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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
      C

      Corporate Finance Institute

      Advanced Tableau

      Skills you'll gain: Star Schema, Data Modeling, Tableau Software, Business Intelligence, Extract, Transform, Load, Dashboard, Performance Tuning, Technical Analysis, Database Design, Data Visualization Software, Data Warehousing, Market Data, Data Presentation, Investment Banking, Exploratory Data Analysis, Tree Maps, Interactive Data Visualization, Data Integration, Market Analysis, Data Storytelling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Plataformas para procesar datos no tradicionales​

      Skills you'll gain: Spatial Analysis, NoSQL, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Public Cloud, Big Data, MongoDB, Apache Hadoop, Apache Spark, Distributed Computing, Data Architecture, Cloud Services, Data Processing, Cloud Computing, Scalability, Databases, Environmental Monitoring, File Systems, Image Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      10 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Perform exploratory data analysis on retail data with Python

      Skills you'll gain: Data-Driven Decision-Making, Business Analytics, Data Analysis, Data Cleansing, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Data Manipulation, Matplotlib, Customer Analysis, Analytical Skills, Trend Analysis, Pandas (Python Package), Python Programming, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Data Visualization Best Practices

      Skills you'll gain: Data Visualization, Data Visualization Software, Statistical Visualization, Data Presentation, Data Storytelling, Tableau Software, Exploratory Data Analysis, Data Analysis, Descriptive Analytics

      3.9
      Rating, 3.9 out of 5 stars
      ·
      19 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Prospectiva jurĂ­dica

      Skills you'll gain: Legal Research, Legal Risk, Public Policies, Policy Analysis, Policy Development, Research Methodologies, Systems Thinking, Social Sciences, Trend Analysis, Social Justice, Qualitative Research, Ethical Standards And Conduct, Creativity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      40 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      How to Describe Data

      Skills you'll gain: Histogram, Data Visualization, Data Literacy, Data Presentation, Data Collection, Descriptive Statistics, Statistics, Data Analysis, Statistical Visualization, Probability & Statistics, Statistical Reporting, Sampling (Statistics), Data Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      UniversitĂ  di Napoli Federico II

      Data Science con Python e R

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Scripting, Machine Learning, Exploratory Data Analysis, Programming Principles

      4.3
      Rating, 4.3 out of 5 stars
      ·
      51 reviews

      Intermediate · Specialization · 1 - 3 Months

    • E

      EDUCBA

      Regression & Forecasting for Data Scientists using Python

      Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Supervised Learning, Data Cleansing, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Wrangling with Python

      Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Seaborn, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data-Driven Decision-Making, Data Transformation, Data Processing, NumPy, Data Presentation, Plot (Graphics), Data Visualization Software, Descriptive Statistics, Data Cleansing, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      28 reviews

      Beginner · Specialization · 3 - 6 Months

    • 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 Trial
      Free Trial
      U

      University of Michigan

      GIS: Geographic Information Systems for Sustainability

      Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Datamaps, Spatial Analysis, Data Storytelling, Environmental Monitoring, Heat Maps, Forecasting, Trend Analysis

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Leeds

      Programming for Data Science

      Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Software Installation, Data Structures, Data Science, Software Documentation, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…676869…107

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

    • Advanced Tableau: Corporate Finance Institute
    • Plataformas para procesar datos no tradicionales​: Universidad de los Andes
    • Perform exploratory data analysis on retail data with Python: Coursera Project Network
    • Data Visualization Best Practices: University of California, Irvine
    • Prospectiva jurĂ­dica: Universidad Nacional AutĂłnoma de MĂ©xico
    • How to Describe Data: University of Michigan
    • Data Science con Python e R: UniversitĂ  di Napoli Federico II
    • Regression & Forecasting for Data Scientists using Python: EDUCBA
    • Data Wrangling with Python: University of Colorado Boulder
    • PMP Exam Prep: Gaining Business Acumen for Project Managers: University of Maryland, College Park

    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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