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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

    • C

      Coursera Instructor Network

      Data Science for Professionals

      Skills you'll gain: Predictive Modeling, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Data Visualization Software, Statistics, Data Cleansing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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

    • P

      Packt

      Alteryx for Beginners

      Skills you'll gain: Alteryx, Spatial Data Analysis, Spatial Analysis, Data Transformation, Data Cleansing, Data Import/Export, Data Presentation, Data Manipulation, Geographic Information Systems, Data Wrangling, Data Visualization Software, Data Mapping, Data Analysis, Data Integration, Text Mining, File Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Demand Forecasting Using Time Series

      Skills you'll gain: Time Series Analysis and Forecasting, Demand Planning, Trend Analysis, Data Visualization, Customer Demand Planning, Regression Analysis, Matplotlib, Forecasting, Predictive Modeling, Supply Chain Management, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Statistical Modeling

      3.4
      Rating, 3.4 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      Affiliate Marketing Course

      Skills you'll gain: Promotional Strategies, Marketing Channel, Email Marketing, Product Promotion, Content Marketing, Marketing Strategies, Social Media Marketing, Marketing, Blogs, Strategic Partnership, Trend Analysis, Performance Analysis, Marketing Analytics, Web Analytics and SEO, Market Trend, Relationship Building

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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
      ·
      16 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      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

    • G

      Genentech

      Data Sciences in Pharma - Patient Centered Outcomes Research

      Skills you'll gain: Clinical Trials, Clinical Research, Pharmaceuticals, Patient Evaluation, Quantitative Research, Patient Safety, Medical Science and Research, Data Analysis, Statistical Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      Data-Oriented Python Programming and Debugging

      Skills you'll gain: Debugging, NumPy, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Pandas (Python Package), Data Structures, Probability & Statistics, Statistical Methods, Probability, Statistics, Probability Distribution, Statistical Analysis, Data Analysis, Program Development, Large Language Modeling, Data Manipulation, Programming Principles, Computer Programming, Python Programming

      Intermediate · Specialization · 3 - 6 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

    • 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

    Searches related to statistics

    statistics with python
    statistics for data science
    statistics with r
    statistics for data analysis
    statistics for data science with python
    statistics in psychological research
    statistics for business
    statistics foundations
    1…565758…106

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

    • Data Science for Professionals: Coursera Instructor Network
    • The Control Phase for the 6 σ Black Belt: Kennesaw State University
    • Alteryx for Beginners: Packt
    • Demand Forecasting Using Time Series: LearnQuest
    • Affiliate Marketing Course: Simplilearn
    • ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization: SkillUp EdTech
    • Fundamentals of Data Analysis: LearnQuest
    • Data Sciences in Pharma - Patient Centered Outcomes Research: Genentech
    • Planification des mobilités: École Polytechnique Fédérale de Lausanne
    • Data-Oriented Python Programming and Debugging: University of Michigan

    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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