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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 Project Network

      Diabetes Disease Detection with XG-Boost and Neural Networks

      Skills you'll gain: Artificial Neural Networks, Exploratory Data Analysis, Applied Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • É

      École Polytechnique Fédérale de Lausanne

      Villes africaines: Mobilités et transports urbains

      Skills you'll gain: Transportation Operations, Demography, Economic Development, Community Development, Public Policies, Social Sciences, Policy Analysis, Economics, Policy, and Social Studies, Spatial Analysis, Socioeconomics, Sociology, Environmental Policy, Governance, Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      19 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Marketing Analytics Capstone Project

      Skills you'll gain: Marketing Analytics, Exploratory Data Analysis, Predictive Modeling, Analytical Skills, Business Analytics, Regression Analysis, Data Analysis, Data Validation, Data Visualization

      4.5
      Rating, 4.5 out of 5 stars
      ·
      29 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Demand Planning in RStudio: Create Demand Forecast

      Skills you'll gain: Demand Planning, Supply Chain Planning, Production Planning, Forecasting, Time Series Analysis and Forecasting, Trend Analysis, Inventory Management System, Plot (Graphics), R Programming, Data Visualization, Statistical Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • B

      Ball State University

      Statistical Methods for Data Science

      Skills you'll gain: Statistical Inference, Probability, Statistics, Statistical Methods, Statistical Modeling, Probability Distribution, Statistical Hypothesis Testing, Bayesian Statistics, Statistical Analysis, Data Science, R Programming, Sampling (Statistics), Simulations, Descriptive Statistics

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Getting Started with CyberGIS

      Skills you'll gain: Geospatial Information and Technology, Geographic Information Systems, Apache Hadoop, Spatial Data Analysis, Geospatial Mapping, Spatial Analysis, Big Data, Matplotlib, Data Processing, Computational Thinking, Distributed Computing, Data Manipulation

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 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 (粤语)

      Skills you'll gain: Statistical Modeling, Statistical Analysis, SPSS, SAS (Software), Regression Analysis, Analysis, Correlation Analysis, Statistical Methods, Data Analysis Software, Data Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Mixed · Course · 3 - 6 Months

    • C

      Coursera Project Network

      Scrape and analyze data analyst job requirements with Python

      Skills you'll gain: Web Scraping, Data Visualization, Data Presentation, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Data Capture, Data Transformation, Python Programming, Jupyter

      3.2
      Rating, 3.2 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      F

      Fred Hutchinson Cancer Center

      Researcher's guide to RNA sequencing data

      Skills you'll gain: Research Design, Molecular Biology, Bioinformatics, Experimentation, Science and Research, Data Analysis, Spatial Analysis, Data Processing, Quantitative Research, Biology, Qualitative Research, Data Collection

      3.8
      Rating, 3.8 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Peking University

      流行病学基础(上)

      Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Health Policy, Public Health, Research Methodologies, Biostatistics, Research Design, Statistical Analysis, Infectious Diseases, Data Collection, Descriptive Statistics, Risk Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Data Science & Machine Learning Fundamentals

      Skills you'll gain: Feature Engineering, Data Science, Data Analysis, Business Analytics, Data Literacy, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Classification And Regression Tree (CART), Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Supervised Learning, Data Cleansing, Exploratory Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Cervical Cancer Risk Prediction Using Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Statistical Analysis, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Data Import/Export, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, NumPy, Data Manipulation, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to statistics

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    1…686970…107

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

    • Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera Project Network
    • Villes africaines: Mobilités et transports urbains: École Polytechnique Fédérale de Lausanne
    • Marketing Analytics Capstone Project: Emory University
    • Demand Planning in RStudio: Create Demand Forecast: Coursera Project Network
    • Statistical Methods for Data Science: Ball State University
    • Getting Started with CyberGIS: University of Illinois Urbana-Champaign
    • Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语): The Chinese University of Hong Kong
    • Scrape and analyze data analyst job requirements with Python: Coursera Project Network
    • Researcher's guide to RNA sequencing data: Fred Hutchinson Cancer Center
    • 流行病学基础(上): Peking University

    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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