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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


  • C

    Coursera

    NLP: Twitter Sentiment Analysis

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Preprocessing, Data Analysis, Classification Algorithms, Python Programming, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    374 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Conditional Formatting, Tables and Charts in Microsoft Excel

    Skills you'll gain: Data Literacy, Microsoft Excel, Data Visualization Software, Spreadsheet Software, Pivot Tables And Charts, Exploratory Data Analysis, Data Analysis Software, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    262 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    ANOVA and Experimental Design

    Skills you'll gain: Statistical Hypothesis Testing, Experimentation, Research Design, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, A/B Testing, Data Analysis, Quantitative Research, Regression Analysis, Statistical Inference, Probability & Statistics, Sample Size Determination, Linear Algebra, Calculus

    Build toward a degree

    4
    Rating, 4 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Applying Data Analytics in Finance

    Skills you'll gain: Portfolio Management, Time Series Analysis and Forecasting, Performance Measurement, Financial Forecasting, Analytics, Financial Trading, Financial Analysis, R Programming, Trend Analysis, Investments, Statistical Analysis, Risk Analysis, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    223 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Integral Calculus through Data and Modeling

    Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Mathematical Modeling, Data Analysis, Vector Databases, Probability, Geometry, Applied Mathematics, Mechanics, Engineering Calculations, Spatial Data Analysis, Derivatives, Physics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    141 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Data Analysis Tools

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Software, Correlation Analysis, SAS (Software), Data Analysis, Statistical Methods, Quantitative Research, Probability & Statistics, Analytical Skills, Regression Analysis, Data Management, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    416 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad Austral

    Conceptos base para el estudio del medio ambiente

    Skills you'll gain: Environmental Science, Chemistry, Biology, Environmental Monitoring, Environment, Data Analysis, Physical Science, Sustainable Development, Life Sciences, Statistical Analysis, Natural Resource Management, Water Quality, Sampling (Statistics), Physics, Climate Change Mitigation, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    532 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust Programming

    Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), Jenkins, Application Deployment, DevOps, LLM Application, Hugging Face, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Amazon Web Services, Command-Line Interface, Natural Language Processing, Computer Programming, Cloud Computing

    3.9
    Rating, 3.9 out of 5 stars
    ·
    281 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI beginner part 1 Linear Algebra

    Skills you'll gain: Linear Algebra, Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning, Mathematical Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    33 reviews

    Beginner · 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, Differential Equations, Physical Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    88 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    King Abdullah University of Science and Technology

    Fundamental Skills in Bioinformatics

    Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Pandas (Python Package), Python Programming, NumPy, Data Manipulation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    92 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Introduction to Artificial Intelligence

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Deep Learning, Responsible AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Regression Analysis, Law, Regulation, and Compliance, Classification Algorithms, Business Ethics, Governance

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • NLP: Twitter Sentiment Analysis: Coursera
  • Conditional Formatting, Tables and Charts in Microsoft Excel: Coursera
  • ANOVA and Experimental Design: University of Colorado Boulder
  • Applying Data Analytics in Finance: University of Illinois Urbana-Champaign
  • Integral Calculus through Data and Modeling: Johns Hopkins University
  • Data Analysis Tools: Wesleyan University
  • Conceptos base para el estudio del medio ambiente: Universidad Austral
  • Rust Programming: Duke University
  • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
  • Foundations of Quantum Mechanics: University of Colorado Boulder

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