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  • Foundational Knowledge Needed To Work With Dark Data

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


  • C

    Coursera

    Semantic Segmentation with Amazon Sagemaker

    Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Amazon Web Services, Model Deployment, Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Machine Learning Algorithms, Data Preprocessing, Convolutional Neural Networks, Computer Vision, Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    94 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    BiteSize Python for Absolute Beginners: Data Structures

    Skills you'll gain: Data Structures, Data Dictionary, Data Manipulation, Data Access, Data Processing, Python Programming

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Apply Object-Oriented Programming to Build Organograms

    Skills you'll gain: Object Oriented Programming (OOP), C++ (Programming Language), Object Oriented Design, Application Design, Solution Design, Software Visualization, Program Development, Verification And Validation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algebra: Elementary to Advanced - Equations & Inequalities

    Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    638 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Practical Engineering Data Mining: Techniques and Uses

    Skills you'll gain: Data Mining, Exploratory Data Analysis, Model Evaluation, Dimensionality Reduction, Data Preprocessing, Data Cleansing, Data Transformation, Data-Driven Decision-Making, Predictive Analytics, Forecasting, Big Data, Data Analysis, Applied Machine Learning, Statistical Analysis, Classification Algorithms, Data Visualization Software, Unsupervised Learning, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning and Data Analytics Part 1

    Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Splunk Query Language and Data Analysis

    Skills you'll gain: Splunk, Dashboard, Data Transformation, Data Manipulation, Data Analysis, Statistical Analysis, Query Languages, Data Visualization Software, Ad Hoc Reporting, Real Time Data, Data Modeling, Continuous Monitoring, Taxonomy

    4.9
    Rating, 4.9 out of 5 stars
    ·
    139 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Data Warehousing: Schema, ETL, Optimal Performance

    Skills you'll gain: Data Warehousing, Extract, Transform, Load, Snowflake Schema, Star Schema, Business Intelligence, Data Modeling, Database Design, Data Management, Data Integration, Performance Tuning, Databases, Data Transformation, Scalability

    4.1
    Rating, 4.1 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Simplilearn

    Programming with C#

    Skills you'll gain: C# (Programming Language), Restful API, Unity Engine, Object Oriented Programming (OOP), .NET Framework, C++ (Programming Language), Video Game Development, ASP.NET, Object-Relational Mapping, Software Engineering, Web Services, Application Development, Software Design Patterns, Database Management, Programming Principles, C (Programming Language)

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Recommender Systems with Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Supervised Learning, Machine Learning, Pandas (Python Package), Machine Learning Algorithms, Unsupervised Learning, Feature Engineering, Taxonomy, Data Analysis, Artificial Intelligence, Deep Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Arizona

    Introduction to the Orbital Perspective

    Skills you'll gain: Teamwork, Empathy, Visionary, Cultural Diversity, Collaboration, Critical Thinking and Problem Solving, Environmental Issue, Systems Thinking, Strategic Planning, Sustainable Development, International Relations, Innovation, Social Impact

    4.4
    Rating, 4.4 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Data Analytics Foundations for Accountancy II

    Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Classification Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Decision Tree Learning, Data Mining, Exploratory Data Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 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

  • Semantic Segmentation with Amazon Sagemaker: Coursera
  • BiteSize Python for Absolute Beginners: Data Structures: University of Colorado Boulder
  • Apply Object-Oriented Programming to Build Organograms: EDUCBA
  • Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University
  • Practical Engineering Data Mining: Techniques and Uses: Northeastern University
  • Machine Learning and Data Analytics Part 1: Northeastern University
  • Splunk Query Language and Data Analysis: EDUCBA
  • Data Warehousing: Schema, ETL, Optimal Performance: Coursera
  • Programming with C#: Simplilearn
  • Recommender Systems with Machine Learning: Packt

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