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    • Statistics

    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
      N

      Northwestern University

      Fundamentals of Digital Image and Video Processing

      Skills you'll gain: Image Analysis, Digital Communications, Computer Vision, Visualization (Computer Graphics), Medical Imaging, Electrical and Computer Engineering, Telecommunications, Spatial Analysis, Matlab, Mathematical Modeling, Color Theory, Applied Mathematics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      T

      The State University of New York

      Practical Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Correlation Analysis, Probability & Statistics, Descriptive Statistics, Statistical Inference, Software Installation

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Graphic Design

      Skills you'll gain: Infographics, Graphic Design, Graphic and Visual Design, Graphic and Visual Design Software, Design, Visual Design, Graphics Software, Typography, Design Software, Design Reviews, Adobe Creative Cloud, Adobe Photoshop, Design Elements And Principles, Peer Review, Color Theory, Creativity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G
      N
      G
      N

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Market Trend, Artificial Intelligence and Machine Learning (AI/ML), Financial Market, Artificial Neural Networks

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      A Crash Course in Data Science

      Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Houston

      Math behind Moneyball

      Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Performance Analysis, Advanced Analytics, Data-Driven Decision-Making, Analytics, Data Analysis Software, Business Mathematics, Forecasting, Probability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      97 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Survey Data Collection and Analytics

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Data Collection, Statistical Analysis, Interviewing Skills, Research Design, STATA (Software), R (Software), Data Integration, Data Ethics, Stata, Data Quality, Statistical Modeling, Qualitative Research, Descriptive Statistics, Data Cleansing, Statistical Software, R Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      U

      Universitat Autònoma de Barcelona

      ¿Cómo persuadir? Jugando con palabras, imágenes y números

      Skills you'll gain: Data Literacy, Persuasive Communication, Advertising, Communication, Verbal Communication Skills, Public Speaking, Analysis, Probability & Statistics, Research, Data Presentation, Data Visualization, Persona (User Experience), Psychology

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

      Skills you'll gain: Probability, Statistical Hypothesis Testing, Statistical Inference, Statistical Methods, Probability & Statistics, Statistics, Probability Distribution, Data Literacy, Sampling (Statistics), Bayesian Statistics, Applied Mathematics, Data Ethics, Statistical Analysis, Quantitative Research, Data Science, Theoretical Computer Science, Data Analysis, Sample Size Determination, Descriptive Statistics, Artificial Intelligence

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      326 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Digital Marketing Analytics in Practice

      Skills you'll gain: Data Storytelling, Marketing Analytics, Case Studies, Web Analytics, Analytics, Data Visualization Software, Business Analytics, Trend Analysis, Digital Marketing, Data Analysis, Marketing, MarTech, Consumer Behaviour, Data Collection, Information Privacy

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      G

      Georgia Institute of Technology

      Fundamentals of Engineering Exam Review

      Skills you'll gain: Structural Analysis, Probability & Statistics, Hydraulics, Statistics, Mechanical Engineering, Probability, Engineering, Mechanics, Hydrology, Civil Engineering, Algebra, Advanced Mathematics, Calculus, Differential Equations, Geometry, Trigonometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      614 reviews

      Mixed · Course · 1 - 3 Months

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    1…262728…117

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

    • Fundamentals of Digital Image and Video Processing: Northwestern University
    • Practical Time Series Analysis: The State University of New York
    • Graphic Design: University of Colorado Boulder
    • Machine Learning for Trading: Google Cloud
    • A Crash Course in Data Science: Johns Hopkins University
    • Math behind Moneyball: University of Houston
    • Survey Data Collection and Analytics: University of Maryland, College Park
    • ¿Cómo persuadir? Jugando con palabras, imágenes y números: Universitat Autònoma de Barcelona
    • Probabilistic Graphical Models 1: Representation: Stanford University
    • Data Science Foundations: Statistical Inference: 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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