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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


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    Coursera

    Open source Data Engineering with Spark, dbt & Airflow

    Skills you'll gain: Data Warehousing, Data Flow Diagrams (DFDs), Data Modeling, Data Pipelines, Ansible, Cloud Security, Data Validation, Database Design, Data Quality, Apache Airflow, Star Schema, Snowflake Schema, Interviewing Skills, Apache Spark, PySpark, CI/CD, Docker (Software), SQL, Workflow Management, Git (Version Control System)

    Intermediate · Professional Certificate · 3 - 6 Months

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    Coursera

    Optimizing Spark and Cloud Data Storage for Analytics

    Skills you'll gain: Cloud Security, Apache Spark, Transaction Processing, Data Lakes, PySpark, Data Security, Data Infrastructure, Performance Tuning, Cloud Computing, Cloud Computing Architecture, Amazon S3, Cloud Storage, Data Storage Technologies, Data Storage, Cloud Deployment, Data Warehousing, Data Management, Infrastructure Architecture, Data Integrity, Infrastructure as Code (IaC)

    Beginner · Course · 1 - 3 Months

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    Coursera

    Databricks GenAI Engineering

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Databricks Machine Learning Quickstart

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    ML Data Pipelines and Communicating AI Insights

    Skills you'll gain: Feature Engineering, Extract, Transform, Load, Data Pipelines, Data Transformation, Model Evaluation, MLOps (Machine Learning Operations), Pandas (Python Package), Data Storytelling, Data Preprocessing, PySpark, Data Quality, Apache Spark, Data-Driven Decision-Making, A/B Testing, Data Analysis, Data Visualization, Data Governance, Data Cleansing, Exploratory Data Analysis, Machine Learning

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Building Automated Data Pipelines with Spark,dbt,and Airflow

    Skills you'll gain: Data Flow Diagrams (DFDs), Apache Airflow, Data Pipelines, Data Modeling, Data Integration, Data Architecture, Data Warehousing, Apache Spark, Extract, Transform, Load, Database Development, Data Processing, Data Transformation, Data Quality, Data Validation, Configuration Management, Enterprise Security

    Beginner · Course · 1 - 3 Months

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    Microsoft

    Data Analytics and Machine Learning for Big Data

    Skills you'll gain: Apache Spark, MLOps (Machine Learning Operations), Large Language Modeling, Keras (Neural Network Library)

    Intermediate · Course · 1 - 3 Months

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    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
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    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Applied Machine Learning, Machine Learning, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

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    Pragmatic AI Labs

    Production Governance and MLOps on Databricks

    Skills you'll gain: Databricks, Role-Based Access Control (RBAC), MLOps (Machine Learning Operations), Data Lakes, Data Governance, GitHub, Model Deployment, Data Management, CI/CD, Data Quality, Git (Version Control System), Continuous Integration, Data Engineering, Continuous Monitoring, Python Programming, Command-Line Interface

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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
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    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Engineer, Validate, and Govern ML Data

    Skills you'll gain: Apache Airflow, Data Governance, Apache Spark, PySpark, Databricks

    Intermediate · Course · 1 - 4 Weeks

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

  • Open source Data Engineering with Spark, dbt & Airflow: Coursera
  • Optimizing Spark and Cloud Data Storage for Analytics: Coursera
  • Databricks GenAI Engineering: Coursera
  • Databricks Machine Learning Quickstart: Coursera
  • ML Data Pipelines and Communicating AI Insights : Coursera
  • Building Automated Data Pipelines with Spark,dbt,and Airflow: Coursera
  • Data Analytics and Machine Learning for Big Data: Microsoft
  • Preparing for Google Cloud Certification: Cloud Data Engr: Google Cloud
  • Machine Learning with PySpark: Edureka
  • Production Governance and MLOps on Databricks: Pragmatic AI Labs

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