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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 Toronto

    Introduction to GIS Mapping

    Skills you'll gain: ArcGIS, Spatial Data Analysis, Geographic Information Systems, Spatial Analysis, Geospatial Mapping, Data Mapping, Global Positioning Systems, Data Capture

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Cloud Deployment, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    251 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Emory University

    Meaningful Marketing Insights

    Skills you'll gain: Pivot Tables And Charts, Marketing Analytics, Descriptive Statistics, Microsoft Excel, Regression Analysis, Data Analysis, Data-Driven Decision-Making, Marketing, Marketing Effectiveness, Exploratory Data Analysis, Consumer Behaviour, Statistical Analysis, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    291 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    766 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Digital Marketing: Customer

    Skills you'll gain: Digital Marketing, AI Personalization, MarTech, Consumer Behaviour, Marketing Strategies, Cross-Channel Marketing, Customer experience strategy (CX), Digital Advertising, Customer Engagement, Content Creation, Marketing Analytics, Social Media Content, Web Analytics, Content Strategy, Search Engine Optimization, Generative AI, Analytics, Data Analysis, Data Visualization, Data Collection

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Deep Learning, Image Quality, Data Preprocessing, Artificial Neural Networks, Matlab, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Traffic Flow Optimization, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    359 reviews

    Beginner · Professional Certificate · 3 - 6 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
    ·
    613 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    U

    University of Pennsylvania

    Calculus: Single Variable Part 2 - Differentiation

    Skills you'll gain: Calculus, Applied Mathematics, Derivatives, Engineering Calculations, Advanced Mathematics, Estimation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modern Regression Analysis in R

    Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Data Science, R Programming, Data Modeling, Statistical Analysis, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Model Evaluation, Feature Engineering

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Applications in Marketing and Finance

    Skills you'll gain: AI Personalization, Fraud detection, Big Data, Credit Risk, Risk Management, Digital Transformation, Customer Insights, Machine Learning, Marketing Analytics, AI Enablement, Data-Driven Decision-Making, Applied Machine Learning, Financial Data, Customer experience improvement, Artificial Intelligence, Analytics, Retail Banking, Data Science, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    484 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Regression Analysis: Simplify Complex Data Relationships

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Analytics, Correlation Analysis, Predictive Modeling, Supervised Learning, Analysis, Statistical Modeling, Machine Learning, Model Evaluation, Variance Analysis, Classification Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    589 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    307 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Introduction to GIS Mapping: University of Toronto
  • Foundations of AI and Machine Learning: Microsoft
  • Meaningful Marketing Insights: Emory University
  • Machine Learning Foundations for Product Managers: Duke University
  • Digital Marketing: Customer: University of Illinois Urbana-Champaign
  • MathWorks Computer Vision Engineer: MathWorks
  • Introduction to R Programming for Data Science: IBM
  • Calculus: Single Variable Part 2 - Differentiation: University of Pennsylvania
  • Modern Regression Analysis in R: University of Colorado Boulder
  • AI Applications in Marketing and Finance: University of Pennsylvania

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