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    Results for "statistics"

    • University of Toronto

      GIS, Mapping, and Spatial Analysis Capstone

      Skills you'll gain: Spatial Analysis, Geographic Information Systems, Geospatial Mapping, ArcGIS, Data Visualization, Data Compilation, Data Mapping, Data Storytelling, Metadata Management, Data Integration, Data Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      311 reviews

      Beginner · Course · 1 - 3 Months

    • University of Michigan

      The Influence of Social Determinants on Health

      Skills you'll gain: Health Disparities, Health Equity, Community Health, Public Health, Health Policy, Health Assessment, Social Justice, Epidemiology, Socioeconomics, Health Systems, Health Care, Stress Management, Social Sciences, Cultural Diversity, Mental and Behavioral Health, Data Collection, Culture, Sociology, Psychology, Public Policies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Beginner · Specialization · 1 - 3 Months

    • EDHEC Business School

      Python and Machine-Learning for Asset Management with Alternative Data Sets

      Skills you'll gain: Text Mining, Network Analysis, Data Visualization Software, Machine Learning Methods, Financial Data, Unstructured Data, Predictive Modeling, Web Scraping, Advanced Analytics, Financial Statements, Financial Market, Financial Analysis, Asset Management, Python Programming, Investment Management, Data Analysis, Risk Analysis, Consumer Behaviour

      4.4
      Rating, 4.4 out of 5 stars
      ·
      231 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Minnesota

      Analytics for Decision Making

      Skills you'll gain: Time Series Analysis and Forecasting, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Business Modeling, Business Analytics, Analytics, Regression Analysis, Microsoft Excel, Forecasting, Data Modeling, Process Optimization, Data-Driven Decision-Making, Statistics, Business Mathematics, Manufacturing Operations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      260 reviews

      Beginner · Specialization · 3 - 6 Months

    • Wesleyan University

      Data Management and Visualization

      Skills you'll gain: Descriptive Statistics, Data Manipulation, Data Presentation, Data Management, Data Literacy, Graphing, SAS (Software), Peer Review, Data Analysis, Statistics, Research Reports, Exploratory Data Analysis, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      937 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free

      Coursera Project Network

      Introduction to Business Analysis Using Spreadsheets: Basics

      Skills you'll gain: Google Sheets, Spreadsheet Software, Data Presentation, Statistical Visualization, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Excel Formulas, Data Cleansing, Mathematical Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      999 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • DeepLearning.AI

      AI and Climate Change

      Skills you'll gain: Image Analysis, Environmental Monitoring, Artificial Intelligence, Deep Learning, Data Processing, Forecasting, Machine Learning, Computer Vision, Environmental Science, Exploratory Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      119 reviews

      Beginner · Course · 1 - 4 Weeks

    • Universidad de los Andes

      Fundamentos de estadística aplicada

      Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      134 reviews

      Intermediate · Course · 1 - 3 Months

    • Tableau Learning Partner

      Data Analysis with Tableau

      Skills you'll gain: Exploratory Data Analysis, Tableau Software, Statistical Visualization, Data Analysis, Descriptive Statistics, Predictive Analytics, Data Processing, Box Plots, Statistical Analysis, Data Cleansing, Scatter Plots, Data Visualization Software, Trend Analysis, Histogram, Data Manipulation, Regression Analysis, Correlation Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      88 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Michigan

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

      Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      186 reviews

      Intermediate · Course · 1 - 3 Months

    • University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Classification And Regression Tree (CART), Python Programming, Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      75 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      École Polytechnique Fédérale de Lausanne

      Geographical Information Systems - Part 1

      Skills you'll gain: Geographic Information Systems, GIS Software, Spatial Data Analysis, Spatial Analysis, NoSQL, Data Modeling, Global Positioning Systems, Databases, SQL, Data Storage, Relational Databases

      3.5
      Rating, 3.5 out of 5 stars
      ·
      94 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to statistics

    statistics with r
    statistics for data science
    statistics with python
    statistics for data science with python
    statistics and data analysis with r
    statistics foundations
    statistics and data analysis with excel, part 1
    statistics for data science essentials
    1…343536…106

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

    • GIS, Mapping, and Spatial Analysis Capstone: University of Toronto
    • The Influence of Social Determinants on Health: University of Michigan
    • Python and Machine-Learning for Asset Management with Alternative Data Sets: EDHEC Business School
    • Analytics for Decision Making: University of Minnesota
    • Data Management and Visualization: Wesleyan University
    • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera Project Network
    • AI and Climate Change: DeepLearning.AI
    • Fundamentos de estadística aplicada: Universidad de los Andes
    • Data Analysis with Tableau: Tableau Learning Partner
    • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan

    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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