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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

      Peking University

      流行病学基础(上)

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Data Analysis with OpenAI API: Save time with GenAI

      Skills you'll gain: Prompt Engineering, Generative AI, Exploratory Data Analysis, OpenAI, Data Analysis, Data-Driven Decision-Making, Trend Analysis, Product Knowledge, Sales Strategy, Application Programming Interface (API), E-Commerce, Data Manipulation, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • B

      Ball State University

      Introduction to Data Science

      Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Data Literacy, Sampling (Statistics), Data Science, R Programming, Data Structures, Data Integrity, Information Privacy, Tidyverse (R Package), Data Manipulation, Ggplot2, Ethical Standards And Conduct

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Stability and Capability in Quality Improvement

      Skills you'll gain: Process Capability, Statistical Process Controls, Statistical Analysis, Data Analysis Software, R Programming, Quality Control, Statistical Methods, Process Analysis, Data Transformation, Statistical Hypothesis Testing, Process Improvement, Probability Distribution

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      16 reviews

      Intermediate · 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

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Analíticas en Páginas Web

      Skills you'll gain: Web Analytics, Search Engine Marketing, Marketing Analytics, Market Research, Digital Marketing, Search Engine Optimization, Analytical Skills, Online Advertising, Email Marketing, Marketing Effectiveness, Analytics, Content Performance Analysis, Market Intelligence, Customer Insights, Consumer Behaviour, Digital Advertising, Pay Per Click Advertising, Customer Relationship Management, Browser Compatibility, Advertising Campaigns

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

    • G

      Google Cloud

      Pivot Tables in Google Sheets

      Skills you'll gain: Google Sheets, Pivot Tables And Charts, Spreadsheet Software, Data Analysis, Collaborative Software, Descriptive Statistics, Data Presentation, Data Manipulation

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      H

      Howard University

      Business Problem Solving

      Skills you'll gain: Regression Analysis, Correlation Analysis, Spreadsheet Software, Business Analysis, Data-Driven Decision-Making, Business Modeling, Business Analytics, Microsoft Excel, Data Modeling, Statistical Analysis, Analysis, Financial Modeling, Forecasting, Risk Analysis, Data Analysis, Product Assortment, Complex Problem Solving, Predictive Modeling, Investment Management, Process Optimization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Exploratory Data Analysis for the Public Sector with ggplot

      Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Data Presentation, Ggplot2, Statistical Visualization, R Programming, Data Visualization Software, Data Analysis, Scatter Plots, Graphic and Visual Design, Histogram, Tidyverse (R Package), Public Administration, Trend Analysis, Policy Analysis

      5
      Rating, 5 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Quantifying Relationships with Regression Models

      Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Inference, Data Analysis, Statistical Modeling, Statistical Analysis, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      أساسيات تحليل البيانات باستخدام بايثون وباندا

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data Cleansing, Graphing, Exploratory Data Analysis, Data Manipulation, Matplotlib, Jupyter, Data Literacy, NumPy, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to statistics

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    1…697071…108

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

    • 流行病学基础(上): Peking University
    • Data Analysis with OpenAI API: Save time with GenAI: Coursera Project Network
    • Introduction to Data Science: Ball State University
    • Stability and Capability in Quality Improvement: University of Colorado Boulder
    • Data Science & Machine Learning Fundamentals: Corporate Finance Institute
    • Analíticas en Páginas Web: Tecnológico de Monterrey
    • Exploratory Data Analysis in AWS: Whizlabs
    • Pivot Tables in Google Sheets: Google Cloud
    • Business Problem Solving: Howard University
    • Exploratory Data Analysis for the Public Sector with ggplot: 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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