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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


  • A

    Amazon Web Services

    Python for Serverless Applications and Automation on AWS

    Skills you'll gain: Software Architecture, Amazon Web Services, API Gateway, Amazon DynamoDB, Python Programming, Service Oriented Architecture, Cloud Computing Architecture, Microservices, Serverless Computing, Cloud Applications, Databases, Scripting, Automation, Relational Databases, Application Development, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    B

    Board Infinity

    Managing Data Lakes & Pipelines with Google Cloud Dataplex

    Skills you'll gain: Data Lakes, Data Processing, Google Cloud Platform, Data Warehousing, Data Integration, Data Management, Data Pipelines, Data Governance, Analytics, Data Quality, Data Security, Identity and Access Management, Automation

    3
    Rating, 3 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    BiteSize Python: NumPy and Pandas

    Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Data Analysis, Exploratory Data Analysis

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    S

    SAS

    Using SAS Viya REST APIs with Python and R

    Skills you'll gain: SAS (Software), Data Analysis Software, R (Software), Advanced Analytics, R Programming, Big Data, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Statistical Programming, Jupyter, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Restful API, Computer Vision, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Data Ethics, Data Pipelines, Responsible AI, Machine Learning, Information Privacy, Continuous Monitoring, Data Security, Performance Tuning, Scalability

    3.8
    Rating, 3.8 out of 5 stars
    ·
    68 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Building R Packages

    Skills you'll gain: Open Source Technology, Package and Software Management, GitHub, Version Control, Rmarkdown, Software Documentation, Maintainability, Testability, R Programming, Knitr, Continuous Integration, Git (Version Control System), Technical Documentation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    223 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    Statistics and Clustering in Python

    Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Programming Principles, Data Structures

    3.7
    Rating, 3.7 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    PySide2 Project - Data Fetching Application

    Skills you'll gain: Application Development, Event-Driven Programming, Application Design, User Interface (UI), UI Components, Program Development, Data Import/Export, Development Environment, Data Integration, File Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Mejores prácticas para el procesamiento de datos en Big Data

    Skills you'll gain: Databricks, Real Time Data, PySpark, Apache Hive, Apache Spark, Big Data, Data Processing, SQL, Data Manipulation, Pandas (Python Package)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    43 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

    EDUCBA

    PyMongo - Advanced

    Skills you'll gain: Pandas (Python Package), Databases, Data Pipelines, Database Design, Performance Tuning, Data Transformation, Python Programming, Data Structures, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

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1…789…10

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

  • Python for Serverless Applications and Automation on AWS: Amazon Web Services
  • Managing Data Lakes & Pipelines with Google Cloud Dataplex: Board Infinity
  • BiteSize Python: NumPy and Pandas: University of Colorado Boulder
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • Using SAS Viya REST APIs with Python and R: SAS
  • Build and Operate Machine Learning Solutions with Azure: Microsoft
  • Building R Packages: Johns Hopkins University
  • Statistics and Clustering in Python: University of London
  • Introduction to Data Science and scikit-learn in Python: LearnQuest
  • PySide2 Project - Data Fetching Application: EDUCBA

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