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  • Applied Statistics

Applied Statistics Courses

Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.


Popular Applied Statistics Courses and Certifications


  • Status: Free Trial
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    I

    IBM

    IBM Product Manager

    Skills you'll gain: AI Product Strategy, User Story, Usability Testing, New Product Development, Product Management, Product Lifecycle Management, Product Development, Innovation, Agile Software Development, Scrum (Software Development), Product Roadmaps, Agile Methodology, Kanban Principles, Responsible AI, Generative AI, Backlogs, ChatGPT, Test Planning, Registration, Leadership

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.4K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Applied Machine Learning, Advanced Mathematics, Data Transformation, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Virginia

    Digital Product Management

    Skills you'll gain: Usability Testing, Agile Product Development, New Product Development, Continuous Delivery, Agile Software Development, User Story, Product Management, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Team Leadership, DevOps, Innovation, Analytics, Product Improvement, Business Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    K

    Kennesaw State University

    Six Sigma Tools for Analyze

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Process Analysis, Probability Distribution, Probability & Statistics, Process Improvement, Quality Improvement, Process Mapping, Systems Of Measurement, Data Analysis, Statistical Methods, Probability, Statistics, Risk Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    D

    Duke University

    Behavioral Finance

    Skills you'll gain: Behavioral Economics, Decision Making, Financial Planning, Finance, Consumer Behaviour, Financial Analysis, Economics, Psychology, Probability & Statistics, Risk Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    4.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    V

    Vanderbilt University

    Data Management for Clinical Research

    Skills you'll gain: Clinical Data Management, Electronic Data Capture (EDC), Data Management, Data Collection, Case Report Forms, Data Sharing, Health Informatics, Data Strategy, Data Quality, Good Clinical Practices (GCP), Sampling (Statistics), Data Integrity, Data Validation, Regulatory Compliance

    4.7
    Rating, 4.7 out of 5 stars
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    1.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    U

    University at Buffalo

    Computer Vision Basics

    Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Color Theory, Digital Signal Processing, Applied Mathematics, Artificial Intelligence, Computer Programming, Matlab, Augmented Reality, Algorithms, Calculus, Probability & Statistics

    4.2
    Rating, 4.2 out of 5 stars
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    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Classification Algorithms, Statistical Inference, Probability, Sampling (Statistics), Statistical Methods, Algorithms, Regression Analysis, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Preview
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    U

    Universidad Nacional Autónoma de México

    Álgebra básica

    Skills you'll gain: Algebra, General Mathematics, Arithmetic, Applied Mathematics, Geometry

    4.8
    Rating, 4.8 out of 5 stars
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    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
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    P

    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Probability Foundations for Data Science and AI

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Analysis, Artificial Intelligence, Data Collection

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    279 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Software Development Lifecycle

    Skills you'll gain: User Story, Agile Software Development, Design Thinking, Software Development Methodologies, Software Design Patterns, Agile Methodology, Agile Project Management, Process Mapping, Engineering Software, Software Engineering, Software Design, Kanban Principles, Software Quality Assurance, Software Development Life Cycle, Software Architecture, Scrum (Software Development), Software Quality (SQA/SQC), User Experience Design, Requirements Analysis, Secure Coding

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.8K reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular applied statistics courses

  • IBM Product Manager: IBM
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Digital Product Management: University of Virginia
  • Six Sigma Tools for Analyze: Kennesaw State University
  • Behavioral Finance: Duke University
  • Data Management for Clinical Research: Vanderbilt University
  • Computer Vision Basics: University at Buffalo
  • Probabilistic Graphical Models: Stanford University
  • Álgebra básica: Universidad Nacional Autónoma de México
  • AI Engineering Masterclass: From Zero to AI Hero: Packt

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