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  • Data Anonymization Techniques

Results for "data anonymization techniques"


  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    M

    Maven Analytics

    Microsoft Copilot for Excel: AI-Powered Data Analysis

    Skills you'll gain: Microsoft Copilot, Microsoft Excel, Pivot Tables And Charts, Excel Formulas, People Analytics, Data Manipulation, Data Analysis, Microsoft 365, Human Resources Information System (HRIS), ChatGPT, Data Visualization, Artificial Intelligence, Generative AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 2

    Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnQuest

    No-Code Machine Learning and Data Science for Everyone

    Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Data Literacy, No-Code Development, Business Analytics, Data Science, Applied Machine Learning, Data Capture, Data Modeling, Data Processing, Data Transformation, Data Ethics, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization

    Beginner · Specialization · 1 - 3 Months

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

    EDUCBA

    Spark and Python for Big Data with PySpark

    Skills you'll gain: PySpark, Apache Spark, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Customer Analysis, Apache Hadoop, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Data Processing, Advanced Analytics, Big Data, Apache Maven, Statistical Machine Learning, Unsupervised Learning, SQL, Apache, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    38 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Analysis, Data Storage Technologies

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning with Small Data Part 1

    Skills you'll gain: Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Unsupervised Learning, Tensorflow, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Artificial Intelligence, Computer Vision

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Data Lineage & Ethical Frameworks for Responsible AI

    Skills you'll gain: Responsible AI, Data Governance, Data Ethics, Data Pipelines, Data Architecture, Data Management, Governance, Data Integrity, Artificial Intelligence, Metadata Management, Automation, Generative AI, Data Security

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    PySide2 Project - Data Fetching Application

    Skills you'll gain: Application Development, Event-Driven Programming, Application Design, User Interface (UI), UI Components, Program Development, Data Import/Export, Development Environment, Data Integration, File Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Linux and Bash for Data Engineering

    Skills you'll gain: Bash (Scripting Language), Linux Commands, Shell Script, Linux, Linux Administration, Unix Shell, File Management, Unix, Unix Commands, File Systems, Scripting, Command-Line Interface, Remote Access Systems, Data Manipulation, Data Processing, Data Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    130 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Troubleshooting Data Models in Looker

    Skills you'll gain: Looker (Software), Data Modeling, Exploratory Data Analysis, Data Validation, Data Maintenance, Problem Management, Data Analysis, Data Visualization, Data Analysis Software, Google Cloud Platform

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Expressway to Data Science: R Programming and Tidyverse

    Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, Data Import/Export, Data Visualization, Statistical Visualization, Data Manipulation, Data Visualization Software, Data Analysis, Data Science, Data Storytelling, Statistical Analysis, Relational Databases, Data Cleansing, Data Transformation, Statistical Programming, Data Integration, Data Wrangling, Communication

    4.1
    Rating, 4.1 out of 5 stars
    ·
    54 reviews

    Beginner · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular data anonymization techniques courses

  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Microsoft Copilot for Excel: AI-Powered Data Analysis: Maven Analytics
  • Data Science Fundamentals Part 1: Unit 2: Pearson
  • No-Code Machine Learning and Data Science for Everyone: LearnQuest
  • Spark and Python for Big Data with PySpark: EDUCBA
  • Data Science Fundamentals Part 1: Unit 3: Pearson
  • Machine Learning with Small Data Part 1: Northeastern University
  • Data Lineage & Ethical Frameworks for Responsible AI: Fractal Analytics
  • PySide2 Project - Data Fetching Application: EDUCBA
  • Linux and Bash for Data Engineering: Duke University

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