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Statistics Courses

Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.


More to explore:

Popular Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Software Engineering

    Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development Tools, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Back-End Web Development, Software Documentation, Computer Programming, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Learn SQL Basics for Data Science

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

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, Predictive Modeling, AI Enablement, Responsible AI, Data Visualization, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Data Presentation, Data Science, AI Workflows, Data Synthesis, Deep Learning, Machine Learning

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Logistic Regression, Statistical Hypothesis Testing, Model Evaluation, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming

    Build toward a degree

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

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis with Python

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Data Preprocessing, Regression Analysis, Data Science, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Data Visualization, NumPy, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    SAS Certification Practice Exams

    Skills you'll gain: Model Deployment, Logistic Regression, Probability & Statistics, Statistics, Model Evaluation, Classification And Regression Tree (CART)

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    Data Science Math Skills

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

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

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Data Science

    Skills you'll gain: Data Ethics, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Business Analytics, Data Storytelling, Data Science, Communication, Stakeholder Communications, Workflow Management, Project Management, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Advanced · Course · 1 - 3 Months

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

    IBM

    IBM Systems Analyst

    Skills you'll gain: Data Storytelling, Process Mapping, Process Analysis, Business Analysis, Data Presentation, Business Process Improvement, Interactive Data Visualization, Feasibility Studies, Data Visualization, Systems Analysis, Stakeholder Analysis, Process Optimization, Requirements Management, Systems Design, Stakeholder Engagement, Information Technology, Release Management, Business Process Modeling, Database Management, Agile Methodology

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

    Beginner · Professional Certificate · 3 - 6 Months

  • U

    University of Leeds

    Master of Science in Data Science (Statistics)

    Skills you'll gain: Data Ethics, Data Presentation, Regression Analysis, Data Storytelling, Statistical Hypothesis Testing, Exploratory Data Analysis, Bayesian Statistics, Statistical Machine Learning, Model Evaluation, Statistical Visualization, Classification And Regression Tree (CART), Network Analysis, Statistical Methods, Applied Machine Learning, Data Manipulation, Statistical Modeling, Linear Algebra, File I/O, Data Preprocessing, Object Oriented Programming (OOP)

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Preview
    Preview
    S

    Stanford University

    Game Theory

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

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

    Beginner · Course · 1 - 3 Months

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

  • Introduction to Software Engineering: IBM
  • Learn SQL Basics for Data Science: University of California, Davis
  • Generative AI for Data Scientists: IBM
  • Google Advanced Data Analytics: Google
  • Data Analysis with Python: IBM
  • SAS Certification Practice Exams: SAS
  • Data Science Math Skills: Duke University
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Foundations of Data Science: Google
  • IBM Systems Analyst: IBM

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