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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

    Statistics For Data Science

    Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

    4
    Rating, 4 out of 5 stars
    ·
    36 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Investment Risk Management

    Skills you'll gain: Investment Management, Risk Management, Financial Analysis, Financial Management, Risk Analysis, Portfolio Management, Financial Market, Investments, Return On Investment, Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Introduction to Business Analysis Using Spreadsheets: Basics

    Skills you'll gain: Google Sheets, Data Visualization, Spreadsheet Software, Data Presentation, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Statistics, Excel Formulas, Data Cleansing, Mathematical Software

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Create Charts and Dashboards Using Microsoft Excel

    Skills you'll gain: Dashboard, Microsoft Excel, Microsoft 365, Microsoft Office, Spreadsheet Software, Data Visualization, Trend Analysis, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    983 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Basic Statistics in Python (Correlations and T-tests)

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    34 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Compare Stock Returns with Google Sheets

    Skills you'll gain: Risk Analysis, Google Sheets, Financial Analysis, Quantitative Research, Spreadsheet Software, Statistical Analysis, Statistics, Securities (Finance), Probability & Statistics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    675 reviews

    Beginner · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • C

    Coursera Project Network

    Getting Started in Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics, Content Performance Analysis, Marketing Analytics, Dashboard, User Accounts

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.5K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Building Candlestick Charts with Google Sheets

    Skills you'll gain: Technical Analysis, Google Sheets, Market Data, Data Visualization, Trend Analysis, Web Scraping, Data Visualization Software

    4.3
    Rating, 4.3 out of 5 stars
    ·
    296 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Building Custom Regional Reports with Google Analytics

    Skills you'll gain: Google Analytics, Marketing Analytics, Email Automation, Data-Driven Decision-Making, Web Analytics, Dashboard, Geospatial Information and Technology, Marketing, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    272 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Build your first Machine Learning Pipeline using Dataiku

    Skills you'll gain: Data Import/Export, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Analysis, Machine Learning, Predictive Analytics, Time Series Analysis and Forecasting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    59 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    296 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Tesla Stock Price Prediction using Facebook Prophet

    Skills you'll gain: Technical Analysis, Time Series Analysis and Forecasting, Predictive Modeling, Market Data, Financial Forecasting, Applied Machine Learning, Trend Analysis, Financial Analysis, Data Visualization, Interactive Data Visualization, Equities, Machine Learning, Data Manipulation

    4.2
    Rating, 4.2 out of 5 stars
    ·
    141 reviews

    Beginner · Guided Project · Less Than 2 Hours

Statistics learners also search

basic statistics
applied statistics
statistics projects
statistics for data science
advanced statistics
statistics for data analysis
business statistics
descriptive statistics
1234…11

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

  • Statistics For Data Science: Coursera Project Network
  • Investment Risk Management: Coursera Project Network
  • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera Project Network
  • Create Charts and Dashboards Using Microsoft Excel: Coursera Project Network
  • Basic Statistics in Python (Correlations and T-tests): Coursera Project Network
  • Compare Stock Returns with Google Sheets: Coursera Project Network
  • Getting Started in Google Analytics: Coursera Project Network
  • Building Candlestick Charts with Google Sheets: Coursera Project Network
  • Building Custom Regional Reports with Google Analytics: Coursera Project Network
  • Build your first Machine Learning Pipeline using Dataiku : Coursera Project Network

Frequently Asked Questions about Statistics

Browse the statistics courses below—popular starting points on Coursera.

  • Introduction to Statistics: Stanford University
  • Basic Statistics: University of Amsterdam
  • Statistics and Calculus Methods for Data Analysis: University of Pittsburgh
  • The Power of Statistics: Google
  • Statistics Foundations: Meta
  • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI‎

Yes. You can start learning statistics on Coursera for free in two ways:

  • Preview the first module of many statistics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in statistics, or unlock full course access after the preview or trial, you can upgrade 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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