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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: Preview
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    N

    Northeastern University

    Generative AI: Foundations and Concepts

    Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Dimensionality Reduction, Network Architecture, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Performing Network, Path, and Text Analyses in SAS Visual Analytics

    Skills you'll gain: SAS (Software), Network Analysis, Text Mining, Spatial Analysis, Data Visualization, Data Manipulation, Data Analysis, Exploratory Data Analysis, Statistical Programming, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
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    194 reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of California, Davis

    Continuous Integration

    Skills you'll gain: Continuous Integration, CI/CD, Continuous Delivery, Continuous Deployment, Integration Testing, DevOps, Continuous Monitoring, System Monitoring, Docker (Software), Application Deployment, Security Controls, GitHub, Automation, Version Control

    4
    Rating, 4 out of 5 stars
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    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    MedCerts

    Verbal Operants

    Skills you'll gain: Working With Children, Applied Behavior Analysis, Communication Disorders, Language Disorders, Non-Verbal Communication, Human Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Physics of Oscillators and Waves

    Skills you'll gain: Mechanics, Physics, Vibrations, Advanced Mathematics, Differential Equations, Calculus, Trigonometry, Applied Mathematics, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
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    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Software Requirements Prioritization: Risk Analysis

    Skills you'll gain: Security Requirements Analysis, Requirements Analysis, Risk Management Framework, Risking, User Requirements Documents, Scalability, Verification And Validation, Software Visualization, Safety and Security

    4.6
    Rating, 4.6 out of 5 stars
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    113 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Visualization and Modeling in Python

    Skills you'll gain: Matplotlib, Data Visualization, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Modeling, Probability & Statistics, Classification Algorithms, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Google Analytics for Beginners: Marketing Essentials

    Skills you'll gain: Web Analytics, Google Analytics, Content Performance Analysis, Customer Analysis, E-Commerce, Marketing Analytics, Performance Analysis, Performance Reporting, Marketing Effectiveness

    4.5
    Rating, 4.5 out of 5 stars
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    11 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Differential Equations Part II Series Solutions

    Skills you'll gain: Differential Equations, Applied Mathematics, Advanced Mathematics, Calculus, Linear Algebra, Engineering Analysis, Mathematical Theory & Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    12 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Explainable deep learning models for healthcare - CDSS 3

    Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Healthcare 5.0, Recurrent Neural Networks (RNNs), Applied Machine Learning, Time Series Analysis and Forecasting, Machine Learning, Convolutional Neural Networks, Responsible AI, Electocardiography, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    15 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Generative AI: Foundations and Concepts: Northeastern University
  • Performing Network, Path, and Text Analyses in SAS Visual Analytics: SAS
  • Continuous Integration: University of California, Davis
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Verbal Operants : MedCerts
  • Physics of Oscillators and Waves: Rice University
  • Software Requirements Prioritization: Risk Analysis: University of Colorado System
  • Data Visualization and Modeling in Python: Duke University
  • Google Analytics for Beginners: Marketing Essentials: Coursera
  • Build and deploy a stroke prediction model using R: Coursera

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