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Spark Courses

Spark courses can help you learn data processing, real-time analytics, machine learning integration, and big data management. You can build skills in distributed computing, data visualization, and optimizing performance for large datasets. Many courses introduce tools like Apache Spark, Scala, and Python, showing how these technologies are used to handle vast amounts of data efficiently and support AI applications.


Popular Spark Courses and Certifications


  • P

    Pearson

    Google BigQuery for Data and ML Engineers

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Data Integration, Google Cloud Platform, Data Processing, Data Quality, Data Validation, Apache Spark, Generative AI, Data Manipulation, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning Methods, Model Evaluation, Machine Learning, Time Series Analysis and Forecasting, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Processing, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Store, Apache Spark, Azure Synapse Analytics, Model Training, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Orchestrate & Recover Real-Time Data Pipelines

    Skills you'll gain: Data Pipelines, Apache Airflow, Dataflow, Site Reliability Engineering, Disaster Recovery, Apache Kafka, Data Integrity, Data Infrastructure, Workflow Management, Real Time Data, Data Processing, Apache Spark

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Training, Amazon Web Services, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    Edureka

    Lakehouse Architecture and Delta Lake with Databricks

    Skills you'll gain: Transaction Processing, Data Lakes, Data Architecture, Databricks, Data Infrastructure, Data Pipelines, Data Warehousing, Data Integration, Apache Spark, Data Processing, Real Time Data, Big Data, Scalability, Performance Tuning, Data Quality, Data Storage Technologies, SQL

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Databricks ML in Action

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, Data Preprocessing, Applied Machine Learning, Data Lakes, Extract, Transform, Load, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Architecture, Machine Learning, Artificial Intelligence

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Ultimate AWS Data Engineering Bootcamp - 15 Real-World Labs

    Skills you'll gain: Cloud Engineering, Data Transformation

    Intermediate · Course · 3 - 6 Months

  • G

    Google Cloud

    Einführung in Data Engineering in Google Cloud

    Skills you'll gain: Data Sharing, Data Pipelines, Data Migration, Google Cloud Platform, Data Infrastructure, Data Warehousing, Cloud Storage, Data Integration, Data Lakes, Data Processing, Data Import/Export, Extract, Transform, Load, Data Storage, Big Data, Command-Line Interface, Data Transformation, IT Automation, Apache Spark, Metadata Management, Automation

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - Français

    Skills you'll gain: Extract, Transform, Load, Data Sharing, Data Pipelines, Metadata Management, Google Cloud Platform, Data Migration, Data Processing, Data Infrastructure, Big Data, Data Integration, Apache Airflow, Cloud Storage, Data Warehousing, Data Management, Data Lakes, Data Import/Export, Data Storage, Data Transformation, Apache Spark, Serverless Computing

    Beginner · Course · 1 - 3 Months

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

    Packt

    Orchestrating Data Pipelines and Advanced Data Strategies

    Skills you'll gain: Cloud Computing Architecture, Amazon Elastic Compute Cloud, Cloud Engineering, Data Visualization Software, Cloud Storage, Data Import/Export, Dashboard Creation, Data Strategy, Data Integration, Real Time Data, Data Storage, Data Validation

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Google Cloud에서 일괄 데이터 파이프라인 빌드하기

    Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Data Warehousing, Extract, Transform, Load, Data Quality, Data Maintenance, Data Validation, Data Cleansing, Performance Tuning, Data Processing, Data Management, Apache Spark, Cloud Services, Data Transformation, Serverless Computing, System Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Pittsburgh

    Master of Data Science

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Tool Calling, Database Systems, Data Visualization, Database Design, Generative AI, Large Language Modeling, Database Management, Databases, Supervised Learning, Web Services, Data Ethics, Apache Spark, Bayesian Statistics, Time Series Analysis and Forecasting, Database Theory, Unsupervised Learning, Linear Algebra, Model Deployment

    Earn a degree

    Degree · 1 - 4 Years

1…202122…23

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

  • Google BigQuery for Data and ML Engineers: Pearson
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Orchestrate & Recover Real-Time Data Pipelines: Coursera
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Lakehouse Architecture and Delta Lake with Databricks: Edureka
  • Databricks ML in Action: Packt
  • Ultimate AWS Data Engineering Bootcamp - 15 Real-World Labs: Packt
  • Einführung in Data Engineering in Google Cloud: Google Cloud
  • Introduction to Data Engineering on Google Cloud - Français: Google Cloud
  • Orchestrating Data Pipelines and Advanced Data Strategies: Packt

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