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  • Understanding Big Data Concepts

Results for "understanding big data concepts"


  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Science Methodology

    Skills you'll gain: Peer Review, Data Modeling, Jupyter, Data Collection, Business Analysis, Data Science, Decision Tree Learning, Predictive Modeling, Software Development Methodologies, Data Processing, Business Requirements, Data Cleansing, Data Analysis, Data Mining, Data Quality, Data Transformation, User Feedback, Feature Engineering, Stakeholder Engagement

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Applications of Software Architecture for Big Data

    Skills you'll gain: Data Architecture, Web Applications, Cloud Applications, Software Architecture, Software Engineering, Functional Requirement, Databases, Distributed Computing, Application Deployment, Application Development, Software Testing, System Design and Implementation, Middleware, Big Data, Scalability, Prototyping, CI/CD, Restful API, System Monitoring, Data Analysis

    Build toward a degree

    3.5
    Rating, 3.5 out of 5 stars
    ·
    19 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis and Visualization Foundations

    Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization, Data Visualization Software, Big Data, Microsoft Excel, IBM Cognos Analytics, Data Analysis, Statistical Analysis, Apache Hadoop, Analytical Skills, Excel Formulas, Looker (Software), Scatter Plots, Tree Maps, Apache Hive, Spreadsheet Software, Dashboard, Data Cleansing

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    30K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    OOP concepts, Collections and Data Structures

    Skills you'll gain: Object Oriented Programming (OOP), Java, Object Oriented Design, Data Structures, Computer Programming, Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Exploratory Data Analysis

    Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Statistical Visualization, Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Scatter Plots, Box Plots, Data Analysis, Histogram, Unsupervised Learning, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Google Data Analysis with Python

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Data Wrangling, Package and Software Management, Data Analysis, Data Transformation, Unstructured Data, JSON, Object Oriented Programming (OOP), Data Science, Python Programming, Computer Programming, Programming Principles, Data Import/Export, Software Design, Data Validation, Mathematical Software, Computational Logic, Data Structures

    4.9
    Rating, 4.9 out of 5 stars
    ·
    61 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis with Python

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Python Data Analytics

    Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Matplotlib, Data Visualization, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting, Scripting Languages

    4.3
    Rating, 4.3 out of 5 stars
    ·
    234 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Warehouse Fundamentals

    Skills you'll gain: Data Warehousing, Extract, Transform, Load, Star Schema, IBM DB2, Data Modeling, Snowflake Schema, PostgreSQL, Database Design, Data Architecture, Data Mart, Database Systems, Data Lakes, Data Validation, Data Integration, SQL, Data Cleansing, Query Languages, Data Quality

    4.5
    Rating, 4.5 out of 5 stars
    ·
    248 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Mining in Python

    Skills you'll gain: Data Mining, Data Processing, Unsupervised Learning, Data Science, Anomaly Detection, Data Manipulation, Machine Learning Methods, Python Programming

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Big Data Analysis to a Slide Presentation

    Skills you'll gain: Big Data, Google Cloud Platform, Google Sheets, Data Visualization, Spreadsheet Software, Analytics, Scripting, Data Presentation, Google Workspace, Cloud API, Data Compilation

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Meta

    Advanced Data Modeling

    Skills you'll gain: MySQL Workbench, Extract, Transform, Load, Data Modeling, Database Design, MySQL, Data Warehousing, Database Management, Databases, Relational Databases, Database Architecture and Administration, Advanced Analytics, Data Analysis, Data Visualization Software

    4.3
    Rating, 4.3 out of 5 stars
    ·
    104 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular understanding big data concepts courses

  • Data Science Methodology: IBM
  • Applications of Software Architecture for Big Data: University of Colorado Boulder
  • Data Analysis and Visualization Foundations: IBM
  • OOP concepts, Collections and Data Structures: Packt
  • Exploratory Data Analysis: Johns Hopkins University
  • Google Data Analysis with Python: Google
  • Data Analysis with Python: IBM
  • Python Data Analytics: Meta
  • Data Warehouse Fundamentals: IBM
  • Data Mining in Python: University of Michigan

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