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: Bioinformatics, R Programming, Molecular Biology, Data Manipulation, Programming Principles, Data Processing

  • Status: New
    Status: Preview

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Risk Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Credit Risk, Predictive Analytics, Random Forest Algorithm, Data Processing, Feature Engineering, Financial Modeling, Data Manipulation, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Supervised Learning, Performance Metric, Performance Tuning

  • Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

  • Status: New

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring

  • Status: Preview

    DeepLearning.AI

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

    Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, OpenAI, Business Process Automation, Data Processing, Application Programming Interface (API), Data Analysis

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, DevOps, Continuous Deployment, Automation, Application Deployment, Applied Machine Learning, Machine Learning, Software Development Life Cycle, Continuous Integration, Data Processing

  • Status: New
    Status: Preview

    Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Pandas (Python Package), Heat Maps, Data Processing, Seaborn, Histogram, Matplotlib, Exploratory Data Analysis, Data Analysis, Predictive Modeling, Data Visualization Software

  • Status: Preview

    Skills you'll gain: Deep Learning, Tensorflow, Data Processing, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Analysis, Machine Learning, Algorithms, Statistics

  • Status: Free Trial

    Skills you'll gain: Data Import/Export, Python Programming, File Management, Functional Design, Programming Principles, Data Processing, Data Structures, Debugging

  • 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