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  • Data Processing With Apache Spark

Results for "data processing with apache spark"


  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Data Analytics

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Data Integration, Data Lakes, Business Intelligence, Apache Hive, Apache Spark, Amazon Web Services, Extract, Transform, Load, Big Data, Apache Hadoop, Real Time Data, Applied Machine Learning, Data Pipelines, Data Processing, Serverless Computing

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Use Go Code to Work with Google Cloud Data Sources

    Skills you'll gain: Google App Engine, Application Deployment, Google Cloud Platform, Go (Programming Language), Cloud Applications, Cloud Development, Software Testing, Data Access, Big Data, Database Application

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The Data Scientist’s Toolbox

    Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    34K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Data Analytics

    Skills you'll gain: Data Presentation, Data Storytelling, Presentations, Data Cleansing, Data Visualization, Rmarkdown, Data-Driven Decision-Making, Data Validation, Data Ethics, Interactive Data Visualization, Dashboard, Spreadsheet Software, Ggplot2, Google Sheets, SQL, Data Literacy, Data Collection, Data Analysis, Sampling (Statistics), Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    328 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Visualization Capstone

    Skills you'll gain: Data Visualization Software, Data Literacy, Storyboarding, Statistical Visualization, Data Storytelling, Data Manipulation, Data Presentation, Ggplot2, Statistical Reporting, Dashboard, Data Synthesis, Data Analysis, Data Cleansing, R Programming, Tidyverse (R Package), Data Preprocessing, Data Transformation, Data Import/Export, Graphing

    5
    Rating, 5 out of 5 stars
    ·
    34 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Model Deployment, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Other Programming Languages, Version Control, Python Programming, Open Source Technology

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30K reviews

    Beginner · 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
    I

    IBM

    Applied Data Science Capstone

    Skills you'll gain: Plotly, Predictive Modeling, Exploratory Data Analysis, Data Storytelling, Statistical Machine Learning, Data Science, Business Analytics, Data-Driven Decision-Making, Pandas (Python Package), Data Analysis, Web Scraping, Data Wrangling, Model Evaluation, Python Programming, SQL, GitHub

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.4K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Data Cleaning in Excel: Techniques to Clean Messy Data

    Skills you'll gain: Data Analysis, Data Cleansing, Microsoft Excel, Exploratory Data Analysis, Data Manipulation, Data Preprocessing, Data Quality, Excel Formulas

    4.5
    Rating, 4.5 out of 5 stars
    ·
    54 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Getting and Cleaning Data

    Skills you'll gain: Data Manipulation, Data Cleansing, Data Integration, Data Preprocessing, Data Import/Export, Data Collection, Data Management, Web Scraping, Data Access, R Programming, MySQL, Application Programming Interface (API)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Managing Data as a Product: Scalable Data Architectures

    Skills you'll gain: Data Architecture, Data Infrastructure, Distributed Computing, Data Modeling, Scalability, Data Management, Data Strategy, Microservices, Solution Architecture, Data Governance, Software Architecture, Semantic Web, Data Integration, Information Architecture, CI/CD, Software Design, Maintainability, Enterprise Architecture, Data Analysis, Generative AI

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Using Data Effectively

    Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, Data Science, Statistical Methods, Anomaly Detection, Probability Distribution, Machine Learning Methods, Estimation, Statistical Analysis, Sampling (Statistics)

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular data processing with apache spark courses

  • AWS: Data Analytics: Whizlabs
  • Use Go Code to Work with Google Cloud Data Sources: Google Cloud
  • The Data Scientist’s Toolbox: Johns Hopkins University
  • Google Data Analytics: Google
  • Data Visualization Capstone: Johns Hopkins University
  • Tools for Data Science: IBM
  • Designing data-intensive applications: Universidad Nacional Autónoma de México
  • Applied Data Science Capstone: IBM
  • Data Cleaning in Excel: Techniques to Clean Messy Data: Coursera
  • Getting and Cleaning Data: Johns Hopkins University

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