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    • Pyspark

    PySpark Courses Online

    Learn PySpark for big data processing. Understand how to use PySpark for distributed data analysis and machine learning.

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    Explore the PySpark Course Catalog

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K 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, Kubernetes, Matplotlib, Apache Spark, Dashboard, Virtualization, MLOps (Machine Learning Operations), Devops Tools, Apache Hadoop

      3.8
      Rating, 3.8 out of 5 stars
      ·
      96 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of California San Diego

      Hadoop Platform and Application Framework

      Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, Data Processing, Distributed Computing, Performance Tuning, Scalability

      4
      Rating, 4 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Python for Data Analysis: Pandas & NumPy

      Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      340 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      Engineering Data Ecosystems: Pipelines, ETL, Spark

      Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Processing, Data Warehousing, Data Management, Data Architecture

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python Essentials for MLOps

      Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Data Manipulation, Software Testing, Data Import/Export, Python Programming, Debugging, Data Structures, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

      4.2
      Rating, 4.2 out of 5 stars
      ·
      274 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning with PySpark

      Skills you'll gain: PySpark, Apache Spark, Unsupervised Learning, Data Processing, Distributed Computing, Big Data, Feature Engineering, Machine Learning, Machine Learning Algorithms, Supervised Learning, Scalability, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Project Network

      Real-time analytics with Spark: User Activity Monitoring

      Skills you'll gain: Apache Spark, Data Pipelines, PySpark, Real Time Data, Query Languages, Data Transformation, SQL

      Intermediate · Guided Project · Less Than 2 Hours

    • 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, Scikit Learn (Machine Learning Library), Deep Learning, Data Transformation, Machine Learning, Distributed Computing, Feature Engineering, Exploratory Data Analysis

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Developing Applications in Python on AWS

      Skills you'll gain: Software Architecture, Amazon DynamoDB, Cloud Applications, Databases, Amazon Web Services, Event-Driven Programming, API Gateway, Relational Databases, Serverless Computing, Python Programming, Service Oriented Architecture, Microservices, Application Programming Interface (API), NoSQL, Application Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Enterprise Model Deployment

      Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Machine Learning, Containerization, Python Programming, Performance Tuning, Scalability, Design Thinking

      4.2
      Rating, 4.2 out of 5 stars
      ·
      55 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Modernizing Data Lakes and Data Warehouses with Google Cloud

      Skills you'll gain: Data Lakes, Data Warehousing, Cloud Engineering, Google Cloud Platform, Data Infrastructure, Cloud Storage, Data Pipelines, Big Data, Data Processing, Data Transformation, SQL, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

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    1234…10

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

    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • Applied Python Data Engineering: Duke University
    • Hadoop Platform and Application Framework: University of California San Diego
    • Python for Data Analysis: Pandas & NumPy: Coursera Project Network
    • Engineering Data Ecosystems: Pipelines, ETL, Spark: Coursera Instructor Network
    • Python Essentials for MLOps: Duke University
    • Machine Learning with PySpark: Edureka
    • Real-time analytics with Spark: User Activity Monitoring: Coursera Project Network
    • Perform data science with Azure Databricks: Microsoft
    • Developing Applications in Python on AWS: Amazon Web Services

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