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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

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning with PySpark

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

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Data Storage Technologies, Statistical Machine Learning, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

      AI Workflow: Enterprise Model Deployment

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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      58 reviews

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Principal Component Analysis with NumPy

      Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra

      4.6
      Rating, 4.6 out of 5 stars
      ·
      295 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Classification Trees in Python, From Start To Finish

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      231 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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

      EDUCBA

      PySpark: Apply & Evaluate Predictive ML Models

      Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines

      Mixed · Course · 1 - 4 Weeks

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

      EDUCBA

      Apache Spark: Design & Execute ETL Pipelines Hands-On

      Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, PySpark, Apache Hadoop, Data Transformation, MySQL, Data Manipulation, Java Platform Enterprise Edition (J2EE), Data Store, Data Import/Export, Development Environment, Software Installation, System Configuration

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Hadoop and Spark Fundamentals: Unit 2

      Skills you'll gain: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Analytics, Data Processing, Data Mapping, Text Mining, Distributed Computing, Java, Debugging, Java Programming

      Intermediate · Course · 1 - 4 Weeks

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

      EDUCBA

      Apache Spark: Apply & Evaluate Big Data Workflows

      Skills you'll gain: Apache Spark, PySpark, Big Data, Data Processing, Distributed Computing, Data Store, Scala Programming, JSON, Data Transformation, Performance Tuning

      Mixed · Course · 1 - 4 Weeks

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

      EDUCBA

      Apache Spark with Scala: Master Data Building & Analysis

      Skills you'll gain: Apache Spark, Scala Programming, Apache Hadoop, Apache Maven, Real Time Data, Data Processing, Scalability, Data Structures, Object Oriented Programming (OOP), Systems Integration

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Applying Python for Data Analysis

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Data Visualization, Business Analytics, Data Transformation, Statistics, Data Visualization Software, Statistical Analysis, Trend Analysis, Data Cleansing, Time Series Analysis and Forecasting, Data Import/Export, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…456…10

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

    • Machine Learning with PySpark: Edureka
    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • Microsoft Azure Machine Learning for Data Scientists: Microsoft
    • AI Workflow: Enterprise Model Deployment: IBM
    • Principal Component Analysis with NumPy: Coursera Project Network
    • Classification Trees in Python, From Start To Finish: Coursera Project Network
    • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
    • Apache Spark: Design & Execute ETL Pipelines Hands-On: EDUCBA
    • Hadoop and Spark Fundamentals: Unit 2: Pearson
    • Apache Spark: Apply & Evaluate Big Data Workflows: EDUCBA

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