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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

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Data Mining Project

      Skills you'll gain: Data Mining, Text Mining, Unstructured Data, Big Data, Data Processing, Exploratory Data Analysis, Data Presentation, Data Visualization Software, Analysis, Technical Writing, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      48 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Essential Causal Inference Techniques for Data Science

      Skills you'll gain: Regression Analysis, Data Science, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 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, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra

      4.6
      Rating, 4.6 out of 5 stars
      ·
      295 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Codio

      Data Science and Analysis Tools - from Jupyter to R Markdown

      Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Dashboard, Tidyverse (R Package), Data Analysis, Interactive Data Visualization, Data Import/Export, Data Visualization

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Coursera

      Setting a Generative AI Strategy

      Skills you'll gain: Generative AI, Strategic Thinking, Business Strategy, Growth Strategies, Organizational Strategy, Customer experience strategy (CX), Technology Strategies, Business Modeling, Thought Leadership, Value Propositions, Productivity Software, Artificial Intelligence, Operational Efficiency, Trend Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      61 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Unsupervised Algorithms in Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Data Science, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Feature Engineering, Python Programming, Algorithms, Exploratory Data Analysis, NumPy

      Build toward a degree

      3.8
      Rating, 3.8 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      Population, Food, and Soil

      Skills you'll gain: Demography, Environment, Environment and Resource Management, Environmental Science, Land Management, Environmental Issue, Nutrition and Diet, Nutrition Education, Natural Resource Management, Social Studies, Water Resources, Human Development, Physical Science, Biology, Cultural Diversity, Trend Analysis, Economic Development, Estimation, Ethical Standards And Conduct

      4.8
      Rating, 4.8 out of 5 stars
      ·
      51 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Database Design and Operational Business Intelligence

      Skills you'll gain: Extract, Transform, Load, Decision Support Systems, Data Warehousing, Data Mining, Database Design, Business Intelligence, Dashboard, Star Schema, Relational Databases, Database Management, Data Visualization Software, Snowflake Schema, Business Reporting, Database Management Systems, SAS (Software), Data Modeling, Interactive Data Visualization, SQL, Data Mart, Data Storytelling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      227 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      CertNexus Certified Data Science Practitioner

      Skills you'll gain: Extract, Transform, Load, Data Analysis, Jupyter, Data Visualization, Unsupervised Learning, Applied Machine Learning, Statistical Analysis, Exploratory Data Analysis, Machine Learning, Analytical Skills, Data Manipulation, Data Cleansing, Data Processing, Stakeholder Engagement, Project Scoping, Data Presentation, Business Priorities, Classification And Regression Tree (CART), Stakeholder Management, Business Analytics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Introduction to Data Science Techniques

      Skills you'll gain: Time Series Analysis and Forecasting, Statistical Analysis, Machine Learning Algorithms, Data Analysis, Data Visualization, Exploratory Data Analysis, Data Presentation, Data Science, Statistical Programming, Statistical Machine Learning, Statistical Reporting, Statistical Methods, Data Cleansing, Forecasting, Applied Machine Learning, Analytics, R Programming, Machine Learning, Regression Analysis, Statistical Modeling

      Build toward a degree

      4.2
      Rating, 4.2 out of 5 stars
      ·
      13 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Introduction to Social Media Analytics

      Skills you'll gain: Social Media Marketing, Social Media, Marketing Analytics, Text Mining, Consumer Behaviour, Data Mining, Customer Insights, Market Analysis, Data Analysis Software, Trend Analysis, Research

      4.3
      Rating, 4.3 out of 5 stars
      ·
      108 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Moneyball and Beyond

      Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 1 - 3 Months

    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…515253…106

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

    • Data Mining Project: University of Illinois Urbana-Champaign
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Principal Component Analysis with NumPy: Coursera Project Network
    • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
    • Setting a Generative AI Strategy: Coursera
    • Unsupervised Algorithms in Machine Learning: University of Colorado Boulder
    • Population, Food, and Soil: Dartmouth College
    • Database Design and Operational Business Intelligence: University of California, Irvine
    • CertNexus Certified Data Science Practitioner: CertNexus
    • Introduction to Data Science Techniques: Illinois Tech

    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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