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: Free Trial

    University of Colorado System

    Skills you'll gain: Data Manipulation, Bioinformatics, Informatics, Data Processing, Clinical Informatics, Data Science, Health Informatics, Clinical Data Management, Analytics, Machine Learning Algorithms, Data Validation

  • Skills you'll gain: SAS (Software), Data Import/Export, Statistical Analysis, Data Analysis, Statistical Programming, Data Manipulation, Data Processing, Data Access, Computer Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Processing

  • Status: Preview

    Skills you'll gain: SAS (Software), Data Analysis Software, R (Software), Advanced Analytics, R Programming, Big Data, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Statistical Programming, Jupyter, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Restful API, Computer Vision, Artificial Neural Networks

  • Status: Preview

    Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Statistical Machine Learning, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Data Cleansing, Predictive Analytics, No-Code Development, Statistical Programming, Performance Tuning

  • Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

  • Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Data Processing

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Jupyter, Machine Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Performance Metric

  • Status: Free Trial

    Skills you'll gain: Large Language Modeling, LLM Application, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Data Management, Prompt Engineering, Training Programs, Data Validation, Data Cleansing, Program Evaluation, Natural Language Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning, Data Processing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Regression Analysis, Data Manipulation, Statistical Modeling, Data Transformation, Data Cleansing

  • Skills you'll gain: Cloud API, Google Cloud Platform, Application Programming Interface (API), LLM Application, Generative AI, Natural Language Processing, Data Processing, Jupyter, Python Programming

  • Status: Free Trial
    Status: AI skills

    Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms

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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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