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  • Foundational Knowledge Needed To Work With Dark Data

Results for "foundational knowledge needed to work with dark data"


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Python Data Analysis

    Skills you'll gain: Data Manipulation, File I/O, Data Structures, Scripting, Data Import/Export, Data Analysis, Python Programming, Data Storage

    4.7
    Rating, 4.7 out of 5 stars
    ·
    893 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Visualization using Plotly

    Skills you'll gain: Plotly, Exploratory Data Analysis, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Interactive Data Visualization, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    50 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    U

    University of Illinois Urbana-Champaign

    Unordered Data Structures

    Skills you'll gain: Graph Theory, Data Structures, Unstructured Data, Network Routing, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    557 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    F

    Fundação Instituto de Administração

    Introdução ao Big Data

    Skills you'll gain: Big Data, Internet Of Things, Social Network Analysis, Text Mining, Apache Hadoop, Business Intelligence, Unstructured Data, Analytics, Real Time Data, Cloud Computing, Data Storage, Data Science, Marketing Analytics, Fraud detection

    4.6
    Rating, 4.6 out of 5 stars
    ·
    322 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - 日本語版

    Skills you'll gain: Data Sharing, Extract, Transform, Load, Cloud Storage, Google Cloud Platform, Data Migration, Data Pipelines, Big Data, Data Infrastructure, Data Warehousing, Data Storage, Data Processing, Data Management, Metadata Management, Automation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    California Institute of the Arts

    Introduction to Imagemaking

    Skills you'll gain: Photo Editing, Graphic and Visual Design, Layout Design, Design Research, Visual Design, Adobe InDesign, Design, Design Elements And Principles, Storytelling, Digital Publishing, Aesthetics, Color Theory, Creativity, Peer Review

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Healthcare Data Models

    Skills you'll gain: Data Integration, Data Validation, Data Quality, Data Cleansing, Data Modeling, Health Informatics, Data Transformation, Data Warehousing, Star Schema, Health Information Management, Data Analysis, Analytics, Electronic Medical Record, Database Systems, Relational Databases

    4.6
    Rating, 4.6 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of California, Davis

    SQL für Data Science

    Skills you'll gain: Data Governance, SQL, Data Quality, Data Manipulation, Data Transformation, Query Languages, Data Modeling, Database Systems, Relational Databases, Data Processing, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Python Data Representations

    Skills you'll gain: File I/O, Development Environment, Data Structures, Data Storage, Scripting, Python Programming, Program Development, Scripting Languages, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Pandas for Data Science

    Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Quality, NumPy, File I/O, Query Languages, Python Programming, Data Import/Export, Data Analysis, Exploratory Data Analysis, Debugging

    4.2
    Rating, 4.2 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Amazon Web Services

    Building Data Lakes on AWS

    Skills you'll gain: Data Lakes, Data Visualization, Data Architecture, Amazon Web Services, Data Engineering, Data Infrastructure, Data Warehousing, Data Processing, Amazon S3, Query Languages, AWS Identity and Access Management (IAM), Data Management, Data Transformation, Data Governance, Data Import/Export, Data Storage, Data Science, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    304 reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular foundational knowledge needed to work with dark data courses

  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • Python Data Analysis: Rice University
  • Data Visualization using Plotly: Coursera
  • Unordered Data Structures: University of Illinois Urbana-Champaign
  • Introdução ao Big Data : Fundação Instituto de Administração
  • Introduction to Data Engineering on Google Cloud - 日本語版: Google Cloud
  • Introduction to Imagemaking: California Institute of the Arts
  • Healthcare Data Models: University of California, Davis
  • SQL für Data Science: University of California, Davis
  • Python Data Representations: Rice University

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