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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


  • J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Applied Machine Learning, Markov Model

    4.8
    Rating, 4.8 out of 5 stars
    ·
    78 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Python for Real-World Data Analysis

    Skills you'll gain: Seaborn, Data Storytelling, Data Visualization, Data Presentation, Data Integration, A/B Testing, Data Import/Export, Statistical Hypothesis Testing, Text Mining, Data-Driven Decision-Making, Git (Version Control System), Matplotlib, Pandas (Python Package), Version Control, GitHub, Social Media Analytics, Statistical Analysis, Exploratory Data Analysis, Jupyter, NumPy

    4.3
    Rating, 4.3 out of 5 stars
    ·
    90 reviews

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Pennsylvania

    Wharton Business Foundations Capstone

    Skills you'll gain: Peer Review, Project Design, Marketing Strategies, Business, Marketing Planning, Analysis, Strategic Marketing, Business Planning, Marketing, Business Analysis, Strategic Thinking, Constructive Feedback, Business Strategy, Accounting, Report Writing, Writing, Finance, Financial Accounting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    422 reviews

    Mixed · Course · 1 - 3 Months

  • M

    MathWorks

    Predictive Modeling and Machine Learning with MATLAB

    Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Model Training, Applied Machine Learning, Machine Learning Methods, Matlab, Statistical Machine Learning, Regression Analysis, Model Optimization, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Data Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    120 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    Instituto Tecnológico de Aeronáutica

    Princípios de Desenvolvimento Ágil de Software

    Skills you'll gain: User Story, Agile Software Development, Backlogs, Agile Methodology, Scrum (Software Development), Sprint Retrospectives, Agile Product Development, Test Driven Development (TDD), Agile Project Management, Requirements Elicitation, Requirements Analysis, Sprint Planning, Software Development Methodologies, Program Development, Diagram Design, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    221 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    SkillUp

    Get Started with Spreadsheet Applications: Excel

    Skills you'll gain: Productivity Software, Collaborative Software, Microsoft Office, Spreadsheet Software, Google Sheets, Data Visualization, Excel Formulas, Data Entry, File Management, Microsoft Excel, Editing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    197 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    178 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Machine Learning Methods, Classification Algorithms, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Applied Mathematics, Dimensionality Reduction, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    831 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Generative Model Architectures, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Machine Learning Algorithms, Model Training, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Dimensionality Reduction, Model Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    Illinois Tech

    Linear Regression

    Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Methods, Statistical Analysis, Statistical Modeling, R (Software), Statistical Software, Data Science, Correlation Analysis, Data Analysis, Probability & Statistics, Linear Algebra

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    30 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Precalculus through Data and Modelling

    Skills you'll gain: Data Literacy, Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), R Programming, General Mathematics, Data Modeling, Algebra, Systems Of Measurement, Mathematical Software, Regression Analysis, Calculus, Business Mathematics, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    322 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • Python for Real-World Data Analysis: Coursera
  • Wharton Business Foundations Capstone: University of Pennsylvania
  • Predictive Modeling and Machine Learning with MATLAB: MathWorks
  • Princípios de Desenvolvimento Ágil de Software: Instituto Tecnológico de Aeronáutica
  • Get Started with Spreadsheet Applications: Excel: SkillUp
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • AI and Machine Learning Algorithms and Techniques: Microsoft

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