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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


  • C

    Coursera

    Using Descriptive Statistics to Analyze Data in R

    Skills you'll gain: Descriptive Statistics, Statistical Programming, R Programming, R (Software), Statistical Reporting, Data Quality, Data Preprocessing, Data Cleansing, Statistics, Data Processing, Statistical Methods, Statistical Software, Data Analysis Software, Statistical Analysis, Data Import/Export

    ★ 4.6 (93) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    Inferential Statistical Analysis with Python

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Probability & Statistics, Data-Driven Decision-Making, Statistical Analysis, Sampling (Statistics), Jupyter, Analysis, Statistical Programming, Statistical Software, Python Programming

    ★ 4.6 (936) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Houston

    Math behind Moneyball

    Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Statistical Modeling, Advanced Analytics, Data-Driven Decision-Making, Data Analysis, Analytics, Data Analysis Software, Simulations, Probability

    ★ 4.5 (97) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Resampling, Selection and Splines

    Skills you'll gain: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Inference, Machine Learning Methods, Statistics, Model Optimization, Applied Mathematics

    ★ 5 (8) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • I

    IBM

    Applied Data Science

    Skills you'll gain: Data Storytelling, Dashboard Creation, Data Presentation, Data Wrangling, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Dashboard, Interactive Data Visualization, Data Analysis, Data Import/Export, Model Evaluation, Data Manipulation, Data Science, Python Programming, NumPy, Machine Learning

    ★ 4.6 (62K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Colorado Boulder

    Regression and Classification

    Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Model Evaluation, Regression Analysis, Predictive Modeling, R Programming, Statistical Inference, Logistic Regression, Model Training, Machine Learning, Classification Algorithms, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms

    ★ 3.9 (16) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of California, Santa Cruz

    Bayesian Statistics: Capstone Project

    Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, Statistical Reporting, R Programming, Statistical Analysis, Statistical Modeling, Statistical Programming, Data Analysis, Time Series Analysis and Forecasting, R (Software), Markov Model, Statistical Methods, Statistical Inference, Sampling (Statistics), Simulations, Model Evaluation, Probability Distribution

    ★ 4.5 (10) · Advanced · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Full-Stack Web Development, Software Design, Flask (Web Framework), Version Control, File Management, Unix Shell, Web Design and Development, Linux, Application Deployment, Python Programming, NumPy, Data Analysis

    ★ 4.6 (52K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Advanced Quantitative Statistics with Excel

    Skills you'll gain: Regression Analysis, Microsoft Excel, Statistical Hypothesis Testing, Data-Driven Decision-Making, Data Visualization, Business Analysis, Statistical Analysis, Statistical Methods, Spreadsheet Software, Data Analysis, Correlation Analysis, Case Studies, Statistical Modeling, Statistical Inference, Probability & Statistics, Variance Analysis, Data Manipulation

    ★ 4.8 (14) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of London

    Statistics and Clustering in Python

    Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Applied Machine Learning, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Plot (Graphics), Data Processing, Data Visualization Software, Python Programming, Machine Learning

    ★ 4.6 (21) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Geneva

    Global Statistics - Composite Indices for International Comparisons

    Skills you'll gain: Analysis, Data Synthesis, Data Compilation, Data Literacy, Analytical Skills, Key Performance Indicators (KPIs), Correlation Analysis, Statistical Methods, International Relations, Statistics, Economics, Market Opportunities, Economics, Policy, and Social Studies, Data Analysis, Data Collection, Social Studies, Data Quality, Data Transformation, Job Analysis, Human Development

    ★ 4.6 (50) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • I

    Illinois Tech

    Statistical Learning

    Skills you'll gain: Statistical Analysis, Data Analysis, Data Science, Statistical Programming, Statistical Methods, Statistical Machine Learning, Statistical Modeling, Applied Machine Learning, Model Evaluation, Regression Analysis, Statistics, Machine Learning Methods, Machine Learning Algorithms, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Logistic Regression

    ★ 4.6 (9) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
1…91011…145

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

  • Using Descriptive Statistics to Analyze Data in R: Coursera
  • Inferential Statistical Analysis with Python: University of Michigan
  • Math behind Moneyball: University of Houston
  • Resampling, Selection and Splines: University of Colorado Boulder
  • Applied Data Science: IBM
  • Regression and Classification: University of Colorado Boulder
  • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
  • Applied Software Engineering Fundamentals: IBM
  • Advanced Quantitative Statistics with Excel: Coursera
  • Statistics and Clustering in Python: University of London

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