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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


  • Status: New
    New
    P

    Packt

    Building Modern Data Applications Using Databricks Lakehouse

    Skills you'll gain: Databricks, Data Lakes, Data Transformation, Data Quality, Data Governance, Data Pipelines, Real Time Data, Data Warehousing, Data Management, Terraform, Data Validation, Apache Spark, Data Integrity, Data Storage, CI/CD, Cloud Computing, Scalability, Data Security

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Microsoft Fabric: Fundamentals and Power BI Workflow

    Skills you'll gain: Data Analysis Expressions (DAX), Real Time Data, Dataflow, Extract, Transform, Load, Business Intelligence

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python Project for Data Science

    Skills you'll gain: Dashboard, Pandas (Python Package), Data Presentation, Web Scraping, Jupyter, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
    ·
    176 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Processing, Exploratory Analysis and Visualization

    Skills you'll gain: PySpark, Power BI, Apache Spark, Data Visualization Software, Distributed Computing, Databricks, Interactive Data Visualization, Dashboard, Big Data, SQL, Business Intelligence, Data Processing, Data Pipelines, Query Languages, Self Service Technologies, Data Transformation, Performance Tuning

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Analytics and Machine Learning for Big Data

    Skills you'll gain: Feature Engineering, PySpark, Model Evaluation, Deep Learning, Applied Machine Learning, Generative AI, Large Language Modeling, Transfer Learning, Data Pipelines, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Supervised Learning, Big Data, PyTorch (Machine Learning Library), Machine Learning, Unsupervised Learning, Natural Language Processing, MLOps (Machine Learning Operations), Text Mining

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Data Engr

    Skills you'll gain: Real Time Data, Data Lakes, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Data Pipelines, Cloud Storage, Data Import/Export, Dataflow, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Infrastructure, Tensorflow, Data Warehousing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • P

    Packt

    Playwright Python and Pytest for Web Automation Testing

    Skills you'll gain: Continuous Integration, Test Automation, Authentications, CI/CD, Test Script Development, API Testing, Software Testing, Unit Testing, Behavior-Driven Development, Web Development Tools, Test Case, GitHub, User Interface (UI)

    4.2
    Rating, 4.2 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Python for Genomic Data Science

    Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Programming Principles, Object Oriented Programming (OOP), File I/O, Computational Logic, Package and Software Management, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.8K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking

    4.3
    Rating, 4.3 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • Building Modern Data Applications Using Databricks Lakehouse: Packt
  • Databricks Machine Learning Fundamentals: Coursera
  • Microsoft Fabric: Fundamentals and Power BI Workflow: Packt
  • Python Project for Data Science: IBM
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Data Processing, Exploratory Analysis and Visualization: Microsoft
  • Data Analytics and Machine Learning for Big Data: Microsoft
  • Preparing for Google Cloud Certification: Cloud Data Engr: Google Cloud
  • Playwright Python and Pytest for Web Automation Testing: Packt

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