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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
      G

      Google

      Google Data Analytics

      Skills you'll gain: Data Presentation, Data Storytelling, Presentations, Data Cleansing, Data Visualization, Rmarkdown, Data-Driven Decision-Making, Data Validation, Data Ethics, Analytical Skills, Interactive Data Visualization, Dashboard, Spreadsheet Software, Ggplot2, Google Sheets, SQL, Data Collection, Data Analysis, Sampling (Statistics), Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      322 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Business intelligence and data analytics: Generate insights

      Skills you'll gain: SAS (Software), Business Analytics, Dashboard, Data-Driven Decision-Making, Analytical Skills, Business Intelligence, Data Analysis, Forecasting, Trend Analysis, Histogram, Business Ethics, Correlation Analysis, Time Series Analysis and Forecasting, Statistics, Predictive Modeling, Innovation, Sustainable Business

      4.6
      Rating, 4.6 out of 5 stars
      ·
      460 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      Universitat Autònoma de Barcelona

      Sustainability of Social-Ecological Systems: the Nexus between Water, Energy and Food

      Skills you'll gain: Data Storytelling, Sustainable Systems, Data Literacy, Systems Thinking, Case Studies, Sustainable Development, Quantitative Research, Sustainability Standards, Water Resource Management, Energy and Utilities, Analysis, Environmental Science, Policy Analysis, Social Network Analysis, Environment and Resource Management, Correlation Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Cluster Analysis in Data Mining

      Skills you'll gain: Unsupervised Learning, Data Mining, Data Validation, Machine Learning Algorithms, Machine Learning Methods, Statistical Methods, Exploratory Data Analysis, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      408 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Digital Twins

      Skills you'll gain: Manufacturing Operations, Production Planning, Digital Transformation, Technology Strategies, Business Modeling, Technology Roadmaps, Business Transformation, Product Lifecycle Management, Internet Of Things, Simulation and Simulation Software, Emerging Technologies, Real Time Data, Trend Analysis, Risk Analysis, Business, Systems Integration, Case Studies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      97 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Scripting with Python and SQL for Data Engineering

      Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Manipulation, Data Structures, Query Languages, Database Management, Databases, Data Import/Export, Data Storage Technologies, Spatial Analysis, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      103 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IE Business School

      Trade, Immigration and Exchange Rates in a Globalized World

      Skills you'll gain: International Finance, Economics, International Relations, Economic Development, Global Marketing, Financial Trading, Socioeconomics, World History, Supply And Demand, Political Sciences, Trend Analysis, Risk Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      299 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Business Analytics using Excel

      Skills you'll gain: Data Visualization, Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Dashboard, Excel Macros, Data Analysis, Analytics, Data Cleansing, Data Processing, Regression Analysis, Descriptive Statistics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      D

      Duke University

      The Brain and Space

      Skills you'll gain: Spatial Analysis, Neurology, Learning Theory, Human Learning, Psychology, Experimentation, Anatomy, Physiology, Biology, Magnetic Resonance Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      653 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Create Machine Learning Models in Microsoft Azure

      Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Pandas (Python Package), Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Data Science, MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      308 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      AI for Scientific Research

      Skills you'll gain: Feature Engineering, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, NumPy, Classification And Regression Tree (CART), Tensorflow, Machine Learning, Predictive Modeling, Data Science

      3.2
      Rating, 3.2 out of 5 stars
      ·
      81 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp

      ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization

      Skills you'll gain: Process Mapping, Root Cause Analysis, Lean Six Sigma, Lean Methodologies, Correlation Analysis, Process Improvement, Quality Improvement, Lean Manufacturing, Six Sigma Methodology, Regression Analysis, Statistical Methods, Statistics, Continuous Improvement Process, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Probability & Statistics, Process Optimization, Process Management, Quality Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      19 reviews

      Beginner · Specialization · 3 - 6 Months

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    1…606162…116

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

    • Google Data Analytics: Google
    • Business intelligence and data analytics: Generate insights: Macquarie University
    • Sustainability of Social-Ecological Systems: the Nexus between Water, Energy and Food: Universitat Autònoma de Barcelona
    • Cluster Analysis in Data Mining: University of Illinois Urbana-Champaign
    • Digital Twins: University of Michigan
    • Scripting with Python and SQL for Data Engineering: Duke University
    • Trade, Immigration and Exchange Rates in a Globalized World: IE Business School
    • Business Analytics using Excel: Simplilearn
    • The Brain and Space: Duke University
    • Create Machine Learning Models in Microsoft Azure: Microsoft

    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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