Data Processing

Data Processing is the collection and manipulation of data to produce meaningful information. Coursera's data processing catalogue teaches you the techniques to process large volumes of data, convert raw data into understandable formats, and make data-driven decisions. You'll learn about various aspects of data processing such as data cleansing, data integration, data transformation, data storage, and data retrieval. You'll also explore how to perform data processing tasks in different programming languages, use data processing libraries and tools, and implement machine learning algorithms for data analysis. By mastering these skills, you can excel in roles such as data analyst, data scientist, database administrator, and many more.
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474courses

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  • This role has a $137,984 median salary ¹.

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    A Data Engineer builds data pipelines for large datasets, optimizing systems and ensuring reliable data flow using tools like Hadoop and Spark.

    This role has a $137,984 median salary ¹.

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Results for "data processing"

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Debugging, Data Integrity, CI/CD, Performance Tuning, Data Processing, Maintainability, Real Time Data, Unit Testing, Disaster Recovery, Integration Testing

  • Status: Free Trial

    Skills you'll gain: Dataflow, Serverless Computing, Data Pipelines, Identity and Access Management, Cloud Security, Data Security, Google Cloud Platform, Data Processing, Containerization, Scalability

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Business Logic, Real Time Data, Data Processing, Jupyter, Data Manipulation, Google Cloud Platform, Data Transformation, SQL, Analytics

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Data Processing, Real Time Data, Pandas (Python Package), Google Cloud Platform, Data Transformation, JSON, SQL, Jupyter, Analytics

  • Status: Free Trial

    Skills you'll gain: Microsoft Copilot, Data Quality, Anomaly Detection, Data Ethics, Generative AI, Data Pipelines, Data Cleansing, Data Synthesis, Data Validation, Data Processing, Responsible AI, Data Transformation, Natural Language Processing, Prompt Engineering

  • Status: Preview

    Skills you'll gain: Dataflow, Data Pipelines, Business Logic, Real Time Data, Data Processing, Performance Tuning, Jupyter

  • Status: Free Trial

    Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Graph Theory, Data Transformation, Development Environment, Distributed Computing, Build Tools, Regression Analysis, Performance Tuning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Dataflow, Data Migration, Data Architecture, Cloud Computing Architecture, Cloud Storage, Data Pipelines, Cloud Computing, NoSQL, Data Processing, Data Storage, Data Visualization, Databases, Scalability, Capacity Management

  • Skills you'll gain: Dataflow, Data Pipelines, Operational Databases, Data Processing, Debugging, Performance Tuning, Data Integrity, Serverless Computing, CI/CD, Unit Testing, Google Cloud Platform, Disaster Recovery, Integration Testing

  • Status: Free Trial

    Skills you'll gain: Real Time Data, Data Pipelines, Google Cloud Platform, Data Processing, Big Data, SQL, Data Transformation, Performance Tuning, Scalability

  • Status: Preview

    Coursera Instructor Network

    Skills you'll gain: Big Data, Data Processing, Data Analysis, Analytics, Data Lakes, Data Warehousing, Apache Spark, Data Storage Technologies, Apache Hadoop, Real Time Data, Distributed Computing

  • Status: Free Trial

    Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Infrastructure, Data Processing, Dataflow, Data Management, Data Architecture, Scalability

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