• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
Log In
Join for Free
Coursera
  • Browse
  • Basic Statistics

Basic Statistics Courses Online

Master basic statistics for data analysis. Learn to collect, analyze, and interpret data using statistical methods and tools.

Skip to search results

Filter by

Subject
Required
 *

Language
Required
 *

The language used throughout the course, in both instruction and assessments.

Learning Product
Required
 *

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn career credentials while taking courses that count towards your Master’s degree.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
Complete graduate-level learning without committing to a full degree program.
Earn a university-issued career credential in a flexible, interactive format.

Level
Required
 *

Duration
Required
 *

Skills
Required
 *

Subtitles
Required
 *

Educator
Required
 *

Explore the Basic Statistics Course Catalog

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Markov Model, Estimation, Probability & Statistics, Probability Distribution, Statistical Methods, Statistical Inference, Bayesian Statistics, Sampling (Statistics), Statistical Analysis, Mathematical Modeling, Statistics, Statistical Modeling, Data Analysis, Data Science, Descriptive Statistics, Machine Learning Algorithms, Artificial Intelligence, Generative AI

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    311 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Basic Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistics, Scientific Methods, Quantitative Research, Data Analysis Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Statistics Foundations

    Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Analytics, Time Series Analysis and Forecasting, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    362 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Probability and Statistics

    Skills you'll gain: Data Analysis, Statistical Analysis, Analytics, Statistical Modeling, Predictive Modeling, Applied Mathematics, Data Visualization

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Statistics and Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Analysis, Statistical Modeling, Statistical Inference, Excel Formulas, Data Analysis, Data Presentation, Business Analysis, Statistical Methods, Sample Size Determination

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Applied Data Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Probability & Statistics, Scatter Plots, Microsoft Excel, Statistics, Data Import/Export, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    42 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Zurich

    An Intuitive Introduction to Probability

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Applied Mathematics, Risk Analysis, Finance

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    O

    O.P. Jindal Global University

    Statistical Methods and Data Analysis

    Skills you'll gain: Sampling (Statistics), Statistical Analysis, Probability Distribution, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Statistical Modeling, Statistical Inference, Probability, Big Data, Decision Tree Learning

    Build toward a degree

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Macquarie University

    Statistics and Data Analysis with Excel

    Skills you'll gain: Pivot Tables And Charts, Sample Size Determination, Data Visualization, Statistical Inference, Data Visualization Software, Statistical Hypothesis Testing, Statistics, Data-Driven Decision-Making, Microsoft Excel, Correlation Analysis, Descriptive Statistics, Data Analysis, Forecasting, Regression Analysis, Business Analytics, Probability & Statistics, Excel Formulas, Statistical Modeling, Statistical Visualization, Data Presentation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    28 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Data Integrity, Information Privacy

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    777 reviews

    Advanced · Specialization · 3 - 6 Months

Basic Statistics learners also search

R Statistics
Applied Statistics
Beginner Statistics
Statistics Projects
Advanced Statistics
Statistics
Statistics for Data Science
Statistics With R
1234…391

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

  • Foundations of Probability and Statistics: University of Colorado Boulder
  • Basic Statistics: University of Amsterdam
  • Introduction to Statistics: Stanford University
  • Statistics Foundations: Meta
  • Probability and Statistics: Birla Institute of Technology & Science, Pilani
  • Business Statistics and Analysis: Rice University
  • Statistics and Applied Data Analysis: University of Colorado Boulder
  • An Intuitive Introduction to Probability: University of Zurich
  • Statistical Methods and Data Analysis : O.P. Jindal Global University
  • Statistics and Data Analysis with Excel: Macquarie University

Frequently Asked Questions about Basic Statistics

Basic Statistics refers to the foundational principles and techniques used in analyzing and interpreting numerical data. It encompasses a range of statistical concepts and methods that enable individuals to collect, organize, describe, and draw meaningful conclusions from data.

