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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: Free Trial
      Free Trial
      I

      Illinois Tech

      Bayesian Computational Statistics

      Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Programming, Statistical Software, R Programming, Markov Model, Probability, Simulations, Probability Distribution

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Geographic Information Systems (GIS)

      Skills you'll gain: ArcGIS, GIS Software, Spatial Analysis, Data Storytelling, Spatial Data Analysis, Geographic Information Systems, Data Presentation, Geospatial Mapping, Public Health and Disease Prevention, Public Health, Land Management, Geospatial Information and Technology, Heat Maps, Data Sharing, Epidemiology, Community Health, Metadata Management, Data Visualization Software, Data Quality, Network Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      COVID19 Data Analysis Using Python

      Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Statistics, Infectious Diseases, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2K reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Artificial Intelligence, Machine Learning, Regression Analysis, Network Architecture, Network Model, Predictive Modeling, Natural Language Processing, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Data Visualization with Tableau

      Skills you'll gain: Dashboard, Data Storytelling, Tableau Software, Data Presentation, Data Visualization, Visual Design, Advanced Analytics, Stakeholder Analysis, Interactive Data Visualization, Data Visualization Software, Design, Data Literacy, Exploratory Data Analysis, Proposal Development, Data Ethics, Data Analysis, Visualization (Computer Graphics), Pivot Tables And Charts, Data Mapping, Storyboarding

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Methods and Statistics in Social Science - Final Research Project

      Skills you'll gain: Statistical Analysis, Research, Research Reports, Data Analysis, Research Design, Data Collection, Research Methodologies, Surveys, Qualitative Research, Experimentation, Descriptive Statistics, Survey Creation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      63 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning

      Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Generative Model Architectures, Deep Learning, Data Analysis, Statistical Methods, Statistical Inference, Applied Machine Learning, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Machine Learning Algorithms, Machine Learning, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Fitting Statistical Models to Data with Python

      Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Correlation Analysis, Probability Distribution, Python Programming, Data Visualization Software

      4.4
      Rating, 4.4 out of 5 stars
      ·
      709 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Methods, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Data Access, Machine Learning, Statistics, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Applied Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations of Data Science

      Skills you'll gain: Data Ethics, Data-Driven Decision-Making, Data Analysis, Analytics, Business Analytics, Data Storytelling, Big Data, Data Science, Communication, Stakeholder Communications, Workflow Management, Project Management, Artificial Intelligence

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

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Statistics & Mathematics for Data Science & Data Analytics

      Skills you'll gain: Probability & Statistics, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis

      Intermediate · Course · 1 - 3 Months

    Searches related to statistics

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    1…101112…117

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

    • Bayesian Computational Statistics: Illinois Tech
    • Geographic Information Systems (GIS): University of California, Davis
    • COVID19 Data Analysis Using Python: Coursera Project Network
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • Data Visualization with Tableau: University of California, Davis
    • Methods and Statistics in Social Science - Final Research Project: University of Amsterdam
    • Machine Learning: University of Washington
    • IBM Machine Learning: IBM
    • Fitting Statistical Models to Data with Python: University of Michigan
    • IBM Introduction to Machine Learning: 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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