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    • Statistics

    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

      Creating a Business Value with Data and Looker 日本語版

      Skills you'll gain: Looker (Software), Dashboard, Data Strategy, Data Modeling, Pivot Tables And Charts, Digital Transformation, Real Time Data, Data Governance, Google Cloud Platform, Data Management, Statistical Reporting, Cloud Storage, Data Transformation, Data Analysis, Data Storage, Big Data, Data Visualization Software, Database Design, Performance Tuning, Exploratory Data Analysis

      4.1
      Rating, 4.1 out of 5 stars
      ·
      14 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Modeling Time Series and Sequential Data

      Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Statistical Methods, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

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

      Universidades Anáhuac

      Principios de Análisis e Instrumento Financieros

      Skills you'll gain: Financial Statement Analysis, Financial Analysis, Financial Market, Income Statement, Balance Sheet, Securities (Finance), Capital Markets, Business Metrics, Profit and Loss (P&L) Management, Corporate Finance, Financial Management, Deposit Accounts, Investments, Cash Flows, Equities, Derivatives, Trend Analysis

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Lausanne

      HEALTHY URBAN SYSTEMS

      Skills you'll gain: Health Policy, Public Health, Health Equity, Health Systems, Geographic Information Systems, Systems Thinking, Community Health, Spatial Analysis, Governance, Simulations, Policy Development, Mathematical Modeling, Environmental Policy, Policy Analysis, Health Assessment, Systems Analysis, Data Analysis Software, Environmental Issue, Environment, Artificial Intelligence

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Y

      Yunus Social Business Fund Bengaluru

      Risk, Return and Valuation

      Skills you'll gain: Business Valuation, Return On Investment, Finance, Financial Analysis, Business Risk Management, Capital Budgeting, Risk Management, Environmental Social And Corporate Governance (ESG), Financial Modeling, Portfolio Management, Corporate Finance, Cash Flows, Decision Making, Probability & Statistics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      GenAI for Data Analysis : OpenAI Assistant API

      Skills you'll gain: Prompt Engineering, Data Analysis, Generative AI, OpenAI, Data Storytelling, Data Visualization Software, Exploratory Data Analysis, Data Manipulation, Artificial Intelligence, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Data Preparation and Analysis

      Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Presentation, Data Cleansing, Applied Machine Learning, Analytics, Machine Learning, Data Science, Regression Analysis, Data Manipulation, Data Mining, Statistical Modeling, Python Programming, Feature Engineering, Scikit Learn (Machine Learning Library), Unsupervised Learning, Classification And Regression Tree (CART)

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

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

      University of Pennsylvania

      Intro to Data Analytics, SQL, and EDA Using Python

      Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Database Management, Data Visualization Software, Business Analytics, Pandas (Python Package), Big Data, Data Science, Data Management, Data Manipulation, Data Cleansing, NumPy

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Develop Clustering Models with Azure ML Designer

      Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Analytics, Data Transformation, Cloud Development, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), User Accounts

      5
      Rating, 5 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Choisir la Meilleure Méthode pour Illustrer les Données

      Skills you'll gain: Datamaps, Interactive Data Visualization, Heat Maps, Data Visualization Software, Statistical Visualization, Data Presentation, Data Storytelling, Data Wrangling, Data Access, Correlation Analysis, Scatter Plots, Exploratory Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      10 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      Università di Napoli Federico II

      Machine Learning e Data Mining in R

      Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Data Mining, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Statistical Analysis, Data Visualization Software, Data Manipulation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Decoding AI: A Deep Dive into AI Models and Predictions

      Skills you'll gain: Generative AI, Data Ethics, Data Analysis, Data-Driven Decision-Making, Data Literacy, Artificial Intelligence, Predictive Modeling, Machine Learning, Media and Communications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics

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    statistics with r
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    statistics for data science with python
    statistics and data analysis with excel, part 1
    1…828384…107

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

    • Creating a Business Value with Data and Looker 日本語版: Google Cloud
    • Modeling Time Series and Sequential Data: SAS
    • Principios de Análisis e Instrumento Financieros: Universidades Anáhuac
    • HEALTHY URBAN SYSTEMS: University of Lausanne
    • Risk, Return and Valuation: Yunus Social Business Fund Bengaluru
    • GenAI for Data Analysis : OpenAI Assistant API : Coursera Project Network
    • Data Preparation and Analysis: Illinois Tech
    • Intro to Data Analytics, SQL, and EDA Using Python: University of Pennsylvania
    • Develop Clustering Models with Azure ML Designer: Microsoft
    • Choisir la Meilleure Méthode pour Illustrer les Données: Coursera Project Network

    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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