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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1online degree
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Results for "data processing"

  • Status: Free Trial

    Skills you'll gain: Data Storytelling, Presentations, Rmarkdown, Data Presentation, Data Cleansing, Data Visualization, Ggplot2, Data Validation, Spreadsheet Software, Data Visualization Software, Data Ethics, Data Analysis, Data-Driven Decision-Making, Tableau Software, Data Literacy, Data Processing, Dashboard, Business Analysis, Stakeholder Communications, Databases

  • Status: New
    Status: Free Trial

    Skills you'll gain: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), CI/CD, Statistical Methods, Data Quality, Real Time Data, Resource Management

  • Status: New
    Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Processing, Data Integration, Statistical Programming, Data Analysis, Data Presentation

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences, Data Processing, Computer Science

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Image Analysis, Diagnostic Radiology, Predictive Modeling, Data Processing, Artificial Intelligence, Tensorflow, Applied Machine Learning, Medical Imaging, Keras (Neural Network Library), Computer Vision, Deep Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Magnetic Resonance Imaging, Probability & Statistics, X-Ray Computed Tomography

  • Status: New
    Status: Free Trial

    Skills you'll gain: Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Data Processing, Pandas (Python Package), NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, Statistical Modeling, Feature Engineering, Unsupervised Learning, Performance Tuning

  • University of California San Diego

    Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, Data Processing, Distributed Computing, Performance Tuning, Scalability, Data Storage, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Customer Analysis, Predictive Modeling, Data Processing, Feature Engineering, Predictive Analytics, Exploratory Data Analysis, Data Cleansing, Software Installation

  • Status: New
    Status: Free Trial

    Skills you'll gain: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Resource Management

  • Skills you'll gain: Tensorflow, Python Programming, Natural Language Processing, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Machine Learning, Data Processing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Feature Engineering, Machine Learning, Data Validation, Data Processing, Machine Learning Algorithms, Data Manipulation, Exploratory Data Analysis, Data Integrity, Analysis, Statistical Analysis

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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