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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
      F

      Fundação Instituto de Administração

      Participação das Mulheres na Sociedade e nas Organizações

      Skills you'll gain: Sociology, Organizational Structure, Socioeconomics, Cultural Diversity, Social Studies, Diversity and Inclusion, World History, Human Resource Policies, Economics, Empowerment, Leadership, Trend Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Interactive Brokers

      Introduction to Momentum Investing

      Skills you'll gain: Market Trend, Technical Analysis, Risk Management, Market Data, Trend Analysis, Investment Management, Investments, Financial Trading, Portfolio Management, Equities

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Muestreo de personas, redes y registros

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Statistical Methods, Quantitative Research, Statistics, Probability & Statistics, Research Design, Statistical Software, Network Analysis

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Evolución: Teoría sintética

      Skills you'll gain: Biology, Life Sciences, World History, Social Studies, Deductive Reasoning, Mathematical Modeling, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Python: de explorador de datos a analista

      Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Analysis, Data Science, Python Programming, Jupyter, Matplotlib, Software Installation, Data Manipulation, Scripting, Package and Software Management, Development Environment

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      데이터 과학자의 도구 상자

      Skills you'll gain: Rmarkdown, Data Science, GitHub, Data Literacy, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Quality, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Linear Regression Modeling for Health Data

      Skills you'll gain: Statistical Modeling, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing, Predictive Modeling

      Intermediate · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Data Visualization with Python & R for Engineers

      Skills you'll gain: Data Storytelling, Statistical Visualization, Data-Driven Decision-Making, Data Visualization Software, Data Mining, Exploratory Data Analysis, Data Cleansing, Data Manipulation, Graphing, Big Data, Data Transformation, Programming Principles, Python Programming, Data Structures, Scripting

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fred Hutchinson Cancer Center

      Researcher's guide to DNA sequencing data

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Collection, Data Processing, Science and Research, Exploratory Data Analysis, Analysis, Research Methodologies, Research Design

      3.5
      Rating, 3.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      ML Parameters Optimization: GridSearch, Bayesian, Random

      Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Bayesian Statistics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Practical Data Wrangling with Pandas

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Pandas (Python Package), Data Visualization, Descriptive Statistics, Data Manipulation, Data Transformation, Data Analysis, Statistics, Statistical Analysis

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      R

      Radio y Televisión Española

      Búsqueda avanzada y verificación de información

      Skills you'll gain: Image Analysis, Research, Information Architecture, Investigation, Trend Analysis, Verification And Validation, Facebook, Data Validation, Content Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to statistics

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    1…838485…106

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

    • Participação das Mulheres na Sociedade e nas Organizações: Fundação Instituto de Administração
    • Introduction to Momentum Investing: Interactive Brokers
    • Muestreo de personas, redes y registros: University of Michigan
    • Evolución: Teoría sintética: Universidad Nacional Autónoma de México
    • Python: de explorador de datos a analista: Universidad Nacional Autónoma de México
    • 데이터 과학자의 도구 상자: Johns Hopkins University
    • Linear Regression Modeling for Health Data: University of Michigan
    • Data Visualization with Python & R for Engineers: Northeastern University
    • Researcher's guide to DNA sequencing data: Fred Hutchinson Cancer Center
    • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network

    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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