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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: Preview
      Preview
      U

      University of Michigan

      Mindware: Critical Thinking for the Information Age

      Skills you'll gain: Data Analysis, Analytical Skills, Experimentation, Critical Thinking, Research Design, Behavioral Economics, Decision Making, Regression Analysis, Statistical Inference, Probability, Correlation Analysis, Adaptability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      S

      Stanford University

      Social and Economic Networks: Models and Analysis

      Skills you'll gain: Social Network Analysis, Network Analysis, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Behavioral Economics, Mathematical Modeling, Markov Model, Bayesian Statistics, Probability Distribution, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      757 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Introduction to Data Analysis Using Excel

      Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Manipulation, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Predictive Models: Build, Explore Data & Deploy

      Skills you'll gain: Data Modeling, Classification And Regression Tree (CART), Data Validation, Statistical Analysis, Application Deployment

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Risk Management

      Skills you'll gain: Credit Risk, Operational Risk, Risk Management, Risk Management Framework, Business Risk Management, Risk Modeling, Risk Mitigation, Financial Market, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Derivatives, Governance, Portfolio Management, Capital Markets, Risk Analysis, Investment Management, Financial Analysis, Market Data, Key Performance Indicators (KPIs)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

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

      University of Colorado Boulder

      Parallel Computing with MPI

      Skills you'll gain: C and C++, Data Sharing, Communication Systems

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      102 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      SPSS: Apply & Interpret Logistic Regression Models

      Skills you'll gain:

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Science Methods for Quality Improvement

      Skills you'll gain: Process Capability, Statistical Inference, Correlation Analysis, Probability Distribution, Statistical Analysis, R (Software), Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Statistical Process Controls, Data Visualization, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Analysis, Data Literacy, Data Analysis Software, Data Science, Quality Improvement, Process Engineering

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      52 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Self-Driving Cars

      Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Automation, Deep Learning, Simulation and Simulation Software, Software Architecture, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Hardware Architecture, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Estimation, Algorithms, Machine Learning Methods, Simulations, Scenario Testing, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Practical Data Science with MATLAB

      Skills you'll gain: Data Storytelling, Feature Engineering, Data Visualization, Supervised Learning, Dimensionality Reduction, Data Integration, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Technical Communication, Data Analysis, Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Processing, Descriptive Statistics, Data Cleansing, Predictive Modeling, Data Manipulation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to statistics

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    1…151617…115

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

    • Mindware: Critical Thinking for the Information Age : University of Michigan
    • Social and Economic Networks: Models and Analysis: Stanford University
    • Introduction to Data Analysis Using Excel: Rice University
    • Predictive Models: Build, Explore Data & Deploy: EDUCBA
    • Risk Management: New York Institute of Finance
    • Parallel Computing with MPI: University of Colorado Boulder
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • SPSS: Apply & Interpret Logistic Regression Models: EDUCBA
    • Data Science Methods for Quality Improvement: University of Colorado Boulder
    • Self-Driving Cars: University of Toronto

    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.

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