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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
    G

    Google Cloud

    Build Data Lakes and Data Warehouses on Google Cloud

    Skills you'll gain: Data Lakes, Data Warehousing, Data Architecture, Data Governance, Data Infrastructure, Google Cloud Platform, Metadata Management, Cloud Storage, Data Storage, Data Management, Data Integration, Data Storage Technologies, Big Data, Advanced Analytics, Operational Databases, Data Security

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Database Engineer

    Skills you'll gain: MySQL, Database Management, Database Administration, Data Warehousing, Linux Commands, Data Integrity, Unit Testing, Algorithms, Software Versioning, Command-Line Interface, Software Visualization, Linux, Pseudocode, Query Languages, Collaborative Software, Django (Web Framework), Database Architecture and Administration, Programming Principles, Computational Thinking, Test Driven Development (TDD)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.6K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Science Foundations: Statistical Inference

    Skills you'll gain: Probability, Statistical Hypothesis Testing, Statistical Inference, Probability & Statistics, Probability Distribution, Statistical Methods, Statistics, Bayesian Statistics, Data Literacy, Sampling (Statistics), Applied Mathematics, Data Ethics, Data Analysis, Statistical Analysis, Quantitative Research, Data Science, Theoretical Computer Science, Sample Size Determination, Artificial Intelligence

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    348 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of London

    Introduction to Who Wrote Shakespeare

    Skills you'll gain: Research, Psychology, Investigation, Creativity, World History, Writing, Performing Arts

    4.7
    Rating, 4.7 out of 5 stars
    ·
    260 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Preparation and Management

    Skills you'll gain: Extract, Transform, Load, Data Cleansing, Power BI, Data Transformation, Data Manipulation, Data Management, Data Quality, Data Preprocessing, Data Validation, Data Integration, Data Modeling, Data Import/Export, Data Storage

    5
    Rating, 5 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Data Structures and Performance

    Skills you'll gain: Unit Testing, Data Structures, Java, JUnit, Performance Tuning, Debugging, Algorithms, Object Oriented Programming (OOP), Theoretical Computer Science, Unstructured Data

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Supervised Learning, Data Validation, Data Cleansing, Data Ethics, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    98 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Data Preparation and Analysis

    Skills you'll gain: Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Cleansing, Analytics, Machine Learning, Data Preprocessing, Regression Analysis, Data Mining, Python Programming, Scikit Learn (Machine Learning Library), Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Logistic Regression

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Evaluate and Reproduce Data Findings Fast

    Skills you'll gain: Sample Size Determination, Data Strategy, Analytical Skills, Data-Driven Decision-Making, Data Analysis, Analytics, Jupyter, Data Science, Statistical Analysis, Data Collection, Data Mining, Data Management, MLOps (Machine Learning Operations), Research and Design, Version Control, Software Documentation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Leeds

    Programming for Data Science

    Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Software Installation, Data Structures, Data Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

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

  • Build Data Lakes and Data Warehouses on Google Cloud: Google Cloud
  • Meta Database Engineer: Meta
  • Data Science Foundations: Statistical Inference: University of Colorado Boulder
  • Introduction to Who Wrote Shakespeare: University of London
  • Data Preparation and Management: Microsoft
  • Data Structures and Performance: University of California San Diego
  • IBM Introduction to Machine Learning: IBM
  • Data for Machine Learning: Alberta Machine Intelligence Institute
  • Data Preparation and Analysis: Illinois Tech
  • Evaluate and Reproduce Data Findings Fast: Coursera

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