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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

    • I

      IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

      4.5
      Rating, 4.5 out of 5 stars
      ·
      136 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Q

      Queen Mary University of London

      Research Instruments and Research Hypotheses

      Skills you'll gain: Research Reports, Statistical Hypothesis Testing, Survey Creation, Research Design, Statistical Analysis, Data Processing, Data Collection, Quantitative Research, Statistics, Data Analysis, Data Validation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rutgers the State University of New Jersey

      Supply Chain Analytics Essentials

      Skills you'll gain: Supply Chain Management, Strategic Decision-Making, Working Capital, Data Analysis, Operational Efficiency, Performance Measurement, Job Analysis, Financial Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      K

      King Abdullah University of Science and Technology

      Fundamental Skills in Bioinformatics

      Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Pandas (Python Package), Python Programming, NumPy, Data Manipulation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      62 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Investments I: Fundamentals of Performance Evaluation

      Skills you'll gain: Investments, Finance, Portfolio Management, Business Valuation, Financial Modeling, Equities, Return On Investment, Financial Analysis, Asset Management, Microsoft Excel, Regression Analysis, Risk Analysis, Performance Analysis, Estimation, Cash Flows

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      923 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft AI & ML Engineering

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Application Deployment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      220 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      DFSS for the 6 σ Black Belt

      Skills you'll gain: Process Improvement, Six Sigma Methodology, Lean Six Sigma, Knowledge Transfer, Continuous Improvement Process, Lean Manufacturing, Quality Management, Product Design, Statistical Methods, Design and Product, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      38 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Measurement Systems Analysis

      Skills you'll gain: Correlation Analysis, Statistical Visualization, Data Visualization, Process Capability, Descriptive Statistics, Statistical Analysis, Quantitative Research, Probability & Statistics, Data Analysis, Analysis, R (Software), Exploratory Data Analysis, Systems Of Measurement, Data Quality, R Programming, Regression Analysis, Statistical Methods, Verification And Validation, Continuous Monitoring, Statistical Hypothesis Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Foundations of AI and Machine Learning

      Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Tensorflow, Generative Model Architectures, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      The Nuts and Bolts of Machine Learning

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      558 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Organization Planning and Development for the 6 σ Black Belt

      Skills you'll gain: Lean Six Sigma, Six Sigma Methodology, Lean Methodologies, Process Improvement, Organizational Development, Change Management, Continuous Improvement Process, Business Strategy, Quality Management, Benchmarking, Leadership and Management, Performance Measurement, Business Metrics, Return On Investment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      502 reviews

      Mixed · Course · 1 - 3 Months

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    1…222324…115

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

    • Specialized Models: Time Series and Survival Analysis: IBM
    • Research Instruments and Research Hypotheses: Queen Mary University of London
    • Supply Chain Analytics Essentials: Rutgers the State University of New Jersey
    • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology
    • Investments I: Fundamentals of Performance Evaluation: University of Illinois Urbana-Champaign
    • Microsoft AI & ML Engineering: Microsoft
    • DFSS for the 6 σ Black Belt: Kennesaw State University
    • Measurement Systems Analysis: University of Colorado Boulder
    • Foundations of AI and Machine Learning: Microsoft
    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London

    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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