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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
    Free Trial
    U

    University of Minnesota

    Lean Software Development

    Skills you'll gain: Design Thinking, Process Mapping, Kanban Principles, User Experience Design, Lean Methodologies, Lean Manufacturing, Agile Software Development, Product Development, Lean Six Sigma, Process Improvement, Software Development, Software Development Methodologies, Continuous Improvement Process, Innovation, Prototyping

    4.6
    Rating, 4.6 out of 5 stars
    ·
    431 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Splunk Inc.

    Splunk Search Expert

    Skills you'll gain: Splunk, Correlation Analysis, Data Transformation, Data Manipulation, Data Visualization Software, Performance Tuning, Dashboard, Data Analysis Expressions (DAX), Statistical Analysis, Data Processing, Security Information and Event Management (SIEM), Data Analysis, Data Synthesis, Data Modeling, Ad Hoc Reporting, Time Series Analysis and Forecasting, Business Intelligence, Big Data, Data Science, Business Analytics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    272 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Surveillance Systems: Analysis, Dissemination, and Special Systems

    Skills you'll gain: Epidemiology, Trend Analysis, Chronic Diseases, Public Health, Public Health and Disease Prevention, Health Policy, Data Analysis, Biostatistics, System Monitoring, Health Informatics, Technical Communication, Media and Communications, Infectious Diseases, Law, Regulation, and Compliance, Data Ethics, Data Collection, Risk Analysis, Information Privacy

    4.8
    Rating, 4.8 out of 5 stars
    ·
    385 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
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
    ·
    176 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    25 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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: New
    New
    Status: Preview
    Preview
    U

    Universidad Nacional Autónoma de México

    Protocolo de investigación médica: diseño y desarrollo

    Skills you'll gain: Statistical Analysis, Healthcare Ethics, Clinical Research Ethics, Statistical Methods, Institutional Review Board (IRB), Clinical Research, Probability & Statistics, Data Analysis, Statistics, Scientific Methods, Descriptive Statistics, Science and Research, Statistical Hypothesis Testing, Informed Consent, Technical Writing, Statistical Inference, Sample Size Determination, Responsible AI, Artificial Intelligence

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Infosec

    Advanced Python Scripting for Cybersecurity

    Skills you'll gain: Network Analysis, Network Security, Cyber Operations, Intrusion Detection and Prevention, MITRE ATT&CK Framework, Cybersecurity, Threat Detection, Network Monitoring, Penetration Testing, Anomaly Detection, Brute-force attacks, Scripting, Authentications, Vulnerability Assessments, Python Programming, Data Access, System Monitoring, Systems Analysis, Automation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    76 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Adobe

    Multichannel Content Marketing

    Skills you'll gain: Cross-Channel Marketing, Content Marketing, Marketing Analytics, Data Ethics, Marketing Effectiveness, Data-Driven Decision-Making, Marketing Strategies, Personalized Service, Marketing Automation, Content Strategy, Adobe Express, AI Personalization, Advertising Campaigns, Driving engagement, Social Media, Emerging Technologies, Market Research, Trend Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    63 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Modeling Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Model Evaluation

    Intermediate · Course · 1 - 3 Months

Searches related to applied statistics

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

  • Lean Software Development: University of Minnesota
  • Splunk Search Expert: Splunk Inc.
  • Surveillance Systems: Analysis, Dissemination, and Special Systems: Johns Hopkins University
  • Ethical Issues in Data Science: University of Colorado Boulder
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • AI Machine Learning with R & Python Projects: EDUCBA
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Microsoft Azure for AI and Machine Learning: Microsoft
  • Protocolo de investigación médica: diseño y desarrollo: Universidad Nacional Autónoma de México
  • Advanced Python Scripting for Cybersecurity: Infosec

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