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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.


More to explore:

Popular Applied Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    M

    McMaster University

    Finance for Everyone: Decisions

    Skills you'll gain: Finance, Peer Review, Project Design, Business Mathematics, Market Dynamics, Financial Analysis, Financial Planning, Capital Markets, Economics, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    899 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Minnesota

    Resilience in Children Exposed to Trauma, Disaster and War: Global Perspectives

    Skills you'll gain: Child Welfare, Research, Research Methodologies, Family Support, Working With Children, Trauma Care, Child Development, Social Sciences, Human Development, Cultural Diversity, Culture, Case Studies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    740 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Quantum Mechanics

    Skills you'll gain: Electrical Engineering, Linear Algebra, Physics, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Differential Equations, Simulations, Physical Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    87 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    Technical University of Denmark (DTU)

    Introduction to advanced tomography

    Skills you'll gain: Jupyter, Medical Imaging, 3D Modeling, Image Analysis, Engineering Analysis, Finite Element Methods, Numerical Analysis, Mathematical Modeling, Materials science, Simulation and Simulation Software, Digital Signal Processing, Python Programming, Applied Mathematics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    66 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to R Programming for Data Science

    Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

    4.5
    Rating, 4.5 out of 5 stars
    ·
    591 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    SAS Statistical Business Analyst

    Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Data Preprocessing, Statistical Machine Learning, Feature Engineering

    4.6
    Rating, 4.6 out of 5 stars
    ·
    227 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Control of Nonlinear Spacecraft Attitude Motion

    Skills you'll gain: Control Systems, Vibrations, Torque (Physics), Mathematical Modeling, Differential Equations, Simulation and Simulation Software, Engineering Analysis, Applied Mathematics, Mechanics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    68 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    819 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Preprocessing, Data Processing, Extract, Transform, Load, Predictive Modeling, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    113 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modeling: Precalculus Review

    Skills you'll gain: Data Modeling, Graphing, Mathematical Modeling, Algebra, Trigonometry, Linear Algebra, Calculus, Graphical Tools, Mathematical Software, Applied Mathematics, Geometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    118 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Recurrent Neural Networks (RNNs), Machine Learning Algorithms, Model Evaluation, Exploratory Data Analysis, Dimensionality Reduction, Convolutional Neural Networks, Applied Machine Learning, Generative Adversarial Networks (GANs), Decision Tree Learning, Autoencoders, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Classification Algorithms, Artificial Neural Networks, Data Science, Machine Learning, Python Programming

    Build toward a degree

    3.4
    Rating, 3.4 out of 5 stars
    ·
    129 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Software Development Processes and Methodologies

    Skills you'll gain: Software Development Methodologies, Agile Methodology, Software Engineering, Software Development Life Cycle, Requirements Analysis, Application Deployment, Agile Software Development, Software Architecture, Verification And Validation, Waterfall Methodology, System Requirements, Software Testing, User Requirements Documents

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Finance for Everyone: Decisions: McMaster University
  • Resilience in Children Exposed to Trauma, Disaster and War: Global Perspectives: University of Minnesota
  • Foundations of Quantum Mechanics: University of Colorado Boulder
  • Introduction to advanced tomography: Technical University of Denmark (DTU)
  • Introduction to R Programming for Data Science: IBM
  • SAS Statistical Business Analyst: SAS
  • Control of Nonlinear Spacecraft Attitude Motion: University of Colorado Boulder
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Machine Learning with Apache Spark: IBM
  • Calculus through Data & Modeling: Precalculus Review: Johns Hopkins University

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