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  • Statistical Inference Methods

Results for "statistical inference methods"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Machine Learning, Supervised Learning, Data Transformation, Unsupervised Learning, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Avoiding Bias

    Skills you'll gain: Decision Making, Independent Thinking, Open Mindset, Conflict Management, Accountability, Diversity Awareness, Critical Thinking, Advocacy, Leadership, Self-Awareness

    4.7
    Rating, 4.7 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Visualizing Data in the Tidyverse

    Skills you'll gain: Ggplot2, Plot (Graphics), Data Visualization Software, Exploratory Data Analysis, Data Presentation, Data Storytelling, Scatter Plots, Tidyverse (R Package), R Programming, Box Plots, Histogram, Animations, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
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    20 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Cyber Security: Data Security and Information Privacy

    Skills you'll gain: Information Privacy, Personally Identifiable Information, Data Security, Threat Modeling, Vulnerability Assessments, Cybersecurity, Vulnerability, Data Ethics, General Data Protection Regulation (GDPR), Cyber Risk, Data Governance, Data Integrity, Data Encryption Standard, Security Management, Security Software, Compliance Management, Risk Management, Data Access, Security Strategy, NIST 800-53

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    AI Principles with Edge Computing

    Skills you'll gain: Artificial Intelligence, Internet Of Things, Unsupervised Learning, Python Programming, Deep Learning, Machine Learning, Convolutional Neural Networks, Image Analysis, Artificial Neural Networks, Reinforcement Learning, Data Preprocessing, Natural Language Processing, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency

    Skills you'll gain: Responsible AI, Machine Learning, Artificial Intelligence, Interoperability, Model Evaluation, Data Ethics, Model Deployment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    How Can We Measure and Study Human Error?

    Skills you'll gain: Usability, Usability Testing, User Experience Design, Human Computer Interaction, Human Centered Design, User Interface (UI), User Research, Data Collection, Research Design, Research Methodologies, Qualitative Research, Experimentation, Case Studies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Practical Software Testing

    Skills you'll gain: White-Box Testing, Test Planning, Test Case, Software Testing, Debugging, Functional Testing, Software Documentation, Software Quality Assurance, Development Testing, Test Data, Issue Tracking, Software Technical Review, Quality Assurance, Development Environment, Technical Communication

    4.3
    Rating, 4.3 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Geneva

    Data-Oriented C++ in Scientific Programming

    Skills you'll gain: Data-oriented programming, Operating Systems, Simulation and Simulation Software

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Data Scientists

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Data Quality, Data Strategy, AI Enablement, Applied Machine Learning, Exploratory Data Analysis, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular statistical inference methods courses

  • AWS: Machine Learning & MLOps Foundations: Whizlabs
  • Avoiding Bias : Arizona State University
  • Visualizing Data in the Tidyverse: Johns Hopkins University
  • Cyber Security: Data Security and Information Privacy: Macquarie University
  • AI Principles with Edge Computing: L&T EduTech
  • AI & Deep Learning Concepts and Applications: Simplilearn
  • Responsible AI for Developers: Interpretability & Transparency: Google Cloud
  • How Can We Measure and Study Human Error?: Arizona State University
  • Practical Software Testing: Board Infinity
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh

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