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  • Data Parallelism

Results for "data parallelism"


  • C

    Coursera

    Python for Data Analysis: Pandas & NumPy

    Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Exploratory Data Analysis, Data Manipulation, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    371 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Building Batch Data Pipelines on Google Cloud - 한국어

    Skills you'll gain: Dataflow, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Processing, Google Cloud Platform, Serverless Computing, Big Data, Apache Spark, Apache Hadoop, Cloud Storage, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Designing data-intensive applications

    Skills you'll gain: Data Mining, Database Design, Scalability, Database Systems, Relational Databases, Unstructured Data, Transaction Processing, Databases, Systems Design, Big Data, Data Architecture, NoSQL, Data Processing, Maintainability, Software Design, SQL, Apache Hadoop

    4.3
    Rating, 4.3 out of 5 stars
    ·
    39 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Analysis with Python Project

    Skills you'll gain: Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Regression Analysis, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Exploratory Data Analysis, Project Planning

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Data Analysis Using Pyspark

    Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    314 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Serverless Data Processing with Dataflow: Operations - 日本語版

    Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Debugging, Performance Tuning, Serverless Computing, CI/CD, Unit Testing, Google Cloud Platform, Disaster Recovery, Integration Testing

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data Integration and Processing

    Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), SQL, PostgreSQL

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Intro to Data Analytics, SQL, and EDA Using Python

    Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Data Visualization, Data Visualization Software, Matplotlib, Data Storage, Pandas (Python Package), Big Data, Data Science, Data Management, Data Manipulation, Data Cleansing, NumPy

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Processing and Manipulation

    Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Processing, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Feature Engineering, Sampling (Statistics), Exploratory Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Data Storage Technologies, Apache Hadoop, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Machine Learning, Live Streaming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    342 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Data Storage and Queries

    Skills you'll gain: Data Storage, Query Languages, Data Lakes, File Systems, Database Systems, SQL, Databases, Data Architecture, Cloud Storage, Data Warehousing, Amazon Web Services, Amazon S3, Graph Theory, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    75 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Science with NumPy, Sets, and Dictionaries

    Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Image Analysis, Data Processing, Data Science, Data Manipulation, Big Data, Performance Tuning, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular data parallelism courses

  • Python for Data Analysis: Pandas & NumPy: Coursera
  • Building Batch Data Pipelines on Google Cloud - 한국어: Google Cloud
  • Designing data-intensive applications: Universidad Nacional Autónoma de México
  • Data Analysis with Python Project : University of Colorado Boulder
  • Data Analysis Using Pyspark: Coursera
  • Serverless Data Processing with Dataflow: Operations - 日本語版 : Google Cloud
  • Big Data Integration and Processing: University of California San Diego
  • Intro to Data Analytics, SQL, and EDA Using Python: University of Pennsylvania
  • Data Processing and Manipulation: University of Colorado Boulder
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign

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