In Basic Statistics, learners will typically discover fundamental concepts such as:

  1. Descriptive Statistics: This involves summarizing and presenting data using measures such as mean, median, mode, range, and standard deviation. It helps users understand the characteristics and properties of data.

  2. Inferential Statistics: This branch of statistics enables users to draw conclusions or make inferences about a population based on a sample. Techniques like hypothesis testing, confidence intervals, and p-values are used to support these conclusions.

  3. Probability: Probability theory is a crucial aspect of Basic Statistics. It quantifies the likelihood of an event occurring. Concepts like probability distributions and the laws of probability help users understand uncertain events and their outcomes.

  4. Sampling Techniques: Basic Statistics introduces learners to different sampling methods used to collect data. Understanding how to obtain a representative sample is important for making accurate inferences about an entire population.

  5. Data Visualization: This involves creating graphical representations of data to provide insights and facilitate understanding. Techniques like bar graphs, histograms, scatter plots, and pie charts are often employed to visually present data.

By studying Basic Statistics, individuals gain the necessary skills to critically evaluate numerical information, identify trends, make data-driven decisions, and perform basic statistical analyses. These skills are widely applicable in various fields such as business, social sciences, healthcare, finance, and more.‎

To learn Basic Statistics, you will need to acquire the following skills:

  1. Understanding of algebra: Basic Statistics often involves mathematical calculations, formulas, and concepts that require a strong foundation in algebra. This includes being comfortable with variables, equations, and functions.

  2. Data analysis: Basic Statistics involves analyzing data sets and drawing meaningful conclusions from them. Knowledge of different types of data (such as numerical or categorical data), data organization techniques, and methods to summarize data (including measures of central tendency and dispersion) is important.

  3. Probability theory: Probability theory serves as the foundation for many statistical concepts. Understanding the principles of probability, including concepts like independent and dependent events, conditional probability, and expected values, will facilitate your understanding of statistical analysis.

  4. Statistical concepts: You need to grasp fundamental statistical concepts like hypothesis testing, confidence intervals, correlation, regression analysis, and sampling techniques. These concepts will enable you to interpret and draw conclusions from data in a statistical context.

  5. Statistical software: Proficiency in statistical software like R, Python, or SPSS can greatly enhance your ability to work with data, perform statistical analysis, and visualize results. Familiarize yourself with at least one statistical software package to conduct calculations and generate statistical graphics.

  6. Critical thinking and problem-solving skills: Basic Statistics involves interpreting results, drawing conclusions, and making decisions based on data. Developing critical thinking skills and being able to apply statistical concepts to real-world scenarios will help you become a more proficient statistician.

  7. Communication and data visualization: Being able to effectively communicate statistical findings is crucial. Learn how to present data visually through charts, graphs, and tables that clearly convey the message you want to communicate.

Remember, learning Basic Statistics is an iterative process, so practice is essential. Through hands-on experience and applying these skills to real-world problems, you will build a solid foundation in statistics.‎

With Basic Statistics skills, you can pursue various career paths, including:

  1. Data Analyst: Basic Statistics skills are essential for interpreting and analyzing data, which is crucial for making informed business decisions and identifying trends and patterns.

  2. Market Research Analyst: Basic Statistics knowledge helps in conducting surveys, collecting data, and analyzing market trends to assist companies in making data-driven decisions about their products or services.

  3. Financial Analyst: Understanding Basic Statistics allows financial analysts to interpret financial data, perform risk assessments, and make predictions for investment purposes.

  4. Quality Control Analyst: Basic Statistics skills are vital for identifying and analyzing trends, ensuring quality standards, maintaining consistency, and making process improvements.

  5. Epidemiologist: Epidemiologists utilize Basic Statistics to study and analyze patterns and trends in the incidence and distribution of diseases, helping to identify risk factors and develop effective public health strategies.

  6. Operations Research Analyst: Basic Statistics is fundamental in conducting analyses, simulations, and mathematical modeling to optimize various processes and solve complex problems in organizations.

