      28 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • 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
      ·
      102 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Spark, Hadoop, and Snowflake for Data Engineering

      Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL, Python Programming

      3.9
      Rating, 3.9 out of 5 stars
      ·
      56 reviews

      Advanced · Course · 1 - 4 Weeks

    • 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

    1234…834

    In summary, here are 10 of our most popular magic commands and utilities in databricks courses

    • Python, Bash and SQL Essentials for Data Engineering: Duke University
    • Microsoft Azure Machine Learning for Data Scientists: Microsoft
    • Machine Learning with Apache Spark: IBM
    • DevOps, DataOps, MLOps: Duke University
    • Microsoft Azure - Data Factory: EDUCBA
    • Python and Pandas for Data Engineering: Duke University
    • Introduction to PySpark: Edureka
    • Data Engineering, Big Data and ML on Google Cloud en Español: Google Cloud
    • Data Management with Databricks: Big Data with Delta Lakes: Coursera Project Network
    • Applied Python Data Engineering: Duke University

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