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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
      S

      SAS

      Statistical Thinking for Industrial Problem Solving, presented by JMP

      Skills you'll gain: Exploratory Data Analysis, Data Visualization, Experimentation, Statistics, Correlation Analysis, Data-Driven Decision-Making, Statistical Methods, Statistical Inference, Data Analysis, Statistical Hypothesis Testing, Descriptive Statistics, Predictive Modeling, Statistical Process Controls, Statistical Analysis, Regression Analysis, Probability & Statistics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      95 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      S

      Stanford University

      Game Theory

      Skills you'll gain: Game Theory, Strategic Decision-Making, Mathematical Modeling, Mathematical Theory & Analysis, Probability, Bayesian Statistics, Behavioral Economics, Problem Solving, Social Sciences

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Data Integrity, Data Quality, Sampling (Statistics), Data Transformation, Data Validation, Data Wrangling, Data Manipulation, Data Analysis, SQL, Sample Size Determination, Exploratory Data Analysis, Spreadsheet Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R Programming, Bayesian Statistics, Data Analysis, Probability Distribution, Probability, Statistical Analysis, Quantitative Research, Statistics, Statistical Inference, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      Universidad Nacional Autónoma de México

      Estadística y probabilidad

      Skills you'll gain: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Summary Statistics in Public Health

      Skills you'll gain: Biostatistics, Descriptive Statistics, Histogram, Statistical Visualization, Box Plots, Quantitative Research, Statistical Methods, Statistics, Probability & Statistics, Public Health, Time Series Analysis and Forecasting, Research Design

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Understanding and Visualizing Data with Python

      Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Visualization, Data Analysis, Exploratory Data Analysis, Histogram, Probability & Statistics, Data Visualization Software, Statistics, Statistical Analysis, Box Plots, Jupyter, Statistical Inference, Pandas (Python Package), Data Import/Export, Data Management, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Using Descriptive Statistics to Analyze Data in R

      Skills you'll gain: Descriptive Statistics, R Programming, Statistical Programming, Statistics, Data Quality, Statistical Reporting, Statistical Analysis, Data Processing, Data Manipulation, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      93 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Yellow Belt

      Skills you'll gain: Lean Methodologies, Six Sigma Methodology, Data Collection, Statistical Hypothesis Testing, Lean Six Sigma, Root Cause Analysis, Quality Improvement, Process Analysis, Process Improvement, Kaizen Methodology, Correlation Analysis, Quality Management, Stakeholder Engagement, Statistical Process Controls, Document Management, Process Capability, Lean Manufacturing, Regression Analysis, Cost Benefit Analysis, Project Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Software Engineering

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Development Environment, Software Design, Software Engineering, Software Development Methodologies, Software Design Patterns, Systems Development, Software Development Tools, Program Development, Software Development, Integrated Development Environments, Application Security, Web Development, Cloud Development, Web Applications, Back-End Web Development, Computer Programming, Front-End Web Development, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Statistical Analysis and Advanced Techniques

      Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Analysis, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Statistical Methods, R Programming, Data Presentation, Data Analysis, Statistical Inference, Descriptive Statistics, Forecasting, Generative AI

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Management

      Skills you'll gain: Dashboard, Data Warehousing, Data Visualization, SQL, Data Storytelling, Data Migration, Data Security, IBM DB2, Pivot Tables And Charts, Descriptive Statistics, Data Management, Database Design, MySQL, Cloud Storage, Extract, Transform, Load, Data Architecture, Data Cleansing, Databases, Business Intelligence, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

    • Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS
    • Game Theory: Stanford University
    • Process Data from Dirty to Clean: Google
    • Introduction to Probability and Data with R: Duke University
    • Estadística y probabilidad: Universidad Nacional Autónoma de México
    • Summary Statistics in Public Health : Johns Hopkins University
    • Understanding and Visualizing Data with Python: University of Michigan
    • Using Descriptive Statistics to Analyze Data in R: Coursera Project Network
    • Six Sigma Yellow Belt: Kennesaw State University
    • Introduction to Software Engineering: 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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