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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
      J

      Johns Hopkins University

      Summary Statistics in Public Health

      Skills you'll gain: Biostatistics, Descriptive Statistics, Histogram, Statistical Visualization, Box Plots, Quantitative Research, Statistical Methods, Statistics, Probability & Statistics, Public Health, Time Series Analysis and Forecasting, Research Design

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Data Integrity, Data Quality, Sampling (Statistics), Data Transformation, Data Validation, Data Wrangling, Data Manipulation, Data Analysis, SQL, Sample Size Determination, Exploratory Data Analysis, Spreadsheet Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      S

      SAS

      Statistics with SAS

      Skills you'll gain: SAS (Software), Statistical Hypothesis Testing, Statistical Software, Statistical Analysis, Predictive Modeling, Statistical Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Probability & Statistics, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      297 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Data Analysis with Excel, Part 2

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Analysis, Sample Size Determination, Statistical Methods, Microsoft Excel, Statistical Modeling, Probability & Statistics, Data Analysis, Statistical Inference

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Mixture Models

      Skills you'll gain: R Programming, Statistical Modeling, Markov Model, Bayesian Statistics, Statistical Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Probability & Statistics, Simulations, Sampling (Statistics)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      62 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      What are the Chances? Probability and Uncertainty in Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistics, Regression Analysis, Statistical Methods, Probability, Statistical Analysis, Statistical Inference, Probability Distribution, Sampling (Statistics), Combinatorics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      S

      Stanford University

      Game Theory

      Skills you'll gain: Game Theory, Strategic Decision-Making, Mathematical Modeling, Mathematical Theory & Analysis, Probability, Bayesian Statistics, Behavioral Economics, Problem Solving, Social Sciences

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

      Beginner · Course · 1 - 3 Months

    • U

      University of Leeds

      Master of Science in Data Science (Statistics)

      Skills you'll gain: Statistical Hypothesis Testing, Regression Analysis, Statistical Machine Learning, Statistical Methods, Classification And Regression Tree (CART), Network Analysis, Planning, Applied Machine Learning, R Programming, Statistical Analysis, Data Analysis, Unsupervised Learning, Data Visualization Software, Algorithms, Supervised Learning, Probability, Statistical Modeling, Linear Algebra, Bayesian Statistics, Artificial Intelligence and Machine Learning (AI/ML)

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Statistical Analysis and Advanced Techniques

      Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Analysis, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Statistical Methods, R Programming, Data Presentation, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Descriptive Statistics, Forecasting, Generative AI

      Beginner · Course · 1 - 3 Months

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

      IBM

      IBM Systems Analyst

      Skills you'll gain: Requirements Elicitation, Business Process Modeling, Data Storytelling, Business Analysis, Stakeholder Management, Systems Analysis, Systems Design, Pivot Tables And Charts, Process Mapping, Requirements Management, Stakeholder Engagement, Dashboard, Requirements Analysis, Computer Systems, Process Flow Diagrams, Software Testing, Cloud Computing, Application Deployment, Agile Methodology, Database Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      R Programming

      Skills you'll gain: R Programming, Software Installation, Statistical Programming, Programming Principles, Performance Tuning, Simulations, Debugging, Scripting, Data Manipulation, Statistical Analysis, Data Analysis, Data Structures

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22K reviews

      Intermediate · Course · 1 - 4 Weeks

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

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Data Visualization, Data Wrangling, SQL, Extract, Transform, Load, Pivot Tables And Charts, Matplotlib, Exploratory Data Analysis, Predictive Modeling, Relational Databases, Data Analysis, Data Visualization Software, Data Cleansing, Data Ethics, Dashboard, Jupyter, IBM Cognos Analytics, Microsoft Excel, Python Programming, Interviewing Skills

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      94K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Searches related to statistics

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

    • Summary Statistics in Public Health : Johns Hopkins University
    • Process Data from Dirty to Clean: Google
    • Statistics with SAS: SAS
    • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
    • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
    • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
    • Game Theory: Stanford University
    • Master of Science in Data Science (Statistics): University of Leeds
    • Statistical Analysis and Advanced Techniques: Microsoft
    • IBM Systems Analyst: 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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