  7. Data Scientist: Basic Statistics knowledge is the foundation of data science, enabling professionals to collect, clean, and analyze large datasets and extract meaningful insights for strategic decision-making.

  8. Research Analyst: Basic Statistics skills are valuable for analyzing research data, detecting correlations, and drawing conclusions in various fields, including social sciences, market research, and policy analysis.

  9. Actuary: Actuaries use Basic Statistics to assess risks and uncertainties in insurance and financial industries, analyzing data to develop strategies to manage risks effectively.

  10. Business Consultant: Basic Statistics proficiency helps business consultants analyze data, identify trends, and generate actionable insights to provide strategic guidance and drive business growth.

Remember that Basic Statistics skills can serve as a strong foundation for a wide range of careers, and they can be further developed and specialized through advanced courses or certifications.‎

Basic Statistics is a fundamental subject that can benefit a wide range of individuals. However, it is particularly well-suited for the following groups of people:

  1. Students pursuing degrees in mathematics, statistics, economics, or any other field that involves data analysis: Basic Statistics provides a solid foundation for understanding and interpreting data, which is essential in these disciplines.

  2. Professionals in fields such as finance, market research, data science, or any job that requires analyzing and interpreting data: Basic Statistics equips individuals with the necessary skills to make informed decisions based on data, identify trends, and draw meaningful conclusions.

  3. Researchers and academics: Basic Statistics is crucial for conducting research, designing experiments, and analyzing data in various fields, including social sciences, natural sciences, and healthcare.

  4. Business professionals and entrepreneurs: Understanding Basic Statistics enables individuals to make data-driven decisions, identify patterns, and gain insights into customer behavior, market trends, and business performance.

  5. Anyone interested in personal development and improving analytical skills: Basic Statistics provides a valuable toolkit for critical thinking, problem-solving, and making informed decisions in everyday life.

Overall, Basic Statistics is beneficial for a diverse range of individuals, regardless of their background or career aspirations. It empowers individuals to navigate and interpret the vast amount of data available in today's digital age.‎

Here are some topics related to Basic Statistics that you can study:

  1. Descriptive statistics: Learn about measures of central tendency (mean, median, mode), measures of variability (standard deviation, variance), and graphical representation of data.

  2. Probability: Understand the fundamentals of probability theory, including concepts such as sample space, events, probability distributions, and conditional probability.

  3. Statistical inference: Explore the concepts of hypothesis testing, confidence intervals, and understanding the role of sample data in making inferences about populations.

  4. Regression analysis: Study linear regression models to understand the relationship between variables, estimate parameters, and make predictions.

  5. Experimental design: Learn about various experimental design techniques, such as randomized controlled trials, to analyze the effectiveness of interventions or treatments.

  6. Data visualization: Gain skills in presenting data visually through charts, graphs, and other visual representations to effectively communicate statistical findings.

  7. Statistical software: Get hands-on experience with statistical software like R or Python to analyze and manipulate data, perform statistical tests, and create visualizations.

  8. Statistical modeling: Dive into advanced statistical models like ANOVA (Analysis of Variance), logistic regression, time series analysis, and more to explore the relationships between variables.

  9. Multivariate statistics: Understand techniques for analyzing data with multiple variables, including factor analysis, principal component analysis, and cluster analysis.

  10. Statistical ethics: Explore the ethical considerations in statistical analysis, including privacy, biases, and responsible use of data.

Remember, this is just a starting point, and there are many more topics to explore within the realm of Basic Statistics.‎

Online Basic Statistics courses offer a convenient and flexible way to enhance your knowledge or learn new Basic Statistics refers to the foundational principles and techniques used in analyzing and interpreting numerical data. It encompasses a range of statistical concepts and methods that enable individuals to collect, organize, describe, and draw meaningful conclusions from data.

In Basic Statistics, learners will typically discover fundamental concepts such as:

  1. Descriptive Statistics: This involves summarizing and presenting data using measures such as mean, median, mode, range, and standard deviation. It helps users understand the characteristics and properties of data.

