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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
      Status: Free Trial
      Free Trial
      U

      University of Pittsburgh

      Probability Theory and Regression for Predictive Analytics

      Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • 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
      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, Process Capability, Business Process, Statistical Process Controls, Quality Management, Team Management, Project Management

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

      Beginner · Specialization · 3 - 6 Months

    • 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
      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: Preview
      Preview
      U

      University of Amsterdam

      Data Analytics for Lean Six Sigma

      Skills you'll gain: Lean Six Sigma, Statistical Hypothesis Testing, Minitab, Regression Analysis, Data Visualization Software, Probability Distribution, Descriptive Statistics, Data Analysis, Statistical Analysis, Process Improvement, Statistics, Correlation Analysis, Variance Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Mathematical Biostatistics Boot Camp 2

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Statistics, Data Analysis, Probability Distribution

      4.3
      Rating, 4.3 out of 5 stars
      ·
      135 reviews

      Mixed · Course · 1 - 4 Weeks

    • 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
      U

      University of Toronto

      Self-Driving Cars

      Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Automation, Deep Learning, Simulation and Simulation Software, Software Architecture, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Hardware Architecture, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Estimation, Algorithms, Machine Learning Methods, Simulations, Scenario Testing, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • 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: Free Trial
      Free Trial
      R

      Rice University

      Business Finance and Data Analysis Fundamentals

      Skills you'll gain: Capital Budgeting, Cash Flows, Probability & Statistics, Financial Statements, Microsoft Excel, Descriptive Statistics, Financial Accounting, Business Analytics, Box Plots, Probability Distribution, Finance, Financial Analysis, Data Visualization, Probability, Statistics, Ledgers (Accounting), Business Valuation, Business Mathematics, Accounting, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Beginner · Specialization · 3 - 6 Months

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    1…131415…117

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

    • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
    • Digital Product Management: Modern Fundamentals: University of Virginia
    • Reinforcement Learning: University of Alberta
    • Six Sigma Yellow Belt: Kennesaw State University
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • Introduction to Data Analysis Using Excel: Rice University
    • Data Analytics for Lean Six Sigma: University of Amsterdam
    • Mathematical Biostatistics Boot Camp 2: Johns Hopkins University
    • Predictive Analytics: Illinois Tech
    • Self-Driving Cars: University of Toronto

    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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