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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 Boulder

      Data Processing and Manipulation

      Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Processing, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Feature Engineering, Sampling (Statistics), Exploratory Data Analysis, Statistical Methods

      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
      U

      University of Michigan

      Logistic Regression and Prediction for Health Data

      Skills you'll gain: Statistical Inference, Predictive Analytics, R Programming, Probability & Statistics, Statistical Modeling, Classification And Regression Tree (CART), Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Risk Analysis, Descriptive Statistics

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Preparation with Alteryx: Automating Analytics

      Skills you'll gain: Data Cleansing, Data Transformation, Alteryx, Data Manipulation, Data Import/Export, Data Processing, Data Visualization, Automation, Exploratory Data Analysis, Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      The DMAIC Framework - Define and Measure Phase

      Skills you'll gain: Process Capability, Statistical Analysis, Data Analysis, Project Management, Six Sigma Methodology, Statistics, Work Breakdown Structure, Lean Six Sigma, Process Analysis, Data Collection, Project Scoping, Performance Measurement, Customer experience improvement, Quality Improvement, Quality Control

      Beginner · Course · 1 - 3 Months

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

      University of Maryland, College Park

      Digital Marketing Analytics

      Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Web Analytics, Search Engine Optimization, Analytics, Search Engine Marketing, Keyword Research, Digital Marketing, Data-Driven Decision-Making, A/B Testing, Marketing Effectiveness, Online Advertising, Big Data, Customer Analysis, Key Performance Indicators (KPIs), Predictive Analytics, Artificial Intelligence and Machine Learning (AI/ML)

      Beginner · 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

    • J

      Johns Hopkins University

      Investigating Epidemics like COVID-19: An Analyst's Guide

      Skills you'll gain: Epidemiology, Health Disparities, Data Visualization, Public Health, Spatial Analysis, Public Health and Disease Prevention, Geographic Information Systems, Data Analysis, Statistical Analysis, Infectious Diseases, Risk Analysis, Microsoft Excel

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Visualizing Data & Communicating Results in R with RStudio

      Skills you'll gain: Rmarkdown, Ggplot2, Statistical Visualization, Box Plots, Scatter Plots, Data Visualization, Histogram, Descriptive Statistics, Data Visualization Software, R Programming

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      OpenAI: Consistent Response Strategies

      Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, Generative AI, Technical Communication, Sampling (Statistics), Natural Language Processing, Performance Tuning

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Conducting Exploratory Data Analysis

      Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, Data Analysis, Box Plots, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      SAS

      Data Literacy in Practice

      Skills you'll gain: Exploratory Data Analysis, Data Literacy, Data Storytelling, Data Analysis, Data Cleansing, Data Manipulation, Scatter Plots, Technical Communication, Histogram

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…848586…107

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

    • Data Processing and Manipulation: University of Colorado Boulder
    • Data Visualization with Python & R for Engineers: Northeastern University
    • Logistic Regression and Prediction for Health Data: University of Michigan
    • Data Preparation with Alteryx: Automating Analytics: Coursera Project Network
    • The DMAIC Framework - Define and Measure Phase: SkillUp EdTech
    • Digital Marketing Analytics: University of Maryland, College Park
    • Researcher's guide to DNA sequencing data: Fred Hutchinson Cancer Center
    • Investigating Epidemics like COVID-19: An Analyst's Guide: Johns Hopkins University
    • Visualizing Data & Communicating Results in R with RStudio: Codio
    • OpenAI: Consistent Response Strategies: Coursera Instructor 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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