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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: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Unsupervised Learning, Statistical Methods, Descriptive Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Applied Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Agentic systems, Feature Engineering, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Decision Intelligence, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Applied Machine Learning, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Data Wrangling, Machine Learning, Probability & Statistics, Data Import/Export, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM DevOps, Cloud, and Agile Foundations

    Skills you'll gain: User Story, Cloud Computing Architecture, Agile Software Development, Cloud Services, Scrum (Software Development), Cloud Deployment, Agile Methodology, Kanban Principles, DevOps, Backlogs, Cloud Security, Cloud Technologies, Cloud Infrastructure, Sprint Retrospectives, Cloud Platforms, Cloud Computing, Cloud-Native Computing, Devops Tools, Continuous Integration, CI/CD

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Embeddings, Model Training, Network Architecture

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Introduction to Engineering Mechanics

    Skills you'll gain: Engineering Analysis, Mechanics, Torque (Physics), Engineering Calculations, Mechanical Engineering, Engineering, Engineering Practices, Structural Analysis, Applied Mathematics, Trigonometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.2K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    ChatGPT: Master Free AI Tools to Supercharge Productivity

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, ChatGPT, Generative AI Agents, Generative AI, LLM Application, AI literacy, OpenAI, OpenAI API, Expense Management, AI Personalization, AI Enablement, Context Engineering, AI powered creativity, Artificial Intelligence, Expense Reports, Communication, Planning, Marketing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    DeepLearning.AI TensorFlow Developer

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Computer Vision, Model Evaluation, Transfer Learning, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Model Training, Time Series Analysis and Forecasting, Deep Learning, Embeddings, Fine-tuning, Artificial Neural Networks, Applied Machine Learning, Generative AI, Classification Algorithms, Forecasting, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Logic and Critical Thinking

    Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Computational Logic, Analysis, Probability, Diagram Design, Sampling (Statistics), Persuasive Communication, Verification And Validation, Probability & Statistics, Statistical Inference, Correlation Analysis, Communication, Decision Intelligence, Appeals, Business Communication

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.8K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Structuring Machine Learning Projects: DeepLearning.AI
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Reinforcement Learning: University of Alberta
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Probabilistic Graphical Models: Stanford University
  • Exploratory Data Analysis for Machine Learning: IBM
  • IBM DevOps, Cloud, and Agile Foundations: IBM
  • Convolutional Neural Networks: DeepLearning.AI
  • Introduction to Engineering Mechanics: Georgia Institute of Technology
  • ChatGPT: Master Free AI Tools to Supercharge Productivity: Vanderbilt University

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