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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.


Popular Applied Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    328 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Predictive Modeling

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Transformation, Statistical Modeling, Trend Analysis, Predictive Analytics, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    144 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Analysis, Computational Thinking, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    187 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    SEO Mastery: From Fundamentals to GenAI and GEO Strategies

    Skills you'll gain: Prompt Engineering, Web Analytics and SEO, Search Engine Optimization, Search Engine Marketing, AI Enablement, Generative AI, Marketing Strategy and Techniques, Blogs, Digital Marketing, Content Marketing, Content Creation, Web Content, Semantic Web, Keyword Research, Content Strategy, Growth Strategies, Artificial Intelligence, Web Analytics, Competitive Analysis, Performance Measurement

    4.7
    Rating, 4.7 out of 5 stars
    ·
    60 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Edinburgh

    Intellectual Humility: Practice

    Skills you'll gain: Empathy, Critical Thinking, Research, Diversity Awareness, Open Mindset, Emotional Intelligence, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    153 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: Model Deployment, iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Computer Vision, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    655 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Mining Foundations and Practice

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Data Warehousing, Supervised Learning, Data Pipelines, Data Preprocessing, Classification Algorithms, Data Modeling, Decision Tree Learning, Data Management, Machine Learning Algorithms, Data Cleansing, Model Evaluation, Exploratory Data Analysis, Analysis, Machine Learning, Big Data, Analytical Skills, Data Analysis

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    177 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    R

    Rice University

    Natural Attenuation of Groundwater Contaminants: New Paradigms, Technologies, and Applications

    Skills you'll gain: Environmental Monitoring, Water Quality, Hydrology, Environmental Engineering, Water Resources, Biochemistry, Environmental Science, Mathematical Modeling, Analytical Chemistry, Laboratory Research, Microbiology, Chemical Engineering, Chemistry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    510 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Q

    Queen Mary University of London

    Research Instruments and Research Hypotheses

    Skills you'll gain: Research Reports, Statistical Hypothesis Testing, Survey Creation, Research Design, Statistical Analysis, Data Collection, Quantitative Research, Research Methodologies, Data Preprocessing, Probability & Statistics, Descriptive Statistics, Data Literacy

    4.9
    Rating, 4.9 out of 5 stars
    ·
    28 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Sampling People, Networks and Records

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Analysis, Statistical Software, Probability & Statistics, Probability, Network Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    110 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Y

    Yonsei University

    Big Data Emerging Technologies

    Skills you'll gain: Apache Spark, Big Data, SPSS, Analytics, Real Time Data, Apache Hadoop, Data Processing, Business Analytics, Statistical Analysis, Data Analysis Software, Business Strategy, Market Share, Distributed Computing, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    319 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    429 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Machine Learning for Data Analysis: Wesleyan University
  • Introduction to Predictive Modeling: University of Minnesota
  • Trees and Graphs: Basics: University of Colorado Boulder
  • SEO Mastery: From Fundamentals to GenAI and GEO Strategies: IBM
  • Intellectual Humility: Practice: The University of Edinburgh
  • Device-based Models with TensorFlow Lite: DeepLearning.AI
  • Data Mining Foundations and Practice: University of Colorado Boulder
  • Natural Attenuation of Groundwater Contaminants: New Paradigms, Technologies, and Applications: Rice University
  • Research Instruments and Research Hypotheses: Queen Mary University of London
  • Sampling People, Networks and Records: University of Michigan

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