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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: New
      New
      I

      Illinois Tech

      Predictive Analytics

      Skills you'll gain: Predictive Analytics, Data Cleansing, Unsupervised Learning, Data Analysis, Data Manipulation, Data Mining, Supervised Learning, Decision Tree Learning, Machine Learning, Artificial Neural Networks

      Intermediate · 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: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Green Belt

      Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Process Analysis, Lean Manufacturing, Statistical Analysis, Process Mapping, Correlation Analysis, Data Collection, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Exploring and Producing Data for Business Decision Making

      Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Probability Distribution, Business Analytics, Statistics, Microsoft Excel, Analytics, Statistical Inference, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Statistical Analysis, Histogram, Data Collection, Data Presentation, Decision Making, Graphing

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Digital Product Management: Modern Fundamentals

      Skills you'll gain: New Product Development, Product Management, Innovation, Technical Product Management, Product Improvement, Customer Insights, Design and Product, Product Roadmaps, Design Thinking, Customer Engagement, Agile Methodology, Data-Driven Decision-Making, Web Analytics, Stakeholder Management, Business Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Satisfaction Guaranteed: Develop Customer Loyalty Online

      Skills you'll gain: Loyalty Programs, Customer Retention, E-Commerce, Customer Relationship Management, Web Analytics, Digital Marketing, Product Improvement, Email Marketing, Marketing Analytics, Customer Insights, Portfolio Management, Generative AI Agents, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Fundamentals of GIS

      Skills you'll gain: ArcGIS, Geographic Information Systems, Data Sharing, Geospatial Mapping, Spatial Analysis, Metadata Management, Data Mapping, Data Visualization, Data Analysis, Software Installation, Data Quality, Data Integration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 4 Weeks

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

      University of Pittsburgh

      Mathematical Foundations for Data Science and Analytics

      Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

      Build toward a degree

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      I

      IE Business School

      Beyond the Obvious: How to Think in the Age of Generative AI

      Skills you'll gain: Critical Thinking, Logical Reasoning, Analytical Skills, Decision Making, Research, Generative AI, Systems Thinking, Cognitive flexibility, Open Mindset, Data Analysis, Lifelong Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Algorithms, Arithmetic

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Linear Algebra, Performance Tuning, Predictive Modeling, Pseudocode, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Yellow Belt

      Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Business Process, Statistical Process Controls, Quality Management, Team Management, Continuous Improvement Process, Project Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to statistics

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    1…131415…117

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

    • Predictive Analytics: Illinois Tech
    • Introduction to Data Analysis Using Excel: Rice University
    • Six Sigma Green Belt: Kennesaw State University
    • Exploring and Producing Data for Business Decision Making: University of Illinois Urbana-Champaign
    • Digital Product Management: Modern Fundamentals: University of Virginia
    • Satisfaction Guaranteed: Develop Customer Loyalty Online: Google
    • Fundamentals of GIS: University of California, Davis
    • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
    • Beyond the Obvious: How to Think in the Age of Generative AI: IE Business School
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego

    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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