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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
      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
      ·
      166 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Foundations of Public Health Practice

      Skills you'll gain: Public Health, Public Health and Disease Prevention, Health Equity, Health Disparities, Health Promotion, Microbiology, Health Assessment, Sanitation, Program Evaluation, Healthcare Ethics, Epidemiology, Infectious Diseases, Health Policy, Preventative Care, Environment Health And Safety, Behavioral Economics, Health Education, Intelligence Collection and Analysis, Applied Behavior Analysis, Social Determinants Of Health

      4.7
      Rating, 4.7 out of 5 stars
      ·
      649 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      339 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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
      ·
      501 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Machine Learning and Reinforcement Learning in Finance

      Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Market Dynamics, Risk Modeling, Tensorflow, Financial Modeling

      3.7
      Rating, 3.7 out of 5 stars
      ·
      816 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Using Machine Learning in Trading and Finance

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Performance Metric

      3.9
      Rating, 3.9 out of 5 stars
      ·
      375 reviews

      Intermediate · Course · 1 - 3 Months

    • 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
      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
      V

      Vanderbilt University

      ChatGPT + Excel: Master Data, Make Decisions, Tell Stories

      Skills you'll gain: Data Storytelling, Microsoft Excel, Data Visualization, Data Analysis, Data Cleansing, ChatGPT, Data Integration, Data Transformation, Data Validation, Exploratory Data Analysis, Prompt Engineering, LLM Application, Data Quality, Generative AI

      4.8
      Rating, 4.8 out of 5 stars
      ·
      109 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 Michigan

      Data Analytics in the Public Sector with R

      Skills you'll gain: Data Visualization, Exploratory Data Analysis, Plot (Graphics), Statistical Analysis, Data Presentation, Ggplot2, Program Evaluation, Policy Analysis, Surveys, Data Ethics, R (Software), Data Analysis, Tidyverse (R Package), Statistical Visualization, R Programming, Statistical Methods, Public Policies, Data Visualization Software, Analytical Skills, Case Studies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      82 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Machine Learning Algorithms: Supervised Learning Tip to Tail

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Jupyter, Machine Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      415 reviews

      Mixed · Course · 1 - 4 Weeks

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    1…232425…115

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

    • Foundations of AI and Machine Learning: Microsoft
    • Foundations of Public Health Practice: Imperial College London
    • Fundamentals of Machine Learning in Finance: New York University
    • Organization Planning and Development for the 6 σ Black Belt: Kennesaw State University
    • Machine Learning and Reinforcement Learning in Finance: New York University
    • Using Machine Learning in Trading and Finance: New York Institute of Finance
    • Research Instruments and Research Hypotheses: Queen Mary University of London
    • Investments I: Fundamentals of Performance Evaluation: University of Illinois Urbana-Champaign
    • ChatGPT + Excel: Master Data, Make Decisions, Tell Stories: Vanderbilt University
    • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology

    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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