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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
      U

      University of Colorado System

      Data Analysis and Representation, Selection and Iteration

      Skills you'll gain: Computational Thinking, Data Analysis, C (Programming Language), Statistical Analysis, Programming Principles, Data Structures, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      93 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Social Media Analytics

      Skills you'll gain: Network Analysis, Data Visualization, Graph Theory, Relational Databases, Data Visualization Software, Data Storytelling, Data Analysis, Data Literacy, Social Sciences, Statistical Analysis, Machine Learning, R Programming, Analytical Skills, Data Manipulation, Facebook, Sociology, Natural Language Processing, Text Mining, Analytics, Trend Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Foundational Mathematics for AI

      Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction, Correlation Analysis

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Foundations of Digital Marketing

      Skills you'll gain: Search Engine Marketing, Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Web Analytics, Web Analytics and SEO, Online Advertising, Data Presentation, Data Visualization, Analytics, Digital Marketing, Keyword Research, Apache Hadoop, Data-Driven Decision-Making, Digital Advertising, Return On Investment, A/B Testing, Advertising, Marketing Automation, Marketing Strategies

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Predicción de Ventas Pronosticando Tendencias

      Skills you'll gain: Forecasting, Trend Analysis, Spreadsheet Software, Predictive Analytics, Regression Analysis, Time Series Analysis and Forecasting, Data Visualization, Statistical Methods, Statistical Analysis, Plot (Graphics), Data-Driven Decision-Making, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      110 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      T

      Tsinghua University

      Data Structures and Algorithms (I)

      Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Spatial Analysis, Computational Thinking, Computational Logic, Computer Programming

      3.1
      Rating, 3.1 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Instituto Tecnológico de Aeronáutica

      Controle a Tempo Discreto

      Skills you'll gain: Control Systems, Engineering Calculations, Automation Engineering, Simulation and Simulation Software, Computational Logic, Matlab, Process Control, Sampling (Statistics), Embedded Systems, Engineering Analysis, System Requirements, Electrical and Computer Engineering, Mathematical Modeling, System Design and Implementation, Digital Design, Performance Testing, Simulations, Differential Equations, Estimation, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      ¿Qué hacer con tu estrategia digital en tiempos de cambio?

      Skills you'll gain: Customer Engagement, Target Market, Digital Advertising, Customer Retention, Customer Relationship Building, Search Engine Optimization, Digital Media Strategy, Lead Generation, Digital Marketing, Marketing Strategies, Customer Acquisition Management, Customer experience improvement, Cash Flows, Marketing Communications, Web Analytics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      112 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Data Analysis in R with RStudio & Tidyverse

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Regression Modeling Fundamentals

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Science Methods for Quality Improvement

      Skills you'll gain: Process Capability, Statistical Inference, Correlation Analysis, Probability Distribution, Statistical Analysis, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Statistical Process Controls, Statistics, Data Visualization, Probability & Statistics, Statistical Hypothesis Testing, Data Analysis, Scientific Visualization, Systems Analysis, Data Literacy, Data Analysis Software, R Programming, Quality Control

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      49 reviews

      Intermediate · Specialization · 3 - 6 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Systèmes d’Information Géographique - Partie 2

      Skills you'll gain: GIS Software, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Augmented Reality, Data Mapping, Color Theory, Data Processing, Database Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      43 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to statistics

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    1…626364…107

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

    • Data Analysis and Representation, Selection and Iteration: University of Colorado System
    • Social Media Analytics: Johns Hopkins University
    • Foundational Mathematics for AI: Johns Hopkins University
    • Foundations of Digital Marketing: University of Maryland, College Park
    • Predicción de Ventas Pronosticando Tendencias : Coursera Project Network
    • Data Structures and Algorithms (I): Tsinghua University
    • Controle a Tempo Discreto: Instituto Tecnológico de Aeronáutica
    • ¿Qué hacer con tu estrategia digital en tiempos de cambio?: Tecnológico de Monterrey
    • Data Analysis in R with RStudio & Tidyverse: Codio
    • Regression Modeling Fundamentals: SAS

    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.

    Frequently Asked Questions about Statistics

    Top statistics courses include Introduction to Statistics from Stanford University, Business Statistics and Analysis from Rice University, and Statistics with Python from the University of Michigan. These courses cover descriptive statistics, probability, hypothesis testing, and statistical modeling.‎

    Yes. Many statistics courses offer a free audit option, allowing you to access video lessons and reading materials without payment. If you want to complete assignments or earn a certificate, you’ll need to pay or apply for financial aid.‎

    You’ll learn how to collect, interpret, and present data; calculate key metrics like mean and standard deviation; and apply statistical techniques such as regression analysis, probability distributions, and confidence intervals. Some courses also include hands-on practice with Excel, R, or Python.‎

    Not necessarily. Many Coursera statistics courses are designed for beginners and explain core concepts step by step. Some basic comfort with numbers is helpful, but you don’t need advanced math experience to get started.‎

    Yes. Statistics is essential in fields like business, healthcare, data science, psychology, and research. Learning statistics on Coursera can help you analyze data, make informed decisions, and gain skills that are valuable in both academic and professional settings.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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