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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
      G

      Google Cloud

      Launching into Machine Learning en Español

      Skills you'll gain: Exploratory Data Analysis, Data Quality, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Google Cloud Platform, Data Analysis, Regression Analysis, Big Data, Sampling (Statistics), Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      131 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Data Analysis and Representation, Selection and Iteration

      Skills you'll gain: Computational Thinking, Data Analysis, C (Programming Language), Statistical Analysis, Programming Principles, Data Structures, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      93 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The State University of New York

      Data Analytics in Sports Law and Team Management

      Skills you'll gain: Event Management, Performance Analysis, Facility Operations, Business Analytics, Law, Regulation, and Compliance, Data-Driven Decision-Making, Analytics, Data Analysis, Team Performance Management, Team Management, Health Technology, Data Ethics, Trend Analysis, Contract Negotiation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Machine Learning for Supply Chains

      Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Operations Research, NumPy, Demand Planning, Data Manipulation, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Inventory Management, Trend Analysis, Data Visualization, Data Transformation, Customer Demand Planning, Predictive Modeling, Anomaly Detection

      3.5
      Rating, 3.5 out of 5 stars
      ·
      77 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      F

      Fred Hutchinson Cancer Center

      Researcher's Guide to Omic Data

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Research Design, Exploratory Data Analysis, Metadata Management, Experimentation, Science and Research, R Programming, Scientific Methods, Spatial Analysis, Data Collection, Data Quality, Data Validation, Quantitative Research, Biology, Qualitative Research, Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      23 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Inclusive Analytic Techniques

      Skills you'll gain: Data Ethics, Data Collection, Quantitative Research, Qualitative Research, Data Analysis, Statistical Analysis, Analytics, Regression Analysis, Research, Focus Group, Correlation Analysis, Diversity and Inclusion, Surveys, Probability, Stakeholder Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      78 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      ¿Qué hacer con tu estrategia digital en tiempos de cambio?

      Skills you'll gain: Customer Engagement, Target Market, Digital Advertising, Customer Retention, Customer Relationship Building, Search Engine Optimization, Digital Media Strategy, Lead Generation, Digital Marketing, Marketing Strategies, Customer Acquisition Management, Customer experience improvement, Cash Flows, Marketing Communications, Web Analytics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      112 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Career Options: Exploring a New Career

      Skills you'll gain: Planning, Professional Networking, Business Research, Lifelong Learning, Goal Setting, Professional Development, Personal Development, Market Research, Adaptability, Self-Awareness, Market Analysis, Creative Thinking, Decision Making, Trend Analysis

      4.1
      Rating, 4.1 out of 5 stars
      ·
      52 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      GenAI for Market Research Analysts

      Skills you'll gain: Competitive Analysis, Market Research, Market Analysis, Customer Analysis, Generative AI, Marketing Analytics, Market Trend, Persona Development, Trend Analysis, ChatGPT, Analytics, OpenAI, Data Analysis, Forecasting, Ethical Standards And Conduct

      4.4
      Rating, 4.4 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Procesamiento de Imágenes

      Skills you'll gain: Image Analysis, Data Processing, Computer Vision, Algorithms, Python Programming, NumPy, Linear Algebra, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tsinghua University

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Computational Thinking, Theoretical Computer Science, Database Design, Programming Principles, Computer Programming, Query Languages, Spatial Analysis, System Design and Implementation, Computational Logic

      2.8
      Rating, 2.8 out of 5 stars
      ·
      39 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Predicción de Ventas Pronosticando Tendencias

      Skills you'll gain: Forecasting, Trend Analysis, Spreadsheet Software, Predictive Analytics, Regression Analysis, Time Series Analysis and Forecasting, Data Visualization, Statistical Methods, Statistical Analysis, Plot (Graphics), Data-Driven Decision-Making, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      110 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    Searches related to statistics

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    1…606162…107

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

    • Launching into Machine Learning en Español: Google Cloud
    • Data Analysis and Representation, Selection and Iteration: University of Colorado System
    • Data Analytics in Sports Law and Team Management: The State University of New York
    • Machine Learning for Supply Chains: LearnQuest
    • Researcher's Guide to Omic Data: Fred Hutchinson Cancer Center
    • Inclusive Analytic Techniques: University of Toronto
    • ¿Qué hacer con tu estrategia digital en tiempos de cambio?: Tecnológico de Monterrey
    • Career Options: Exploring a New Career: Kennesaw State University
    • GenAI for Market Research Analysts: Coursera Instructor Network
    • Procesamiento de Imágenes: Pontificia Universidad Católica de Chile

    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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