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Data Security Courses

Data security courses can help you learn encryption techniques, risk assessment strategies, incident response planning, and compliance regulations. You can build skills in vulnerability management, threat detection, and secure coding practices. Many courses introduce tools like firewalls, intrusion detection systems, and data loss prevention software, demonstrating how these skills are applied to protect sensitive information and maintain system integrity.


More to explore:

Popular Data Security Courses and Certifications


  • Status: Free Trial
    Free Trial
    G

    Google

    Google 데이터 애널리틱스 수료증 이수 과정

    Skills you'll gain: Data Storytelling, Data Cleansing, Rmarkdown, Data Presentation, Data Visualization, Analytical Skills, Tableau Software, Dashboard, Stakeholder Communications, Data Literacy, Data Integrity, Case Studies, Data Analysis, Spreadsheet Software, Data Ethics, Ggplot2, Data Visualization Software, Data-Driven Decision-Making, Data Validation, Database Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    46 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    845 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    데이터 과학이란 무엇인가?

    Skills you'll gain: Data Storytelling, Data Mining, Data Science, Data-Driven Decision-Making, Digital Transformation, Big Data, Data Analysis, Business Analytics, Regression Analysis, Analytics, Apache Hadoop, Health Informatics, Deep Learning

    4.5
    Rating, 4.5 out of 5 stars
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    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Unsupervised Algorithms in Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Science, Python Programming, Statistical Methods, Exploratory Data Analysis, Linear Algebra

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
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    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Generative AI: Governance, Policy, and Emerging Regulation

    Skills you'll gain: Responsible AI, Governance, Data Governance, Data Management, Compliance Management, Generative AI, Artificial Intelligence, Stakeholder Management, Risk Analysis, Cost Benefit Analysis, Regulation and Legal Compliance, Organizational Strategy, Leadership and Management, Risk Management, Accountability

    4.7
    Rating, 4.7 out of 5 stars
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    76 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
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    375 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Embeddings

    4.5
    Rating, 4.5 out of 5 stars
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    40 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Status: Preview
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    U

    University of Cambridge

    Ethical AI: AI essentials for everyone

    Skills you'll gain: AI Enablement, AI Security

    4.9
    Rating, 4.9 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    The STATA OMNIBUS: Regression and Modelling with STATA

    Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Data Visualization, Data Manipulation, Logistic Regression, Predictive Modeling, Statistical Hypothesis Testing, Model Evaluation

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    195 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Persona Development, Information Architecture, Text Mining, Descriptive Statistics, Algorithms, Computer Programming, Java Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    658 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Google 데이터 애널리틱스 수료증 이수 과정: Google
  • Prediction and Control with Function Approximation: University of Alberta
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • 데이터 과학이란 무엇인가?: IBM
  • Unsupervised Algorithms in Machine Learning: University of Colorado Boulder
  • Generative AI: Governance, Policy, and Emerging Regulation: University of Michigan
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
  • Ethical AI: AI essentials for everyone: University of Cambridge
  • The STATA OMNIBUS: Regression and Modelling with STATA: Packt

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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