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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, 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

    • 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
      U

      University of Maryland, College Park

      PMP Exam Prep: Gaining Business Acumen for Project Managers

      Skills you'll gain: Compliance Management, Stakeholder Engagement, Trend Analysis, Project Management Institute (PMI) Methodology, Regulatory Compliance, Change Management, Organizational Strategy, Market Trend, Business Priorities, Project Performance, Project Management, Timelines, Scope Management, Risk Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 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

    • Status: New
      New
      U

      University of Colorado Boulder

      Fundamentals of Natural Language Processing

      Skills you'll gain: Natural Language Processing, Text Mining, Statistical Modeling, Data Processing, Probability & Statistics, Unstructured Data, Artificial Neural Networks, Machine Learning, Supervised Learning, Algorithms, Regression Analysis

      Build toward a degree

      Intermediate · Course · 1 - 4 Weeks

    • N

      Northeastern University

      An Overview of the U.S. Healthcare System

      Skills you'll gain: Health Systems, Healthcare Industry Knowledge, Health Care Administration, Health Care, Primary Care, Health Policy, Health Equity, Consumer Behaviour, Health Technology, Cultural Diversity, Telehealth, Economics, Trend Analysis

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Analysis with Python: Inform a Business Decision

      Skills you'll gain: Data Visualization, Data Storytelling, Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Analytical Skills, Business Analysis, Data Manipulation, Data Cleansing, Data Import/Export, Promotional Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • 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

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Wrangling Data in the Tidyverse

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Processing, Text Mining, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      32 reviews

      Mixed · Course · 1 - 3 Months

    • 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

    • 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

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Mining Project

      Skills you'll gain: Data Mining, Data Processing, Data Presentation, Analytical Skills, Big Data, Data Pipelines, Data Analysis, Exploratory Data Analysis, Ideation, Technical Communication, Technical Writing

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to statistics

    statistics with python
    statistics for data science
    statistics with r
    statistics for data analysis
    statistics for data science with python
    statistics in psychological research
    statistics for business
    statistics foundations
    1…686970…106

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

    • 流行病学基础(上): Peking University
    • Pivot Tables in Google Sheets: Google Cloud
    • PMP Exam Prep: Gaining Business Acumen for Project Managers: University of Maryland, College Park
    • Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语): The Chinese University of Hong Kong
    • Fundamentals of Natural Language Processing: University of Colorado Boulder
    • An Overview of the U.S. Healthcare System: Northeastern University
    • Data Analysis with Python: Inform a Business Decision: Coursera Project Network
    • Quantifying Relationships with Regression Models: Johns Hopkins University
    • Wrangling Data in the Tidyverse: Johns Hopkins University
    • أساسيات تحليل البيانات باستخدام بايثون وباندا: Coursera Project Network

    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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