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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

    • P

      Packt

      The STATA OMNIBUS: Regression and Modelling with STATA

      Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Analysis, Advanced Analytics, Correlation Analysis, Statistical Visualization, Data Manipulation, Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Using Data for Healthcare Improvement

      Skills you'll gain: Run Chart, Qualitative Research, Continuous Quality Improvement (CQI), Quantitative Research, Descriptive Statistics, Data Collection, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Data Presentation, Systems Of Measurement, Time Series Analysis and Forecasting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Управление анализом данных

      Skills you'll gain: Data Presentation, Data Literacy, Data Collection, Data Analysis, Data Management, Analytical Skills, Management Reporting, Exploratory Data Analysis, Data Modeling, Statistical Analysis, Statistical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      46 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Natural Language Processing and Capstone Assignment

      Skills you'll gain: Predictive Modeling, Natural Language Processing, Social Media, Text Mining, Cloud Computing, Unstructured Data, Big Data, Data Analysis, Trend Analysis, Geospatial Information and Technology, Machine Learning Methods, Business Intelligence, Consumer Behaviour, Internet Of Things, Deep Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Fundamentals of Machine Learning for Supply Chain

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Programming Principles, Python Programming, Applied Machine Learning, Plot (Graphics), Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Data Science Project: MATLAB for the Real World

      Skills you'll gain: Data Storytelling, Feature Engineering, Data Visualization, Exploratory Data Analysis, Applied Machine Learning, Statistical Reporting, Data Science, Machine Learning, Data Analysis, Matlab, Data Processing, Technical Communication, Predictive Modeling, Data Manipulation, Data Cleansing, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      GenAI for Business Intelligence Analysts

      Skills you'll gain: Business Intelligence, Generative AI, Business Analytics, Business Process Automation, Data-Driven Decision-Making, Data Ethics, Data Storytelling, Advanced Analytics, Exploratory Data Analysis, Large Language Modeling, Data Governance, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      ANOVA and Experimental Design

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, A/B Testing, Data Analysis, Regression Analysis, Probability & Statistics, Sample Size Determination

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Data Visualization Best Practices

      Skills you'll gain: Data Visualization Software, Statistical Visualization, Data Presentation, Plot (Graphics), Data Storytelling, Tableau Software, Exploratory Data Analysis, Descriptive Statistics, Data Analysis, Descriptive Analytics, Histogram

      3.9
      Rating, 3.9 out of 5 stars
      ·
      19 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Aptly

      Search Advertising with Google

      Skills you'll gain: Google Ads, Advertising Campaigns, Content Performance Analysis, Pay Per Click Advertising, Search Engine Marketing, Performance Metric, Campaign Management, Performance Analysis, Keyword Research, Performance Measurement, Bidding, Digital Advertising, Web Analytics, Registration, Advertising, Marketing, Digital Marketing, Key Performance Indicators (KPIs), Test Planning, Copywriting

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      The Data Driven Manager

      Skills you'll gain: Sampling (Statistics), Engineering Management, Statistical Hypothesis Testing, Data-Driven Decision-Making, Correlation Analysis, Data Literacy, Probability Distribution, Descriptive Statistics, Estimation, Data Analysis, Sample Size Determination, Statistical Analysis, Statistical Software, Statistical Methods, Leadership and Management, Technical Management, Statistical Visualization, Statistics, Leadership, Probability & Statistics

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      37 reviews

      Beginner · Specialization · 3 - 6 Months

    • É

      École Polytechnique Fédérale de Lausanne

      African cities : An Introduction to Urban Planning

      Skills you'll gain: Land Development, Governance, Land Management, Community Development, Civil Engineering, Policty Analysis, Research, and Development, Economic Development, Project Finance, Spatial Analysis, Transportation Operations, Environment and Resource Management, Property and Real Estate

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to statistics

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    statistics for data science with python
    statistics in psychological research
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    1…656667…106

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

    • The STATA OMNIBUS: Regression and Modelling with STATA: Packt
    • Using Data for Healthcare Improvement: Imperial College London
    • Управление анализом данных: Johns Hopkins University
    • Natural Language Processing and Capstone Assignment: University of California, Irvine
    • Fundamentals of Machine Learning for Supply Chain: LearnQuest
    • Data Science Project: MATLAB for the Real World: MathWorks
    • GenAI for Business Intelligence Analysts: Coursera Instructor Network
    • ANOVA and Experimental Design: University of Colorado Boulder
    • Data Visualization Best Practices: University of California, Irvine
    • Search Advertising with Google: Aptly

    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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