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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


  • 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, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra

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

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Virginia

    Agile Development

    Skills you'll gain: Usability Testing, Agile Product Development, User Story, Continuous Delivery, Persona Development, Agile Software Development, Sprint Planning, Peer Review, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Customer Analysis, Analytics, Product Development, Business Analytics, Persona (User Experience)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.9K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Optimize AI: Fine-Tune & Maximize Accuracy

    Skills you'll gain: Vision Transformer (ViT), Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Keras (Neural Network Library), Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Network Model, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Matlab, Mathematical Modeling, Computational Thinking, Recurrent Neural Networks (RNNs), Applied Mathematics, Physiology, Biology, Linear Algebra, Differential Equations, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • 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
    ·
    4.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Business Writing

    Skills you'll gain: Business Writing, Business Communication, Writing, Organizational Skills, Concision, Writing and Editing, Proofreading, Grammar, Communication, Editing, Persuasive Communication, Communication Strategies

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

    Beginner · Course · 1 - 4 Weeks

  • K

    Kennesaw State University

    Six Sigma Green Belt

    Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Team Building, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Statistical Methods, Process Analysis, Lean Manufacturing, Statistical Analysis, Process Mapping, Data Collection

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Fine-Tuning and Evaluating Vision AI Models

    Skills you'll gain: Transfer Learning, Image Analysis, Computer Vision, Model Evaluation, Convolutional Neural Networks, Performance Metric, Quality Assessment, Performance Tuning, Performance Measurement, Data Quality, Applied Machine Learning, Data Validation, Performance Analysis, Predictive Modeling, Statistical Machine Learning, Statistical Modeling

    Intermediate · Course · 3 - 6 Months

  • P

    Packt

    Python Programming and Data Science Foundations for AI

    Skills you'll gain: Object Oriented Programming (OOP), Data Visualization, Seaborn, Flask (Web Framework), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Pandas (Python Package), Probability & Statistics, Data Manipulation, Data Structures, UI Components

    Intermediate · Course · 1 - 3 Months

  • S

    Stanford University

    Probabilistic Graphical Models

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • U

    University of California, Irvine

    Initiating and Planning Projects

    Skills you'll gain: Project Planning, Project Management, Planning, Work Breakdown Structure, Interpersonal Communications

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24K reviews

    Mixed · Course · 1 - 3 Months

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

  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Agile Development: University of Virginia
  • Optimize AI: Fine-Tune & Maximize Accuracy: Coursera
  • Computational Neuroscience: University of Washington
  • Behavioral Finance: Duke University
  • Business Writing: University of Colorado Boulder
  • Six Sigma Green Belt: Kennesaw State University
  • Fine-Tuning and Evaluating Vision AI Models: Coursera
  • Python Programming and Data Science Foundations for AI: Packt

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