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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
      U

      University of Colorado Boulder

      Data Mining Foundations and Practice

      Skills you'll gain: Data Mining, Unsupervised Learning, Data Warehousing, Data Pipelines, Data Modeling, Big Data, Supervised Learning, Data Science, Machine Learning Methods, Data Cleansing, Classification And Regression Tree (CART), Anomaly Detection, Data Transformation, Machine Learning Algorithms, Exploratory Data Analysis, Data Quality, Analytical Skills, Data Analysis, Advanced Analytics, Applied Machine Learning

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      157 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Clinical Data Science

      Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Medical Privacy, Data Manipulation, Predictive Modeling, Database Design, Clinical Informatics, Google Cloud Platform, Intensive Care Unit, Data Ethics, Data Quality, Risk Modeling, Natural Language Processing, Bioinformatics, Informatics, Text Mining, R Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      481 reviews

      Intermediate · Specialization · 3 - 6 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
      N

      New York Institute of Finance

      Operational Risk Management: Frameworks & Strategies

      Skills you'll gain: Operational Risk, Risk Management Framework, Risk Management, Business Risk Management, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Governance, Risk Analysis, Key Performance Indicators (KPIs), Business Process, Regulatory Requirements, Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      386 reviews

      Beginner · Course · 1 - 3 Months

    • 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
      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
      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
      U

      University of Colorado Boulder

      Trees, SVM and Unsupervised Learning

      Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Random Forest Algorithm, Machine Learning, Predictive Modeling, Dimensionality Reduction, Feature Engineering, Statistics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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
      I

      IBM

      Supervised Machine Learning: Regression

      Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Data Processing, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      770 reviews

      Intermediate · 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: Preview
      Preview
      C

      Caltech

      Pricing Options with Mathematical Models

      Skills you'll gain: Derivatives, Financial Market, Risk Modeling, Mathematical Modeling, Financial Modeling, Credit Risk, Risk Management, Portfolio Management, Probability, Differential Equations, Applied Mathematics, Probability Distribution, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 3 Months

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    1…232425…115

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

    • Data Mining Foundations and Practice: University of Colorado Boulder
    • Clinical Data Science: University of Colorado System
    • Foundations of AI and Machine Learning: Microsoft
    • Operational Risk Management: Frameworks & Strategies: New York Institute of Finance
    • Specialized Models: Time Series and Survival Analysis: IBM
    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
    • Microsoft AI & ML Engineering: Microsoft
    • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
    • DFSS for the 6 σ Black Belt: Kennesaw State University
    • Supervised Machine Learning: Regression: IBM

    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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