  2. Inferential Statistics: This branch of statistics enables users to draw conclusions or make inferences about a population based on a sample. Techniques like hypothesis testing, confidence intervals, and p-values are used to support these conclusions.

  3. Probability: Probability theory is a crucial aspect of Basic Statistics. It quantifies the likelihood of an event occurring. Concepts like probability distributions and the laws of probability help users understand uncertain events and their outcomes.

  4. Sampling Techniques: Basic Statistics introduces learners to different sampling methods used to collect data. Understanding how to obtain a representative sample is important for making accurate inferences about an entire population.

  5. Data Visualization: This involves creating graphical representations of data to provide insights and facilitate understanding. Techniques like bar graphs, histograms, scatter plots, and pie charts are often employed to visually present data.

By studying Basic Statistics, individuals gain the necessary skills to critically evaluate numerical information, identify trends, make data-driven decisions, and perform basic statistical analyses. These skills are widely applicable in various fields such as business, social sciences, healthcare, finance, and more. skills. Choose from a wide range of Basic Statistics courses offered by top universities and industry leaders tailored to various skill levels.‎

When looking to enhance your workforce's skills in Basic Statistics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

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.

Other topics to explore

Arts and Humanities
338 courses
Business
1095 courses
Computer Science
668 courses
Data Science
425 courses
Information Technology
145 courses
Health
471 courses
Math and Logic
70 courses
Personal Development
137 courses
Physical Science and Engineering
413 courses
Social Sciences
401 courses
Language Learning
150 courses

Coursera Footer

Skills

  • Artificial Intelligence (AI)
  • Cybersecurity
  • Data Analytics
  • Digital Marketing
  • English Speaking
  • Generative AI (GenAI)
  • Microsoft Excel
  • Microsoft Power BI
  • Project Management
  • Python

Certificates & Programs

  • Google Cybersecurity Certificate
  • Google Data Analytics Certificate
  • Google IT Support Certificate
  • Google Project Management Certificate
  • Google UX Design Certificate
  • IBM Data Analyst Certificate
  • IBM Data Science Certificate
  • Machine Learning Certificate
  • Microsoft Power BI Data Analyst Certificate
  • UI / UX Design Certificate

Industries & Careers

  • Business
  • Computer Science
  • Data Science
  • Education & Teaching
  • Engineering
  • Finance
  • Healthcare
  • Human Resources (HR)
  • Information Technology (IT)
  • Marketing

Career Resources

  • Career Aptitude Test
  • Examples of Strengths and Weaknesses for Job Interviews
  • High-Income Skills to Learn
  • How Does Cryptocurrency Work?
  • How to Highlight Duplicates in Google Sheets
  • How to Learn Artificial Intelligence
  • Popular Cybersecurity Certifications
  • Preparing for the PMP Certification
  • Signs You Will Get the Job After an Interview
  • What Is Artificial Intelligence?

Coursera

  • About
  • What We Offer
  • Leadership
  • Careers
  • Catalog
  • Coursera Plus
  • Professional Certificates
  • MasterTrack® Certificates
  • Degrees
  • For Enterprise
  • For Government
  • For Campus
  • Become a Partner
  • Social Impact
  • Free Courses
  • Share your Coursera learning story

Community

  • Learners
  • Partners
  • Beta Testers
  • Blog
  • The Coursera Podcast
  • Tech Blog

More

  • Press
  • Investors
  • Terms
  • Privacy
  • Help
  • Accessibility
  • Contact
  • Articles
  • Directory
  • Affiliates
  • Modern Slavery Statement
  • Do Not Sell/Share
Learn Anywhere
Download on the App Store
Get it on Google Play
Logo of Certified B Corporation
© 2025 Coursera Inc. All rights reserved.
  • Coursera Facebook
  • Coursera Linkedin
  • Coursera Twitter
  • Coursera YouTube
  • Coursera Instagram
  • Coursera TikTok