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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.

Popular Statistics Courses and Certifications


  • Y

    Yale University

    Understanding Medical Research: Your Facebook Friend is Wrong

    Skills you'll gain: Statistical Methods, Data Literacy, Statistics, Descriptive Statistics, Medical Science and Research, Research Design, Scientific Methods, Research, Science and Research, Analysis, Clinical Research, Biostatistics, Research Methodologies, Risk Analysis, Medical Terminology, Fraud detection

    ★ 4.9 (2.2K) · Beginner · Course · 1 - 3 Months

  • U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Mathematical Modeling, Linear Algebra

    ★ 4.7 (839) · Advanced · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Machine Learning Methods, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Distributed Computing, Probability Distribution, Algorithms

    ★ 4.7 (2.4K) · Mixed · Course · 1 - 3 Months

  • W

    Wesleyan University

    Data Analysis and Interpretation

    Skills you'll gain: Regression Analysis, Data Storytelling, Logistic Regression, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Plot (Graphics), Exploratory Data Analysis, Statistical Visualization, Data Manipulation, Decision Tree Learning, Statistical Machine Learning, Data Analysis, Statistical Methods, Machine Learning, Statistics

    ★ 4.4 (1.4K) · Beginner · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Managing Data Analysis

    Skills you'll gain: Exploratory Data Analysis, Statistical Reporting, Data Analysis, Data Presentation, Team Management, Analytical Skills, Presentations, Team Leadership, People Management, Statistical Inference, Statistical Modeling, Statistical Methods, Data Collection, Communication

    ★ 4.6 (3.4K) · Mixed · Course · 1 - 4 Weeks

  • I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning

    ★ 4.8 (722) · Intermediate · Specialization · 3 - 6 Months

  • G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms

    ★ 4.8 (623) · Advanced · Course · 1 - 3 Months

  • D

    Duke University

    Linear Regression and Modeling

    Skills you'll gain: Regression Analysis, R (Software), Statistical Programming, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Model Evaluation, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics, Statistical Hypothesis Testing

    ★ 4.8 (1.8K) · Beginner · Course · 1 - 4 Weeks

  • U

    Universidad Nacional Autónoma de México

    Estadística y probabilidad

    Skills you'll gain: Probability & Statistics, Descriptive Statistics, Statistics, Data Literacy, Data Analysis, Statistical Methods, Statistical Modeling, Correlation Analysis, Statistical Analysis, Descriptive Analytics, Data Presentation, Statistical Visualization, Probability, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Graphing, Scatter Plots

    ★ 4.6 (1.7K) · Beginner · Course · 1 - 4 Weeks

  • U

    University of Zurich

    An Intuitive Introduction to Probability

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Descriptive Statistics, Statistical Methods, Applied Mathematics, Finance, Correlation Analysis

    ★ 4.8 (1.9K) · Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Hypothesis Testing in Public Health

    Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Methods, Statistical Inference, Scientific Methods, Quantitative Research, Epidemiology, Public Health, Analysis

    ★ 4.8 (659) · Beginner · Course · 1 - 3 Months

  • S

    Stanford University

    Graph Search, Shortest Paths, and Data Structures

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Social Network Analysis, Network Analysis, Theoretical Computer Science, Probability & Statistics

    ★ 4.8 (2K) · Intermediate · Course · 1 - 4 Weeks

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

  • Understanding Medical Research: Your Facebook Friend is Wrong: Yale University
  • State Estimation and Localization for Self-Driving Cars: University of Toronto
  • Machine Learning: Clustering & Retrieval: University of Washington
  • Data Analysis and Interpretation: Wesleyan University
  • Managing Data Analysis: Johns Hopkins University
  • TensorFlow 2 for Deep Learning: Imperial College London
  • The Nuts and Bolts of Machine Learning: Google
  • Linear Regression and Modeling : Duke University
  • Estadística y probabilidad: Universidad Nacional Autónoma de México
  • An Intuitive Introduction to Probability: University of Zurich

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