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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Results for "data processing"

  • Skills you'll gain: Feature Engineering, Tensorflow, Data Pipelines, Data Processing, MLOps (Machine Learning Operations), Keras (Neural Network Library), Data Transformation, Machine Learning, Real Time Data, Scalability

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Google Cloud Platform, Real Time Data, Big Data, Applied Machine Learning, Extract, Transform, Load, Data Processing, Serverless Computing, SQL, Scalability, Performance Tuning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Software Installation, Programming Principles, Data Validation, Scripting Languages, Python Programming, Program Development, Scripting, Computational Thinking, Development Environment, Data Processing, Computer Programming, Algorithms, Debugging

  • Status: Free Trial

    Skills you'll gain: Software Design, Java, Java Programming, Object Oriented Programming (OOP), Data Processing, Data Analysis, Data Structures, Algorithms, Hypertext Markup Language (HTML)

  • Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Performance Tuning, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging, Data Processing, Data Pipelines

  • Status: Preview

    University of London

    Skills you'll gain: Machine Learning, Data Processing, Artificial Intelligence, Data Analysis, Machine Learning Algorithms, Computer Vision, Data Collection, Software Testing

  • Status: New

    Skills you'll gain: Dataflow, Data Pipelines, Unit Testing, Data Processing, Debugging, System Monitoring, Data Integrity, CI/CD, Google Cloud Platform, Event Monitoring, Performance Tuning, Dashboard, Disaster Recovery

  • Status: Preview

    Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Infectious Diseases, Medical Science and Research, Data Analysis Software, Database Development, Data Pipelines, Data Processing

  • Status: Free Trial

    Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scalability

  • Status: Free Trial

    Alberta Machine Intelligence Institute

    Skills you'll gain: Supervised Learning, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Data Quality, Data Processing, MLOps (Machine Learning Operations), Jupyter, Data Validation, Machine Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Machine Learning Methods, Ethical Standards And Conduct, Classification And Regression Tree (CART), Test Data, Project Management

  • Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Processing, Data Transformation, Data Pipelines, Keras (Neural Network Library), Applied Machine Learning, Machine Learning Methods, Machine Learning

  • Status: Free Trial

    Rutgers the State University of New Jersey

    Skills you'll gain: Demand Planning, Customer Demand Planning, Regression Analysis, Data Collection, Supply Chain Planning, Statistical Analysis, Forecasting, Data Processing, Marketing Analytics, Predictive Analytics, Advanced Analytics, Trend Analysis, Predictive Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, Data Visualization, Data Visualization Software

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Gain the knowledge and skills you need to advance.

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

    description:

    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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