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    Statistics Courses

    Statistics courses can help you learn how to collect, analyze, and interpret data to make informed decisions in fields like science, business, and healthcare.

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    Find the Best Statistics Course for Your Goals

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Psychological Research

      Skills you'll gain: Descriptive Statistics, Quantitative Research, Plot (Graphics), Scientific Methods, Graphing, Research Design, Statistical Visualization, Statistical Hypothesis Testing, Healthcare Ethics, Probability & Statistics, Research, Statistical Inference, Statistics, Sample Size Determination, Ethical Standards And Conduct, Data Analysis, Data Collection, Research and Design, Research Methodologies, General Science and Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      255 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Doing More with SAS Programming

      Skills you'll gain: SAS (Software), Data Manipulation, Data Processing, Data Transformation, Data Integration, Statistical Programming, Data Analysis, Data Presentation, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      941 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Image Processing for Engineering and Science

      Skills you'll gain: Image Analysis, Anomaly Detection, Computer Vision, Data Processing, Data Manipulation, Data Store, Automation, Data Transformation, Metadata Management, Histogram, Spatial Analysis, Data Import/Export, Data Storage Technologies, Data Storage, Matlab, Color Theory, Unsupervised Learning, Machine Learning, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      220 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to R Programming for Data Science

      Skills you'll gain: Web Scraping, Data Manipulation, R Programming, Data Import/Export, Data Analysis, Data Science, Data Structures, Statistical Programming, Restful API, Exploratory Data Analysis, Data Cleansing, Programming Principles, Development Environment, Jupyter, Integrated Development Environments

      4.5
      Rating, 4.5 out of 5 stars
      ·
      576 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      ESSEC Business School

      Foundations of strategic business analytics

      Skills you'll gain: Business Analytics, Forecasting, Predictive Analytics, Analytics, Data Visualization, Strategic Thinking, Data Presentation, Business Intelligence, People Analytics, Trend Analysis, Data Analysis, Statistical Analysis, Data Storytelling, Statistical Methods, Probability & Statistics, Correlation Analysis, Regression Analysis, Data Mining, R Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      656 reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Introduction to Bayesian Statistics for Data Science

      Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Probability, Statistical Analysis, Regression Analysis, Data Science, Probability Distribution

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Sampling (Statistics), Statistical Inference, Machine Learning Methods, Markov Model, Graph Theory, Probability & Statistics, Algorithms, Probability Distribution, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Unsupervised Learning, Data Ethics, Apache Spark, Data Pipelines, Probability Distribution, PySpark, Data Processing, Data Cleansing, MLOps (Machine Learning Operations), Data Storytelling, Data Visualization Software, Supervised Learning, Business Process, Unit Testing, Applied Machine Learning, Data Science, Machine Learning, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      330 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Hypothesis Testing in Public Health

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      645 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Elevate Your Data Science Career

      Skills you'll gain: Generative AI, Exploratory Data Analysis, Predictive Modeling, Prompt Engineering, Large Language Modeling, Data Science, Data Processing, Deep Learning, Data Analysis, Data Transformation, Data Cleansing, Data Visualization Software, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      211 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Large Language Model Operations (LLMOps)

      Skills you'll gain: Prompt Engineering, Apache Airflow, Generative AI, Databricks, Large Language Modeling, MySQL, Extract, Transform, Load, Data Pipelines, Scalability, Jupyter, Exploratory Data Analysis, Data Lakes, Serverless Computing, Microsoft Azure, Data Transformation, Data Ethics, OpenAI, Apache Spark, Debugging, PyTorch (Machine Learning Library)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      202 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Large Language Modeling, Generative AI, Deep Learning, Bayesian Statistics, Image Analysis, Statistical Modeling, Natural Language Processing, Data Pipelines, Data Validation, Predictive Modeling, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Google Cloud Platform, Computer Vision, Probability Distribution, Probability & Statistics, Data Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      713 reviews

      Intermediate · Specialization · 3 - 6 Months

    Searches related to statistics

    statistics for data science
    statistics for data analysis
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    statistics with python
    statistics in psychological research
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    1…323334…112

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

    • Psychological Research: American Psychological Association
    • Doing More with SAS Programming: SAS
    • Image Processing for Engineering and Science: MathWorks
    • Introduction to R Programming for Data Science: IBM
    • Foundations of strategic business analytics: ESSEC Business School
    • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • IBM AI Enterprise Workflow: IBM
    • Hypothesis Testing in Public Health : Johns Hopkins University
    • Generative AI: Elevate Your Data Science Career: IBM

    Why Learn Statistics?

    Statistics is the science of collecting, analyzing, and interpreting data to uncover patterns and inform decisions. It’s essential in fields like business, healthcare, social science, and data analytics. Learning statistics can help you make sense of data, support evidence-based thinking, and contribute to smarter outcomes in any field.

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