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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
    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, LLM Application, Productivity, AI Personalization, AI Enablement, OpenAI, Artificial Intelligence, Large Language Modeling, Anthropic Claude, Expense Management, Productivity Software, Creativity, Verification And Validation, Communication, Planning, Marketing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.9K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Learn SQL Basics for Data Science

    Skills you'll gain: Presentations, Data Governance, SQL, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Data Quality, Exploratory Data Analysis, Data Pipelines, JSON, Statistical Analysis, Data Modeling, Performance Metric, Database Design, Data Analysis, Complex Problem Solving, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 3 - 6 Months

  • 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, Civil Engineering, Structural Analysis, Applied Mathematics, Trigonometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.1K reviews

    Mixed · 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, Time Series Analysis and Forecasting, Deep Learning, Embeddings, Artificial Neural Networks, Generative AI, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Data Preprocessing, 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

    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Transfer Learning, Deep Learning, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
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    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Stanford University

    Game Theory

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

    4.6
    Rating, 4.6 out of 5 stars
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    4.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Generative AI with Large Language Models

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, LLM Application, Prompt Engineering, Model Deployment, Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Model Evaluation, Reinforcement Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, Applied Machine Learning, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Machine Learning, Probability & Statistics, Data Import/Export

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

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Counting & Probability

    Skills you'll gain: Bayesian Statistics, Mathematical Theory & Analysis, Arithmetic, Advanced Mathematics, Deductive Reasoning

    Beginner · 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, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    13K reviews

    Beginner · 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 Infrastructure, Sprint Retrospectives, Cloud Platforms, Agile Project Management, Cloud Computing, Cloud-Native Computing, Cloud Storage, CI/CD, Test Driven Development (TDD)

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

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of London

    Essential Mathematics for Computer Science

    Skills you'll gain: Computational Logic, Algorithms, Applied Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Deductive Reasoning, Mathematical Theory & Analysis, Trigonometry, Statistics, General Mathematics, Analysis, Graphing, Computer Science, Mathematical Modeling, Programming Principles, Business Mathematics, Business Logic, Algebra, Arithmetic, Problem Solving

    Build toward a degree

    Beginner · Specialization · 3 - 6 Months

1…212223…279

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

  • ChatGPT: Master Free AI Tools to Supercharge Productivity: Vanderbilt University
  • Learn SQL Basics for Data Science: University of California, Davis
  • Introduction to Engineering Mechanics: Georgia Institute of Technology
  • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
  • Structuring Machine Learning Projects: DeepLearning.AI
  • Game Theory: Stanford University
  • Generative AI with Large Language Models: DeepLearning.AI
  • Exploratory Data Analysis for Machine Learning: IBM
  • Discrete Math for Computer Science - Counting & Probability: The Hong Kong University of Science and Technology
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London

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