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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
      J

      Johns Hopkins University

      Data Science Decisions in Time: Using Data Effectively

      Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Bayesian Statistics, Data Science, Anomaly Detection, Probability Distribution, Machine Learning Methods, Statistical Analysis, Sampling (Statistics)

      Intermediate · Course · 1 - 3 Months

    • T

      Tecnológico de Monterrey

      Visualización de Datos - Gestión Empresarial

      Skills you'll gain: Data Storytelling, Power BI, Data Presentation, Tableau Software, Data Visualization Software, Data-Driven Decision-Making, Interactive Data Visualization, Dashboard, Plotly, Business Intelligence, Exploratory Data Analysis, Data Analysis Expressions (DAX), Data Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Perform basic data analysis tasks using Java streams

      Skills you'll gain: Data Import/Export, Data Analysis, Exploratory Data Analysis, Java, Data Manipulation, Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • L

      LearnKartS

      Tableau for Data Visualization and Analysis

      Skills you'll gain: Tableau Software, Forecasting, Data Visualization Software, Dashboard, Interactive Data Visualization, Data Storytelling, Time Series Analysis and Forecasting, Trend Analysis, Data Modeling, Exploratory Data Analysis, Data Analysis, Geospatial Mapping, Data Integration, Systems Integration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fred Hutchinson Cancer Center

      Researcher's guide to omic fundamentals

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality, Data Validation

      3.8
      Rating, 3.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Variable Selection, Model Validation, Nonlinear Regression

      Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, R Programming, Statistical Analysis, Statistical Modeling, Predictive Modeling, Advanced Analytics, Probability & Statistics, Data Validation

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google Cloud

      Boost Productivity with Gemini in BigQuery

      Skills you'll gain: Big Data, Data Analysis, Exploratory Data Analysis, Google Cloud Platform, Data Processing, Data Manipulation, Generative AI, Prompt Engineering, Artificial Intelligence, Data Visualization Software

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Linear Kalman Filter Deep Dive (and Target Tracking)

      Skills you'll gain: Advanced Mathematics, Mathematical Modeling, Systems Of Measurement, Linear Algebra, Statistical Methods, Predictive Analytics, Predictive Modeling, Applied Mathematics, Time Series Analysis and Forecasting, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of London

      Data Science Project Capstone: Predicting Bicycle Rental

      Skills you'll gain: Correlation Analysis, Predictive Modeling, Data Collection, Regression Analysis, Data Science, Forecasting, Data Analysis, Statistical Modeling, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Exploratory Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Financial Statement Applications

      Skills you'll gain: Financial Statement Analysis, Financial Statements, Financial Analysis, Inventory Accounting, Generally Accepted Accounting Principles (GAAP), Income Statement, Financial Data, Cash Flows, Balance Sheet, Accounting, Profit and Loss (P&L) Management, Financial Forecasting, Working Capital, Trend Analysis

      Build toward a degree

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Creating Features for Time Series Data

      Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Feature Engineering, Statistical Analysis, Data Analysis, Data Transformation, Exploratory Data Analysis, Unsupervised Learning, Dimensionality Reduction, Probability & Statistics, Machine Learning Algorithms

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Trees, SVM and Unsupervised Learning

      Skills you'll gain: Applied Machine Learning, Supervised Learning, Statistical Machine Learning, Data Science, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Feature Engineering, Random Forest Algorithm

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…787980…106

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

    • Data Science Decisions in Time: Using Data Effectively: Johns Hopkins University
    • Visualización de Datos - Gestión Empresarial: Tecnológico de Monterrey
    • Perform basic data analysis tasks using Java streams: Coursera Project Network
    • Tableau for Data Visualization and Analysis: LearnKartS
    • Researcher's guide to omic fundamentals: Fred Hutchinson Cancer Center
    • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
    • Boost Productivity with Gemini in BigQuery: Google Cloud
    • Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
    • Data Science Project Capstone: Predicting Bicycle Rental: University of London
    • Financial Statement Applications: 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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