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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
    U

    University of Colorado System

    Customer Data Analytics for Marketers

    Skills you'll gain: Marketing Analytics, Probability & Statistics, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Statistical Analysis, Marketing Effectiveness, Statistical Hypothesis Testing, Customer Insights, Customer Analysis, Correlation Analysis, Descriptive Statistics, Data Analysis, Analytics, Marketing Strategies, Exploratory Data Analysis, Statistical Visualization, Statistical Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Style Images with CSS

    Skills you'll gain: Cascading Style Sheets (CSS), Responsive Web Design, Browser Compatibility, Hypertext Markup Language (HTML), Web Development Tools, Web Design, Web Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    63 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Mining Quality Prediction Using Machine & Deep Learning

    Skills you'll gain: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    69 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    R Programming Essentials with Microsoft Tools

    Skills you'll gain: Version Control, Software Documentation, Microsoft Copilot, Microsoft Visual Studio, Program Development, Statistical Analysis, Development Environment, Descriptive Statistics, Debugging

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Building Powerful Reports and Dashboards in Power BI

    Skills you'll gain: Data Ethics, Dashboard, Power BI, Business Intelligence, Interactive Data Visualization, Data Presentation, Data Visualization, Data Storytelling, Data Visualization Software, Data-Driven Decision-Making, Business Reporting, Business Analytics, Data Analysis Expressions (DAX), Data Security, Data Management, Key Performance Indicators (KPIs), Data Analysis, Performance Analysis, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    39 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Data Science, Probability & Statistics, Dimensionality Reduction, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Università Bocconi

    A Scientific Approach to Innovation Management

    Skills you'll gain: Data Analysis, Innovation, Strategic Decision-Making, Statistical Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Big Data, Business Metrics, A/B Testing, Case Studies, Probability, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    83 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Securing AI and Advanced Topics

    Skills you'll gain: Generative Adversarial Networks (GANs), AI Security, Generative AI, Fraud detection, Model Evaluation, Feature Engineering, Cybersecurity, Cyber Security Strategy, Data Preprocessing, Anomaly Detection, Security Testing, Applied Machine Learning, Reinforcement Learning, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    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
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Customer Data Analytics for Marketers: University of Colorado System
  • Style Images with CSS: Coursera
  • Mining Quality Prediction Using Machine & Deep Learning: Coursera
  • R Programming Essentials with Microsoft Tools: Microsoft
  • Interpretable machine learning applications: Part 3: Coursera
  • Building Powerful Reports and Dashboards in Power BI: Microsoft
  • Machine Learning Essentials: University of Pennsylvania
  • Introduction to Machine Learning with Python: Arizona State University
  • A Scientific Approach to Innovation Management: Università Bocconi
  • Securing AI and Advanced Topics: Johns Hopkins University

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