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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
      R

      Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

      Skills you'll gain: Data Analysis, Risk Analysis, Statistical Analysis, Analysis, Statistical Hypothesis Testing, Business Analytics, Risk Management, Business Mathematics, Statistical Inference, Statistics, Estimation, Probability & Statistics, Sampling (Statistics), Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      M

      McMaster University

      Experimentation for Improvement

      Skills you'll gain: Experimentation, Process Improvement and Optimization, Statistical Analysis, A/B Testing, Analytical Skills, Process Optimization, Data Analysis, Regression Analysis, R Programming, Statistical Methods, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      923 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Precalculus through Data and Modelling

      Skills you'll gain: Mathematical Modeling, Graphing, Data Analysis, Trigonometry, R Programming, Algebra, Regression Analysis, Correlation Analysis, Applied Mathematics, Statistical Analysis, Systems Of Measurement, Geometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      312 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Predictive Modeling and Analytics

      Skills you'll gain: Predictive Modeling, Predictive Analytics, Exploratory Data Analysis, Data Visualization, Statistical Modeling, Classification And Regression Tree (CART), Data Modeling, Regression Analysis, Data Analysis, Machine Learning Methods, Supervised Learning, Decision Tree Learning, Data Cleansing, Data Processing, Microsoft Excel, Artificial Neural Networks

      3.6
      Rating, 3.6 out of 5 stars
      ·
      602 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Investments I: Fundamentals of Performance Evaluation

      Skills you'll gain: Portfolio Management, Business Valuation, Investments, Financial Market, Securities (Finance), Financial Modeling, Finance, Asset Management, Equities, Financial Analysis, Risk Analysis, Cash Flows, Regression Analysis, Microsoft Excel

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      921 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      N

      National Taiwan University

      機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

      Skills you'll gain: Supervised Learning, Theoretical Computer Science, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Mathematical Theory & Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Probability & Statistics, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      934 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science Capstone

      Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Data Presentation, Data Analysis, Data Science, Data Storytelling, Feature Engineering, Applied Machine Learning, Statistical Analysis, Data Cleansing, Data Manipulation, R Programming, Machine Learning, Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Algorithms for Searching, Sorting, and Indexing

      Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Programming Principles, Software Design, Computational Thinking, Python Programming

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      507 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Data Analytics Foundations

      Skills you'll gain: Data Storytelling, Data Visualization, Analytics, Data Literacy, Data Analysis, Google Sheets, Spreadsheet Software, Data Visualization Software, Large Language Modeling, Data-Driven Decision-Making, Data Modeling, Business Analysis, Trend Analysis, Business Requirements, Data Processing, Time Series Analysis and Forecasting, Unstructured Data, Data Transformation, Stakeholder Engagement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      127 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Deep Learning, Dimensionality Reduction, Machine Learning Algorithms, Applied Machine Learning, Keras (Neural Network Library), Machine Learning, Decision Tree Learning, Artificial Neural Networks, Exploratory Data Analysis, Data Analysis, Data Science, Pandas (Python Package), Image Analysis, Tensorflow, Data Processing, Predictive Modeling, Random Forest Algorithm, Python Programming

      Build toward a degree

      3.5
      Rating, 3.5 out of 5 stars
      ·
      118 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      E

      Eindhoven University of Technology

      Improving Your Statistical Questions

      Skills you'll gain: Scientific Methods, Quantitative Research, Research Design, Statistical Inference, Experimentation, Statistical Hypothesis Testing, Statistical Methods, Statistical Analysis, Probability & Statistics, Research Methodologies, Data Integrity, Forecasting, Data Synthesis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      112 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Psychological Research

      Skills you'll gain: Descriptive Statistics, Quantitative Research, Plot (Graphics), Scientific Methods, Graphing, Research Design, Statistical Visualization, Statistical Hypothesis Testing, Healthcare Ethics, Probability & Statistics, Research, Statistical Inference, Statistics, Sample Size Determination, Ethical Standards And Conduct, Data Analysis, Data Collection, Research and Design, Research Methodologies, General Science and Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      255 reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to statistics

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    1…313233…112

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

    • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
    • Experimentation for Improvement: McMaster University
    • Precalculus through Data and Modelling: Johns Hopkins University
    • Predictive Modeling and Analytics : University of Colorado Boulder
    • Investments I: Fundamentals of Performance Evaluation: University of Illinois Urbana-Champaign
    • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
    • Data Science Capstone: Johns Hopkins University
    • Algorithms for Searching, Sorting, and Indexing: University of Colorado Boulder
    • Data Analytics Foundations: DeepLearning.AI
    • Machine Learning: Theory and Hands-on Practice with Python: 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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