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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
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    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: Preview
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    S

    Stanford University

    Game Theory

    Skills you'll gain: Game Theory, Mathematical Modeling, Bayesian Statistics, Behavioral Economics, Probability, Economics, Markov Model, Problem Solving, Algorithms, Correlation Analysis, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    MATLAB Programming for Engineers and Scientists

    Skills you'll gain: Prompt Engineering, Image Analysis, Data Visualization Software, File I/O, Object Oriented Programming (OOP), Algorithms, Machine Learning Methods, Matlab, Applied Machine Learning, Object Oriented Design, ChatGPT, LLM Application, Large Language Modeling, Dimensionality Reduction, Software Engineering, Program Development, Code Reusability, Computer Programming, Data Analysis, Computer Programming Tools

    4.8
    Rating, 4.8 out of 5 stars
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    18K reviews

    Beginner · Specialization · 3 - 6 Months

  • 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

    IBM

    IBM IT Project Manager

    Skills you'll gain: User Story, Software Development Life Cycle, Risk Management, Team Motivation, Software Architecture, Stakeholder Engagement, Project Planning, Peer Review, Agile Software Development, Scrum (Software Development), Project Management Life Cycle, Risk Management Framework, Stakeholder Management, Stakeholder Communications, Project Management, Information Technology, Interviewing Skills, Agile Project Management, Leadership, Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Compute Engine

    Skills you'll gain: Identity and Access Management, Cloud Infrastructure, Google Cloud Platform, Prompt Engineering, Application Deployment, Kubernetes, Prompt Engineering Tools, Containerization, Infrastructure As A Service (IaaS), Cloud Deployment, Infrastructure Architecture, Cloud Computing Architecture, Cloud Computing, Cloud Solutions, Prompt Patterns, Virtual Machines, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications

    4.7
    Rating, 4.7 out of 5 stars
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    59K reviews

    Intermediate · Specialization · 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
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    23K 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
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    802 reviews

    Intermediate · Course · 1 - 3 Months

  • 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
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    13K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Algorithms, Statistical Methods, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 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, Classification Algorithms, Predictive Modeling, 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
    G

    Google

    Agile Project Management

    Skills you'll gain: Agile Project Management, Backlogs, Agile Software Development, Agile Methodology, User Story, Sprint Planning, Agile Product Development, Product Roadmaps, Sprint Retrospectives, Product Requirements, Coaching, Team Management, Team Oriented, Team Building, Organizational Change, Waterfall Methodology, Project Management Software, Prioritization, Problem Solving, Influencing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    15K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Exploratory Data Analysis for Machine Learning: IBM
  • Game Theory: Stanford University
  • MATLAB Programming for Engineers and Scientists: Vanderbilt University
  • Structuring Machine Learning Projects: DeepLearning.AI
  • IBM IT Project Manager: IBM
  • Architecting with Google Compute Engine: Google Cloud
  • Introduction to Artificial Intelligence (AI): IBM
  • Improving your statistical inferences: Eindhoven University of Technology
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Machine Learning with Python: IBM

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