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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: New
      New
      Status: Preview
      Preview
      O

      O.P. Jindal Global University

      Big Data Analytics

      Skills you'll gain: Big Data, Apache Spark, Apache Hadoop, PySpark, Apache Hive, Databases, Analytics, NoSQL, Data Mining, Data Warehousing, Cloud Computing, Real Time Data, Data Processing, Query Languages, Distributed Computing, Machine Learning Methods, Scripting Languages, Data Manipulation

      Build toward a degree

      Beginner · Course · 1 - 3 Months

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

      Packt

      NumPy, Matplotlib & Pandas – Data Science Prerequisites

      Skills you'll gain: NumPy, Pandas (Python Package), Data Manipulation, Scatter Plots, Jupyter, Data Visualization Software, Machine Learning, Data Science, Data Import/Export, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      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, Data Processing, Data Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • 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

    • P

      Packt

      Snowflake - Build and Architect Data Pipelines Using AWS

      Skills you'll gain: Snowflake Schema, Data Pipelines, Apache Airflow, Data Security, Data Infrastructure, Data Governance, Data Architecture, Extract, Transform, Load, Apache Kafka, Data Lakes, Data Management, Performance Tuning, PySpark, Data Warehousing, Amazon S3, Amazon Web Services, Real Time Data, Data Processing, SQL, Stored Procedure

      Intermediate · Course · 3 - 6 Months

    • 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 Pipelines, Data Processing, Distributed Computing, JSON, Data Manipulation, Data Transformation, Performance Tuning

      Mixed · Course · 1 - 4 Weeks

    • 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: Preview
      Preview
      E

      EDUCBA

      Python: Implement & Evaluate Random Forests for ML

      Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

      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
      P

      Packt

      Data Science Foundations: NumPy, Pandas & Visualization

      Skills you'll gain: Statistical Visualization, Scatter Plots, Histogram, Data Science, Computer Programming

      Beginner · Course · 1 - 3 Months

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    1…456…10

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

    • Big Data Analytics: O.P. Jindal Global University
    • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
    • Real-time analytics with Spark: User Activity Monitoring: Coursera Project Network
    • Principal Component Analysis with NumPy: Coursera Project Network
    • Classification Trees in Python, From Start To Finish: Coursera Project Network
    • Snowflake - Build and Architect Data Pipelines Using AWS: Packt
    • Apache Spark: Apply & Evaluate Big Data Workflows: EDUCBA
    • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
    • Python: Implement & Evaluate Random Forests for ML: EDUCBA
    • Apache Spark: Design & Execute ETL Pipelines Hands-On: EDUCBA

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