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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


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    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

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    C

    Coursera

    Introduction to DeepSeek

    Skills you'll gain: Deepseek, Model Deployment, AI Enablement, LLM Application, Generative Model Architectures, Competitive Analysis, AI Product Strategy, AI Workflows, Application Deployment, Organizational Strategy, Data Ethics, Model Evaluation, Automation, Integration Testing, Cost Reduction, Process Optimization, Program Evaluation

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Data Understanding and Data Visualization with Python

    Skills you'll gain: Data Visualization, Matplotlib, Scientific Visualization, Data Storytelling, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Data Structures, Heat Maps, Data Manipulation, Pandas (Python Package), NumPy, Data Transformation, Data Preprocessing, Exploratory Data Analysis, Data Cleansing, Data Mapping, Data Import/Export, Python Programming, Scripting

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Financial Analysis with ARIMA and Time Series Forecasting

    Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Statistical Analysis, Machine Learning, Trend Analysis, Financial Data, