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: Large Language Modeling, LLM Application, Generative AI, Prompt Engineering, Data Processing, Application Development, MLOps (Machine Learning Operations), Open Source Technology

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Cloud Management, Continuous Deployment, Machine Learning Methods, Applied Machine Learning, Automation, Data Processing, Scalability

  • Status: New
    Status: Preview

    Skills you'll gain: People Analytics, Data Validation, Data Processing, Workforce Management, Advanced Analytics

  • Status: Preview

    Skills you'll gain: Tensorflow, Image Analysis, Computer Vision, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Supervised Learning, Data Processing

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Application Deployment

  • Status: New
    Status: Preview

    Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

  • Status: Preview

    Skills you'll gain: CI/CD, Apache Airflow, Data Pipelines, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Kubernetes, Metadata Management, Machine Learning Methods, Containerization, Data Processing, Data Validation

  • Status: Free Trial

    Skills you'll gain: Data Visualization Software, Data Visualization, Plot (Graphics), Package and Software Management, Python Programming, Data Cleansing, Programming Principles, Data Processing, Data Manipulation, Software Installation, Development Environment, Data Structures, File Management, Scripting, Data Storage, Data Import/Export, Data Analysis, Program Development, Data Integration, Computer Programming

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

  • Status: New

    Skills you'll gain: Dataflow, Serverless Computing, Data Pipelines, Cloud Security, Data Processing, Identity and Access Management, Data Infrastructure, Cloud Storage, Data Storage Technologies, Data Transformation

  • 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