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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
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      GIS: Geographic Information Systems for Sustainability

      Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Datamaps, Spatial Analysis, Data Storytelling, Environmental Monitoring, Heat Maps, Forecasting, Trend Analysis

      Beginner · Course · 1 - 4 Weeks

    • T

      The Hong Kong University of Science and Technology

      Social Science Approaches to the Study of Chinese Society Part 2

      Skills you'll gain: Research Design, Social Sciences, Research, Surveys, Qualitative Research, Statistical Analysis, Data Collection, Higher Education, Correlation Analysis, Sample Size Determination, Ethical Standards And Conduct, Probability & Statistics, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exploratory Data Analysis in AWS

      Skills you'll gain: AWS Kinesis, Amazon Redshift, Data Analysis, Real Time Data, Applied Machine Learning, Data Processing, Extract, Transform, Load, Exploratory Data Analysis, Amazon S3, Data Sharing, Data Visualization Software, Data Transformation

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Analysis in Python: Using Pandas DataFrames

      Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Data Manipulation, Data Import/Export, JSON, Data Cleansing, Matplotlib, Data Visualization Software, Exploratory Data Analysis, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • M

      Microsoft

      Develop Clustering Models with Azure ML Designer

      Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Analytics, Data Transformation, Cloud Development, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), User Accounts

      5
      Rating, 5 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Driven Decision Making

      Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Statistical Analysis, Statistical Software, Statistical Methods, Probability & Statistics, Data Analysis, Data Visualization, R Programming, Statistical Inference, Variance Analysis, Sampling (Statistics)

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Pesquisa de Mercado e Estratégia de Marketing

      Skills you'll gain: Quantitative Research, Qualitative Research, Marketing Analytics, Market Analysis, Market Research, Survey Creation, Exploratory Data Analysis, Marketing Strategies, Sampling (Statistics), Strategic Marketing, Marketing Management, Data Collection, Market Intelligence, Forecasting, Strategic Decision-Making, Data Analysis, Predictive Modeling, Analysis, Data-Driven Decision-Making, Marketing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      36 reviews

      Beginner · Specialization · 3 - 6 Months

    • 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

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      Follow a Machine Learning Workflow

      Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Modeling, Solution Delivery, Application Deployment, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Florida

      Agroforestry IV: Climate, Carbon Storage and Agroforestry

      Skills you'll gain: Land Management, Environment and Resource Management, Natural Resource Management, Environmental Issue, Water Resources, Environmental Science, Environment, Environmental Engineering and Restoration, Spatial Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Geospatial Information Technology Essentials

      Skills you'll gain: Geospatial Information and Technology, Spatial Analysis, Geographic Information Systems, GIS Software, Database Management, ArcGIS, Global Positioning Systems, Decision Support Systems, Data Modeling, Open Source Technology, Web Applications, Mobile Development

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Customer Data Analytics for Marketers

      Skills you'll gain: Marketing Analytics, Probability & Statistics, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Statistical Analysis, Marketing Effectiveness, Statistical Hypothesis Testing, Customer Insights, Customer Analysis, Correlation Analysis, Descriptive Statistics, Data Analysis, Analytics, Marketing Strategies, Exploratory Data Analysis, Statistical Visualization, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to statistics

    statistics with python
    statistics for data science
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    statistics for data analysis
    statistics for data science with python
    statistics in psychological research
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    1…707172…106

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

    • GIS: Geographic Information Systems for Sustainability: University of Michigan
    • Social Science Approaches to the Study of Chinese Society Part 2: The Hong Kong University of Science and Technology
    • Exploratory Data Analysis in AWS: Whizlabs
    • Data Analysis in Python: Using Pandas DataFrames: Coursera Project Network
    • Develop Clustering Models with Azure ML Designer: Microsoft
    • Data Driven Decision Making: University of Colorado Boulder
    • Pesquisa de Mercado e Estratégia de Marketing: Fundação Instituto de Administração
    • Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera Project Network
    • Follow a Machine Learning Workflow: CertNexus
    • Agroforestry IV: Climate, Carbon Storage and Agroforestry: University of Florida

    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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