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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
    D

    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Transfer Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Machine Learning, Debugging, Model Training, Decision Intelligence, AI Product Strategy, Model Optimization, Model Evaluation, Data-Driven Decision-Making, AI Workflows

    4.8
    Rating, 4.8 out of 5 stars
    ·
    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Eindhoven University of Technology

    Improving your statistical inferences

    Skills you'll gain: Statistical Inference, Science and Research, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Statistical Methods, Probability & Statistics, Sample Size Determination, Research, Data Literacy, General Science and Research, Data Sharing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    802 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Data Science Math Skills

    Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Data Science, Calculus, General Mathematics, Applied Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM IT Scrum Master

    Skills you'll gain: User Story, Software Development Life Cycle, Software Architecture, Sprint Retrospectives, Agile Software Development, Kanban Principles, DevOps, Backlogs, Full-Stack Web Development, Software Design, Risk Analysis, Scrum (Software Development), Information Technology, Computer Hardware, Agile Methodology, Agile Project Management, Team Building, Risk Management, Leadership, Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Machine Learning Methods, Generative AI Agents, Generative AI, Prompt Patterns, Generative Model Architectures, Prompt Engineering Tools, AI literacy, Risking, Retrieval-Augmented Generation, LLM Application, Agentic systems, Machine Learning Algorithms, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, Applied Mathematics, Jupyter, Data Science, Data Manipulation, Data Transformation, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

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

    Interplay Learning

    Common HVAC Formulas

    Skills you'll gain: HVAC, Energy and Utilities, Hardware Troubleshooting, Thermal Management, Engineering Calculations, Facility Repair And Maintenance, Systems Of Measurement, Engineering Analysis, Facility Management, Applied Mathematics

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Initiating and Planning Projects

    Skills you'll gain: Stakeholder Engagement, Project Planning, Stakeholder Communications, Project Management, Planning, Work Breakdown Structure, Scope Management, Interpersonal Communications

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24K reviews

    Mixed · Course · 1 - 3 Months

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

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Transfer Learning, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.3K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algebra: Elementary to Advanced - Equations & Inequalities

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    653 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Probability & Statistics, Probability, Design Strategies, Logical Reasoning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Structuring Machine Learning Projects: DeepLearning.AI
  • Improving your statistical inferences: Eindhoven University of Technology
  • Data Science Math Skills: Duke University
  • IBM IT Scrum Master: IBM
  • Introduction to Artificial Intelligence (AI): IBM
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Common HVAC Formulas: Interplay Learning
  • Initiating and Planning Projects: University of California, Irvine
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University

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