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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


  • U

    University of Michigan

    AI for Energy and Biomedical Applications

    Skills you'll gain: Precision Medicine, Biomedical Engineering, Energy and Utilities, Image Analysis, Medical Imaging, Artificial Intelligence, Electric Power Systems, Bioinformatics, Drug Development, Sustainable Technologies, Generative AI, Patient-centered Care, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Anomaly Detection, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    75 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pearson

    Certified Associate in Project Management (CAPM)® Exam

    Skills you'll gain: Requirements Elicitation, Cost Estimation, Agile Project Management, Business Analysis, Stakeholder Management, Agile Software Development, Project Management, Project Risk Management, Project Estimation, Project Scoping, Quality Management, Work Breakdown Structure, Project Management Life Cycle, Cost Management, Project Planning, Project Management Institute (PMI) Methodology, Risk Management, Business Analysis Tools, Personalized Service, Learning Styles

    4.6
    Rating, 4.6 out of 5 stars
    ·
    58 reviews

    Beginner · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Advanced Excel Analytics, Automation & Data Analysis

    Skills you'll gain: Excel Macros, Data Validation, Scatter Plots, Plot (Graphics), Pivot Tables And Charts, Microsoft Excel, Data Visualization, Regression Analysis, Excel Formulas, Statistical Visualization, Histogram, Data Analysis, Data Integrity, Statistical Modeling, Descriptive Statistics, Spreadsheet Software, Analytics, Financial Data, Financial Analysis, Automation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    31 reviews

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Colorado Boulder

    Discrete-Time Markov Chains and Monte Carlo Methods

    Skills you'll gain: Artificial Intelligence, Machine Learning Methods, Generative AI, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of New Mexico

    Web Application Development: Basic Concepts

    Skills you'll gain: Version Control, Web Applications, Full-Stack Web Development, Git (Version Control System), Middleware, Web Development, Web Development Tools, Application Development, Software Architecture, User Interface (UI), Agile Software Development, Application Frameworks, Ajax, Agile Methodology, User Interface (UI) Design, Model View Controller, Databases, Database Management, Data Modeling, Ruby on Rails

    4.3
    Rating, 4.3 out of 5 stars
    ·
    185 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of California, Davis

    Building Basic English Skills A1/A2

    Skills you'll gain: Oral Comprehension, Vocabulary, Grammar, English Language, Language Competency, Literacy, Language Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    80 reviews

    Beginner · Specialization · 3 - 6 Months

  • K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI beginner part 1 Linear Algebra

    Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Quantitative Research Methods: Tools for Data Analysis

    Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Statistical Reporting, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Descriptive Analytics, Research Methodologies, Statistical Methods, R (Software), Research, R Programming, Data Collection, Research Reports, Correlation Analysis, Data Ethics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Statistical Learning for Data Science

    Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Data Science, Decision Tree Learning, Statistical Methods, Classification And Regression Tree (CART), Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Machine Learning Methods, Classification Algorithms, Supervised Learning, R Programming, Statistical Inference, Machine Learning Algorithms, Dimensionality Reduction

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    21 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Classification Trees in Python, From Start To Finish

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Evaluation, Model Training

    4.6
    Rating, 4.6 out of 5 stars
    ·
    233 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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, Machine Learning Methods, Model Training, Predictive Modeling, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis, Performance Measurement

    4.3
    Rating, 4.3 out of 5 stars
    ·
    28 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Semantic Segmentation with Amazon Sagemaker

    Skills you'll gain: AWS SageMaker, Amazon Web Services, Model Deployment, Image Analysis, Applied Machine Learning, Model Training, Machine Learning Algorithms, Data Preprocessing, Computer Vision, Deep Learning, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    95 reviews

    Advanced · Guided Project · Less Than 2 Hours

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

  • AI for Energy and Biomedical Applications: University of Michigan
  • Certified Associate in Project Management (CAPM)® Exam: Pearson
  • Advanced Excel Analytics, Automation & Data Analysis: EDUCBA
  • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
  • Web Application Development: Basic Concepts: University of New Mexico
  • Building Basic English Skills A1/A2: University of California, Davis
  • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
  • Quantitative Research Methods: Tools for Data Analysis: Coursera
  • Statistical Learning for Data Science: University of Colorado Boulder
  • Classification Trees in Python, From Start To Finish: Coursera

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