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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


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    Stanford University

    Probabilistic Graphical Models 2: Inference

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

    4.6
    Rating, 4.6 out of 5 stars
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    488 reviews

    Advanced · Course · 1 - 3 Months

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    Coursera

    Automate, Analyze, and AI Feedback

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics

    Intermediate · Course · 1 - 4 Weeks

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    University of Illinois Urbana-Champaign

    Managerial Economics and Business Analysis

    Skills you'll gain: Supply And Demand, Statistical Inference, Business Analytics, Descriptive Statistics, Sampling (Statistics), Market Dynamics, Business Planning, Statistical Hypothesis Testing, Financial Systems, Bank Regulations, Financial Policy, Banking, International Finance, Data-Driven Decision-Making, Data Analysis, Data Presentation, Economics, Statistical Analysis, Peer Review, Business Economics

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    4.3K reviews

    Beginner · Specialization · 3 - 6 Months

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    Cleveland Clinic

    Computer Vision and Sequence Analysis in Machine Learning

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Healthcare 5.0, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Health Informatics, Data Structures

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google

    Foundations of Data Science

    Skills you'll gain: Data Storytelling, Data Ethics, Data-Driven Decision-Making, Analytics, Workflow Management, Business Analytics, Data Science, Project Design, Data Visualization Software, Project Management, Communication, Stakeholder Communications

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    The Data Scientist’s Toolbox

    Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
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    34K reviews

    Mixed · Course · 1 - 4 Weeks

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    Packt

    Machine Learning for Absolute Beginners - Level 1

    Skills you'll gain: Generative AI, Responsible AI, Large Language Modeling, Data Ethics, Machine Learning, Applied Machine Learning, Artificial Intelligence, Supervised Learning, Predictive Modeling, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Reinforcement Learning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Alberta

    Software Product Management

    Skills you'll gain: Agile Software Development, Project Risk Management, Requirements Analysis, Agile Methodology, Kanban Principles, Risk Management, Project Planning, Requirements Elicitation, Sprint Retrospectives, Requirements Management, Functional Requirement, Business Requirements, Sprint Planning, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Technical Review, Risk Management Framework, Product Management, Project Management

    4.7
    Rating, 4.7 out of 5 stars
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    12K reviews

    Beginner · Specialization · 3 - 6 Months

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    Duke University

    Introduction to Logic and Critical Thinking

    Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Analysis, Diagram Design, Probability, Sampling (Statistics), Persuasive Communication, Research, Sample Size Determination, Writing, Case Studies, Oral Expression, Correlation Analysis, Communication, Scientific Methods, Information Architecture, Business Communication, Interactive Learning

    4.6
    Rating, 4.6 out of 5 stars
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    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

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    Yale University

    Understanding Medical Research: Your Facebook Friend is Wrong

    Skills you'll gain: Research Design, Medical Science and Research, Statistical Methods, Descriptive Statistics, Data Literacy, Scientific Methods, Clinical Research, Research, Biostatistics, Sampling (Statistics), Medical Terminology

    4.9
    Rating, 4.9 out of 5 stars
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    2.2K reviews

    Beginner · Course · 1 - 3 Months

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    Universitat Politècnica de València

    Physics Fundamentals: Mechanics

    Skills you'll gain: Mechanics, Physics, Systems Of Measurement, Torque (Physics), Differential Equations, Calculus, Engineering Calculations, Engineering Analysis, Trigonometry, Applied Mathematics, Derivatives

    Intermediate · Course · 1 - 3 Months

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    Shanghai Jiao Tong University

    Learn Mandarin Chinese: Intermediate

    Skills you'll gain: Language Competency, Language Learning, Vocabulary, Oral Comprehension, Oral Expression, Culture, Grammar, Intercultural Competence, Business

    4.6
    Rating, 4.6 out of 5 stars
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    152 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Automate, Analyze, and AI Feedback: Coursera
  • Managerial Economics and Business Analysis: University of Illinois Urbana-Champaign
  • Computer Vision and Sequence Analysis in Machine Learning: Cleveland Clinic
  • Foundations of Data Science: Google
  • The Data Scientist’s Toolbox: Johns Hopkins University
  • Machine Learning for Absolute Beginners - Level 1: Packt
  • Software Product Management: University of Alberta
  • Introduction to Logic and Critical Thinking: Duke University
  • Understanding Medical Research: Your Facebook Friend is Wrong: Yale University

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