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Statistics Courses

Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.


Popular Statistics Courses and Certifications


  • Status: Preview
    Preview
    U

    University of Leeds

    Programming for Data Science

    Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Software Installation, Data Structures, Data Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Ethical Issues in Data Science

    Skills you'll gain: Data Ethics, Healthcare Ethics, Ethical Standards And Conduct, Responsible AI, Data Security, Data Science, Medical Privacy, Machine Learning Algorithms, Algorithms, Information Privacy, Artificial Intelligence, Diversity Awareness, Case Studies

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    48 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI)

    Skills you'll gain: Patient Safety, Performance Measurement, Data Analysis, Value-Based Care, Continuous Quality Improvement (CQI), Data Analysis Software, Health Policy, Data Quality, Descriptive Statistics, Data Integration, Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
    ·
    96 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Advanced AI and Machine Learning Techniques and Capstone

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Federated Learning, Scalability, Machine Learning, Distributed Computing, Model Evaluation, MLOps (Machine Learning Operations), Microsoft Azure, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    30 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Q

    Queen Mary University of London

    Analysis and Interpretation of Data

    Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Correlation Analysis, Quantitative Research, Regression Analysis, Marketing Analytics, Data Quality, Probability & Statistics, Statistical Methods, Digital Marketing, Exploratory Data Analysis, Logistic Regression, Market Research, Data Preprocessing, Return On Investment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    76 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Azure DevOps, Artificial Intelligence and Machine Learning (AI/ML), Cloud Deployment, Data Pipelines, Data Preprocessing, CI/CD, Continuous Monitoring, Debugging, Identity and Access Management, Version Control, Data Storage, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Mining Methods

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Machine Learning Methods, Supervised Learning, Classification Algorithms, Decision Tree Learning, Big Data, Data Science, Machine Learning Algorithms, Exploratory Data Analysis, Data Analysis, Analysis, Statistical Analysis, Machine Learning, Algorithms, Artificial Neural Networks, Model Evaluation

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    Illinois Tech

    Digital Marketing

    Skills you'll gain: Pay Per Click Advertising, Digital Marketing, Web Analytics, Email Marketing, Paid media, Digital Advertising, Google Ads, Social Media Campaigns, Marketing Strategies, Online Advertising, Social Media Marketing, Google Analytics, Web Analytics and SEO, Web Design and Development, Marketing, Marketing Analytics, Search Engine Optimization, Social Media, Campaign Management, Search Engine Marketing

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    57 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Peking University

    社会调查与研究方法 (上)Methodologies in Social Research (Part I)

    Skills you'll gain: Research Methodologies, Science and Research, Social Sciences, Research, Data Collection, Scientific Methods, Research Design, Sociology, Proposal Development, Survey Creation, Sample Size Determination, Quality Assessment, Ethical Standards And Conduct, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    52 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Sapienza University of Rome

    Paesaggi di Roma Antica. Archeologia e storia del Palatino.

    Skills you'll gain: Ancient History, Scientific Methods, Research, Research Methodologies, Investigation, Spatial Analysis, Art History, Geographic Information Systems, World History, Cultural Responsiveness, Data Integration, Culture, Information Systems

    4.8
    Rating, 4.8 out of 5 stars
    ·
    146 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Practicing for the SAS Programming Certification Exam

    Skills you'll gain: SAS (Software), Data Analysis, Requirements Analysis, Exploratory Data Analysis, Statistical Programming, Data Manipulation, Data Cleansing, Data Transformation, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
    ·
    95 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to statistics

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statistics and applied data analysis
1…575859…120

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

  • Programming for Data Science: University of Leeds
  • Ethical Issues in Data Science: University of Colorado Boulder
  • Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI): Johns Hopkins University
  • Advanced AI and Machine Learning Techniques and Capstone: Microsoft
  • Analysis and Interpretation of Data: Queen Mary University of London
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • Microsoft Azure for AI and Machine Learning: Microsoft
  • Data Mining Methods: University of Colorado Boulder
  • Digital Marketing: Illinois Tech
  • 社会调查与研究方法 (上)Methodologies in Social Research (Part I): Peking University

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