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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
      M

      Macquarie University

      Excel Regression Models for Business Forecasting

      Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Business Mathematics, Microsoft Excel, Statistical Modeling, Trend Analysis, Statistical Analysis, Data Visualization Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      109 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to R Programming and Tidyverse

      Skills you'll gain: Rmarkdown, Ggplot2, Tidyverse (R Package), R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Statistical Reporting, Data Analysis, Data Wrangling, Software Installation, Debugging

      4.2
      Rating, 4.2 out of 5 stars
      ·
      47 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica del Perú

      Analítica y ciencia de datos para negocios

      Skills you'll gain: Data Transformation, Business Analytics, Anomaly Detection, Analytics, Data Cleansing, R Programming, Data Analysis, Project Management Life Cycle, Data Science, Business Intelligence, Data Quality, Exploratory Data Analysis, Dimensionality Reduction, Data Validation, Package and Software Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Precalculus: Mathematical Modeling

      Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Correlation Analysis, Regression Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      89 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      New York University

      Climate Change and Human Rights

      Skills you'll gain: Environmental Issue, Environmental Policy, Social Justice, Case Law, Environmental Laws, Advocacy, Legal Proceedings, Legal Strategy, Trend Analysis, Governance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      670 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Peking University

      离散数学概论 Discrete Mathematics Generality

      Skills you'll gain: Computational Logic, Theoretical Computer Science, Graph Theory, Logical Reasoning, Geospatial Information and Technology, Deductive Reasoning, Computational Thinking, Mathematics and Mathematical Modeling, Combinatorics, Spatial Analysis, Algebra, General Mathematics, Computer Science, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      279 reviews

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Machine Learning Algorithms: Supervised Learning Tip to Tail

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Jupyter, Machine Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      413 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization

      3.6
      Rating, 3.6 out of 5 stars
      ·
      48 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Practicing for the SAS Programming Certification Exam

      Skills you'll gain: SAS (Software), Data Analysis, Requirements Analysis, Exploratory Data Analysis, Statistical Programming, Statistical Analysis, Data Manipulation, Data Cleansing, Data Transformation, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      94 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      E-Marketing

      Skills you'll gain: Pay Per Click Advertising, Search Engine Marketing, Customer Retention, Persona Development, Digital Marketing, Marketing Analytics, Search Engine Optimization, Key Performance Indicators (KPIs), Target Audience, Keyword Research, Social Media Strategy, Marketing Effectiveness, Customer Acquisition Management, Customer experience improvement, Marketing Strategy and Techniques, Customer Engagement, A/B Testing, Web Analytics, Marketing Strategies, Google Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      387 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Mining Methods

      Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Big Data, Supervised Learning, Machine Learning Methods, Text Mining, Classification And Regression Tree (CART), Unstructured Data, Data Analysis, Anomaly Detection, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Statistical Analysis, Predictive Modeling, Exploratory Data Analysis, Algorithms, Artificial Neural Networks

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      58 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Data Analysis and Reporting in SAS Visual Analytics

      Skills you'll gain: Trend Analysis, Data Manipulation, Data Analysis, SAS (Software), Exploratory Data Analysis, Data Visualization, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Visualization Software, Data Presentation, Business Reporting, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      357 reviews

      Mixed · Course · 1 - 4 Weeks

    Searches related to statistics

    statistics with python
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    statistics with r
    statistics in psychological research
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    statistics for data science with python
    statistics and data analysis with excel, part 1
    1…505152…107

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

    • Excel Regression Models for Business Forecasting: Macquarie University
    • Introduction to R Programming and Tidyverse: University of Colorado Boulder
    • Analítica y ciencia de datos para negocios: Pontificia Universidad Católica del Perú
    • Precalculus: Mathematical Modeling: Johns Hopkins University
    • Climate Change and Human Rights: New York University
    • 离散数学概论 Discrete Mathematics Generality: Peking University
    • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
    • Practicing for the SAS Programming Certification Exam: SAS
    • E-Marketing: University of California, Irvine

    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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