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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
      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
      I

      IBM

      Unsupervised Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      336 reviews

      Intermediate · 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: Preview
      Preview
      J

      Johns Hopkins University

      Foundational Mathematics for AI

      Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 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
      U

      University of Maryland, College Park

      Combining and Analyzing Complex Data

      Skills you'll gain: Statistical Analysis, STATA (Software), R (Software), Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Informed Consent, Information Privacy

      4.1
      Rating, 4.1 out of 5 stars
      ·
      63 reviews

      Mixed · 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
      ·
      503 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      ESSEC Business School

      Foundations of strategic business analytics

      Skills you'll gain: Business Analytics, Forecasting, Statistical Methods, Predictive Analytics, R Programming, Information Technology, Statistical Analysis, People Analytics, Data Storytelling, Business Strategy, Data Analysis, Data Visualization, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      658 reviews

      Mixed · 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
      ·
      650 reviews

      Beginner · Specialization · 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, Supervised Learning, Data Science, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Machine Learning, Predictive Modeling, Random Forest Algorithm, Statistics

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Intermediate · 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, Case Studies, Financial Analysis

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

      Beginner · Course · 1 - 4 Weeks

    • 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

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

    • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology
    • Unsupervised Machine Learning: IBM
    • Specialized Models: Time Series and Survival Analysis: IBM
    • Foundational Mathematics for AI: Johns Hopkins University
    • Clinical Data Science: University of Colorado System
    • Combining and Analyzing Complex Data: University of Maryland, College Park
    • Organization Planning and Development for the 6 σ Black Belt: Kennesaw State University
    • Foundations of strategic business analytics: ESSEC Business School
    • Foundations of Public Health Practice: Imperial College London
    • Trees, SVM and Unsupervised Learning: University of Colorado Boulder

    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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