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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

    • K

      Kennesaw State University

      The Control Phase for the 6 σ Black Belt

      Skills you'll gain: Statistical Process Controls, Lean Six Sigma, Six Sigma Methodology, Lean Manufacturing, Process Improvement, Process Capability, Quality Improvement, Continuous Improvement Process, Process Analysis, Variance Analysis, Facility Repair And Maintenance, Document Management, Training Programs

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Mixed · Course · 1 - 3 Months

    • L

      LearnQuest

      Fundamentals of Data Analysis

      Skills you'll gain: Data Analysis, Analytics, Statistical Analysis, Data Mining, Spreadsheet Software, Exploratory Data Analysis, Descriptive Analytics, Quantitative Research, Data Cleansing, Data Processing, Data Collection, Advanced Analytics, Statistics, Predictive Analytics, Data Presentation, Regression Analysis, Data Visualization, SQL

      3.7
      Rating, 3.7 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of London

      Working with Objects in C++

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Debugging, Test Data, Data Validation, Unit Testing, Algorithms, Statistical Programming, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      É

      École Polytechnique Fédérale de Lausanne

      Planification des mobilités

      Skills you'll gain: Transportation Operations, Community Development, Policy Development, Strategic Prioritization, Forecasting, Economic Development, Spatial Analysis, Policy Analysis, Needs Assessment, Public Policies, Trend Analysis, Stakeholder Engagement, Sociology, Environmental Issue, Qualitative Research

      4.3
      Rating, 4.3 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Алгоритмы, часть I

      Skills you'll gain: Data Structures, Algorithms, Java, Computer Programming, Object Oriented Programming (OOP), Theoretical Computer Science, Spatial Analysis, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      81 reviews

      Intermediate · Course · 3 - 6 Months

    • F

      Fred Hutchinson Cancer Center

      Researcher's Guide to Omic Data

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Research Design, Exploratory Data Analysis, Metadata Management, Experimentation, Science and Research, R Programming, Scientific Methods, Spatial Analysis, Data Collection, Data Quality, Data Validation, Quantitative Research, Biology, Qualitative Research, Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      22 reviews

      Intermediate · Specialization · 3 - 6 Months

    • S

      SkillUp EdTech

      ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization

      Skills you'll gain: Process Mapping, Root Cause Analysis, Lean Six Sigma, Lean Methodologies, Correlation Analysis, Process Improvement, Quality Improvement, Lean Manufacturing, Six Sigma Methodology, Regression Analysis, Statistical Methods, Statistics, Continuous Improvement Process, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Probability & Statistics, Process Optimization, Process Management, Risk Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Advanced Probability and Statistical Methods

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistical Modeling, Statistics, Statistical Inference, Probability, R Programming, Applied Mathematics

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Machine Learning with PySpark: Customer Churn Analysis

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      T

      The Chinese University of Hong Kong

      Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话)

      Skills you'll gain: SPSS, Social Sciences, Statistical Modeling, Quantitative Research, Statistical Methods, Statistical Analysis, Correlation Analysis, Data Analysis Software, Sociology, Mathematical Modeling, Regression Analysis, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      93 reviews

      Mixed · Course · 3 - 6 Months

    • Status: Free
      Free
      P

      Pontificia Universidad Católica del Perú

      Comportamiento del Consumidor Digital

      Skills you'll gain: Consumer Behaviour, Business-To-Consumer, Data Collection, Target Market, Market Share, Market Research, Customer Insights, Digital Marketing, Business Ethics, Web Analytics, Technical Communication, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Alberta Machine Intelligence Institute

      Data for Machine Learning

      Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Exploratory Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…565758…107

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

    • The Control Phase for the 6 σ Black Belt: Kennesaw State University
    • Fundamentals of Data Analysis: LearnQuest
    • Working with Objects in C++: University of London
    • Planification des mobilités: École Polytechnique Fédérale de Lausanne
    • Алгоритмы, часть I: Princeton University
    • Researcher's Guide to Omic Data: Fred Hutchinson Cancer Center
    • ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization: SkillUp EdTech
    • Advanced Probability and Statistical Methods: Johns Hopkins University
    • Machine Learning with PySpark: Customer Churn Analysis: Coursera Project Network
    • Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话): The Chinese University of Hong Kong

    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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