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  • R Statistics

R Statistics Courses

R Statistics courses can help you learn data manipulation, statistical modeling, hypothesis testing, and data visualization techniques. You can build skills in regression analysis, time series forecasting, and creating reproducible reports. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, that support analyzing datasets and presenting findings effectively. By engaging with these tools, you can apply statistical methods to real-world problems, enhancing your ability to draw insights from data.


Popular R Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Data Analytics Foundations

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    189 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    頑想學概率:機率一 (Probability (1))

    Skills you'll gain: Probability, Probability Distribution, Statistics, Data Literacy, Logical Reasoning, Critical Thinking, Learning Strategies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    367 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Statistical Analysis and Advanced Techniques

    Skills you'll gain: Regression Analysis, Statistical Analysis, Time Series Analysis and Forecasting, Logistic Regression, R Programming, Statistical Hypothesis Testing, Probability & Statistics, Statistical Modeling, R (Software), Statistics, Predictive Modeling, Generative AI, Forecasting, Descriptive Statistics, Power BI

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    839 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus through Data and Modelling

    Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), Analytical Skills, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    320 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Model Evaluation, Advanced Analytics, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Data Ethics, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Classification Algorithms, Python Programming, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    595 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Text Retrieval and Search Engines

    Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Web Scraping, Model Evaluation, Web Analytics and SEO, Machine Learning, Information Architecture, Probability & Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    962 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    720 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Intro to Lean Six Sigma and Project Identification Methods

    Skills you'll gain: Process Mapping, Lean Six Sigma, Process Analysis, Process Improvement, Quality Improvement, Risk Management, Continuous Improvement Process, Business Requirements, Business Risk Management, Customer Analysis, Business Process, Key Performance Indicators (KPIs), Performance Measurement, Project Documentation, Project Planning, Project Scoping, Project Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    SAS Visual Business Analytics

    Skills you'll gain: SAS (Software), Network Analysis, Trend Analysis, Data Manipulation, Data Analysis, Forecasting, Data Quality, Text Mining, Data Visualization Software, Spatial Analysis, Dashboard, Analysis, Data Mapping, Analytics, Data Visualization, Time Series Analysis and Forecasting, Business Analytics, Interactive Data Visualization, Data-Driven Decision-Making, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Create Charts and Dashboards Using Microsoft Excel

    Skills you'll gain: Dashboard, Microsoft Excel, Microsoft 365, Microsoft Office, Spreadsheet Software, Data Visualization, Trend Analysis, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 3 Months

Searches related to r statistics

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calculating descriptive statistics in r
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1…545556…165

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

  • Data Analytics Foundations: DeepLearning.AI
  • 頑想學概率:機率一 (Probability (1)): National Taiwan University
  • Statistical Analysis and Advanced Techniques: Microsoft
  • State Estimation and Localization for Self-Driving Cars: University of Toronto
  • Precalculus through Data and Modelling: Johns Hopkins University
  • The Nuts and Bolts of Machine Learning: Google
  • Text Retrieval and Search Engines: University of Illinois Urbana-Champaign
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Intro to Lean Six Sigma and Project Identification Methods : SkillUp
  • SAS Visual Business Analytics: SAS

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