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"

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Processing, AI Personalization, Data Manipulation, Data Cleansing, Data Transformation, Feature Engineering, Pandas (Python Package), Text Mining, Predictive Modeling, Unstructured Data, Scikit Learn (Machine Learning Library), Data Integration, Python Programming, Data Analysis, Applied Machine Learning, NumPy

  • Skills you'll gain: Apache Spark, Apache Hadoop, Google Cloud Platform, Data Processing, Command-Line Interface, Big Data, Cloud Computing

  • Status: New
    Status: Preview

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Governance, Data Ethics, Data Processing, Risk Mitigation, Algorithms, AI Product Strategy, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Analytical Skills, Business Strategy, Business Planning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Processing, Scalability, Data Manipulation, Pandas (Python Package), Applied Machine Learning, Predictive Modeling, Python Programming, Machine Learning Algorithms, NumPy, Statistical Methods, Exploratory Data Analysis

  • Skills you'll gain: Data Cleansing, Data Compilation, Data Integration, Data Transformation, Data Processing, Data Manipulation, Google Cloud Platform, Excel Formulas, Self Service Technologies

  • Status: New
    Status: Free Trial

    Skills you'll gain: Feature Engineering, AI Personalization, Data Processing, Applied Machine Learning, Data Manipulation, Data Science, Machine Learning, Data Cleansing, Scalability, Machine Learning Algorithms, Python Programming, Data Transformation, Pandas (Python Package), Predictive Analytics, Predictive Modeling, Text Mining, Development Environment, Unstructured Data, Scikit Learn (Machine Learning Library), Data Integration

  • Status: New
    Status: Free Trial

    Skills you'll gain: Kubernetes, Google Cloud Platform, Serverless Computing, Cost Management, Cloud Infrastructure, Cloud Computing Architecture, Cloud Computing, Hybrid Cloud Computing, Cloud Management, Data Processing, System Monitoring, Application Performance Management, Cloud Security, Big Data, Identity and Access Management, Data Warehousing, Cloud Services, Key Management, Application Deployment, Virtual Private Networks (VPN)

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Real Time Data, Google Cloud Platform, Big Data, Data Processing, Advanced Analytics, SQL, Serverless Computing, Scalability, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: Dataflow, Data Pipelines, Real Time Data, Google Cloud Platform, Data Processing, Performance Tuning, Big Data, Data Store, Serverless Computing, Query Languages, Data Transformation, Scalability

  • Status: New
    Status: Free Trial

    Skills you'll gain: Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Computing, Application Deployment, Data Processing, Applied Machine Learning, Scalability, Continuous Deployment, Machine Learning, Performance Tuning

  • Skills you'll gain: Real Time Data, Dataflow, Data Pipelines, Command-Line Interface, Google Cloud Platform, Databases, Operational Databases, Data Processing, Big Data

  • Skills you'll gain: Data Import/Export, Scripting, R Programming, Data Processing, Statistical Programming, Data Structures

Related roles

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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