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    • Statistics

    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: New
      New
      P

      Packt

      The Complete Product Management Fundamentals

      Skills you'll gain: Agile Methodology, Wireframing, Agile Product Development, Product Management, Product Roadmaps, Project Management Software, Product Improvement, A/B Testing, Product Development, Sprint Planning, Web Analytics, Kanban Principles, User Feedback, Microsoft Teams

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Machine Learning in Retail

      Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Scikit Learn (Machine Learning Library), Retail Store Operations, Machine Learning, Histogram, Pandas (Python Package), Jupyter, Matplotlib

      Intermediate · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Geographical Information Systems - Part 2

      Skills you'll gain: Spatial Analysis, Spatial Data Analysis, GIS Software, Geographic Information Systems, Geospatial Mapping, Geostatistics, Interactive Data Visualization, Data Integration, Data Mapping, Augmented Reality, Sampling (Statistics)

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Data Augmented Technology Assisted Medical Decision Making

      Skills you'll gain: Healthcare Ethics, Statistical Methods, Health Care Procedure and Regulation, Patient Evaluation, Clinical Research, Data Ethics, Probability & Statistics, Health Technology, Health Informatics, Health Policy, Medical Equipment and Technology, Artificial Intelligence and Machine Learning (AI/ML)

      Beginner · Course · 1 - 4 Weeks

    • 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: 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

    • 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

    • I

      Institut Mines-Télécom

      Traitement d'images : introduction au filtrage

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Python Programming, Computer Programming, Medical Imaging, Mathematical Theory & Analysis, Plot (Graphics), Applied Mathematics, Probability & Statistics

      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
      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

    • 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

    • 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

    Searches related to statistics

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    1…848586…106

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

    • The Complete Product Management Fundamentals: Packt
    • Machine Learning in Retail: Coursera Project Network
    • Geographical Information Systems - Part 2: École Polytechnique Fédérale de Lausanne
    • Data Augmented Technology Assisted Medical Decision Making : University of Michigan
    • The DMAIC Framework - Define and Measure Phase: SkillUp EdTech
    • Data Processing and Manipulation: University of Colorado Boulder
    • Visualizing Data & Communicating Results in R with RStudio: Codio
    • Traitement d'images : introduction au filtrage: Institut Mines-Télécom
    • Investigating Epidemics like COVID-19: An Analyst's Guide: Johns Hopkins University
    • Logistic Regression and Prediction for Health Data: 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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