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  • Pyspark

PySpark Courses

PySpark courses can help you learn data manipulation, distributed computing, and data analysis techniques. You can build skills in working with large datasets, performing transformations, and executing machine learning algorithms. Many courses introduce tools like Apache Spark and its libraries, that support processing big data efficiently and integrating with AI applications.


Popular PySpark Courses and Certifications


  • C

    Coursera

    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
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Streaming Big Data with Spark Streaming, Scala, and Spark 3!

    Skills you'll gain: Apache Kafka, Apache Spark, Scala Programming, Real Time Data, Apache Hadoop, Apache Cassandra, Applied Machine Learning, Big Data, Data Processing, Application Deployment, Distributed Computing, Development Environment

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark (Scala 2 version)

    Skills you'll gain: Apache Spark, Scala Programming, Apache Hadoop, Big Data, Data Manipulation, Distributed Computing, Data Processing, Performance Tuning, SQL, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Dataproc: Qwik Start - Command Line

    Skills you'll gain: Apache Spark, Google Cloud Platform, Data Processing, Apache Hadoop, Big Data, Cloud Computing, Scalability, System Configuration

    Beginner · Project · Less Than 2 Hours

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

    EDUCBA

    Integrating Python for Web Systems, Testing, and Packaging

    Skills you'll gain: Server Side, Web Development, Web Scraping, Web Applications, Back-End Web Development, Integration Testing, Web Development Tools, Web Services, Extensible Markup Language (XML), Package and Software Management, Development Testing, Unit Testing, Scripting, Performance Tuning, Cross Platform Development, Hypertext Markup Language (HTML), Interoperability, Debugging

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Science with NumPy, Sets, and Dictionaries

    Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Image Analysis, Data Processing, Data Science, Data Manipulation, Big Data, Performance Tuning, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Distributed Image Processing in Cloud Dataproc

    Skills you'll gain: Apache Spark, PySpark, Google Cloud Platform, Cloud Management, Cloud Computing, Distributed Computing, Package and Software Management

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    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

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    PyCaret: Anatomy of Regression

    Skills you'll gain: Regression Analysis, Statistical Modeling, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Data Manipulation, Pandas (Python Package), Machine Learning Methods, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Michigan

    파이썬의 데이터 과학 소개

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Science, Data Analysis, Data Transformation, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors

    Skills you'll gain: MySQL, Google Cloud Platform, Data Mining, Database Administration, Microsoft SQL Servers, Cloud API, PostgreSQL, Metadata Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Dataflow: Qwik Start - Python

    Skills you'll gain: Data Pipelines, Dataflow, Data Processing, Google Cloud Platform, Development Environment, Cloud Development, Cloud Services, Program Development, Software Installation, Computer Programming Tools

    Beginner · Project · Less Than 2 Hours

Searches related to pyspark

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pyspark in action: hands-on data processing
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pyspark foundations: process, analyze, and summarize data
pyspark: apply & evaluate predictive ml models
pyspark: apply & analyze advanced data processing
spark and python for big data with pyspark
introduction to pyspark
1…78910

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

  • Principal Component Analysis with NumPy: Coursera
  • Streaming Big Data with Spark Streaming, Scala, and Spark 3!: Packt
  • Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • Dataproc: Qwik Start - Command Line: Google Cloud
  • Integrating Python for Web Systems, Testing, and Packaging: EDUCBA
  • Data Science with NumPy, Sets, and Dictionaries: Duke University
  • Distributed Image Processing in Cloud Dataproc: Google Cloud
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • PyCaret: Anatomy of Regression: Coursera
  • 파이썬의 데이터 과학 소개: University of Michigan

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