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    • R Statistics

    R Statistics Courses Online

    Study R for statistical analysis. Learn to perform statistical tests, create visualizations, and interpret data using R.

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    Explore the R Statistics Course Catalog

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, R (Software), Probability, Statistics, Probability & Statistics, Statistical Methods, Bayesian Statistics, Social Network Analysis, Applied Mathematics, Probability Distribution, Simulations, Data Science

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Estimation for Data Science and AI

      Skills you'll gain: Statistical Methods, Statistical Inference, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Probability Distribution, Descriptive Statistics, Artificial Intelligence

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Generalized Linear Models and Nonparametric Regression

      Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Inference, Probability Distribution, Linear Algebra, Calculus

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Introduction to Clinical Data Science

      Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Health Insurance Portability And Accountability Act (HIPAA) Compliance, R Programming, Medical Privacy, Google Cloud Platform, Data Ethics, Data Science, Health Informatics, Data Processing, Electronic Medical Record, SQL, Data Access

      4.5
      Rating, 4.5 out of 5 stars
      ·
      420 reviews

      Intermediate · Course · 1 - 4 Weeks

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

      Pearson

      Data Science Fundamentals, Part 2

      Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

      Beginner · Specialization · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Introduction to Recommender Systems: Non-Personalized and Content-Based

      Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Statistical Methods, Persona Development, Text Mining, Descriptive Statistics, Data Collection, Algorithms, Computer Programming, Java

      4.4
      Rating, 4.4 out of 5 stars
      ·
      653 reviews

      Intermediate · Course · 1 - 3 Months

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

      Pearson

      Data Science Fundamentals Part 2: Unit 3

      Skills you'll gain: Predictive Modeling, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Supervised Learning, Machine Learning, Performance Metric

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Unstructured Data, Probability & Statistics

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Hypothesis Testing in Public Health

      Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      646 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Michigan

      Data Science Ethics

      Skills you'll gain: Data Ethics, Informed Consent, Information Privacy, Personally Identifiable Information, Data Security, Data Governance, Ethical Standards And Conduct, Big Data, Responsible AI, Intellectual Property, Data Analysis, Social Studies, Sampling (Statistics)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Algorithms, Keras (Neural Network Library), Unstructured Data, Probability & Statistics, Linear Algebra

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Foundations of Marketing Analytics

      Skills you'll gain: Pivot Tables And Charts, Customer Analysis, Probability Distribution, Customer Demand Planning, Marketing Analytics, Forecasting, Descriptive Statistics, Social Media Marketing, Exploratory Data Analysis, Probability, Statistical Analysis, Target Market, Marketing Effectiveness, Social Media, Revenue Forecasting, Time Series Analysis and Forecasting, Statistics, Predictive Modeling, Microsoft Excel, Marketing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      522 reviews

      Intermediate · Specialization · 3 - 6 Months

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    1…333435…151

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

    • Statistical Methods for Computer Science: Johns Hopkins University
    • Statistical Estimation for Data Science and AI: University of Colorado Boulder
    • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
    • Introduction to Clinical Data Science: University of Colorado System
    • Data Science Fundamentals, Part 2: Pearson
    • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
    • Data Science Fundamentals Part 2: Unit 3: Pearson
    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • Hypothesis Testing in Public Health : Johns Hopkins University
    • Data Science Ethics: University of Michigan

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