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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
    S

    Shanghai Jiao Tong University

    Mandarin Chinese 3: Chinese for Beginners

    Skills you'll gain: Vocabulary, Language Learning, Oral Comprehension, Culture

    4.8
    Rating, 4.8 out of 5 stars
    ·
    329 reviews

    Beginner · Course · 1 - 3 Months

  • T

    The University of Edinburgh

    Animal Behaviour and Welfare

    Skills you'll gain: Applied Behavior Analysis, Scientific Methods, Safety Assurance, Behavior Management, Stress Management, Empathy & Emotional Intelligence, Ethical Standards And Conduct, Healthcare Ethics, General Science and Research, Environmental Issue, Nutrition and Diet

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.4K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Business Writing

    Skills you'll gain: Business Writing, Business Correspondence, Business Communication, Writing, Organizational Skills, Concision, Writing and Editing, Proofreading, Grammar, Communication, Editing, Organizational Strategy, Persuasive Communication, Verbal Communication Skills, Communication Strategies

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

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Learn & Build Machine Learning Models with Python

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Arizona State University

    Bayesian Statistical Concepts and Methods

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Simulations, Probability Distribution

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, CI/CD, Model Evaluation, Applied Machine Learning, Apache Airflow, Data Migration, Data Cleansing, Data Quality, Data Lakes, AI Enablement, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Amsterdam

    Data Analytics for Lean Six Sigma

    Skills you'll gain: Lean Six Sigma, Statistical Hypothesis Testing, Minitab, Regression Analysis, Data Visualization Software, Probability Distribution, Data Analysis, Histogram, Statistical Analysis, Box Plots, Process Improvement, Logistic Regression, Statistics, Variance Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of AI Engineering

    Skills you'll gain: NumPy, Matplotlib, Statistical Methods, Data Visualization, Python Programming, Pandas (Python Package), Seaborn, Machine Learning, Applied Mathematics, Statistical Analysis, Exploratory Data Analysis, Data Science, Probability, Regression Analysis, Linear Algebra, Data Manipulation, Calculus

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algebra: Elementary to Advanced - Equations & Inequalities

    Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    643 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Systems Analyst

    Skills you'll gain: Process Mapping, Process Analysis, Business Analysis, Data Storytelling, Business Process Improvement, Feasibility Studies, Systems Analysis, Stakeholder Analysis, Process Optimization, Requirements Management, Process Design, Business Requirements, Systems Design, Stakeholder Management, Communication Planning, Test Planning, Information Technology, Business Process Modeling, Database Management, Agile Methodology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

1…252627…269

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

  • Mandarin Chinese 3: Chinese for Beginners: Shanghai Jiao Tong University
  • Animal Behaviour and Welfare: The University of Edinburgh
  • Business Writing: University of Colorado Boulder
  • Learn & Build Machine Learning Models with Python: EDUCBA
  • Bayesian Statistical Concepts and Methods: Arizona State University
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Data Analytics for Lean Six Sigma: University of Amsterdam
  • Foundations of AI Engineering: Packt
  • Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University

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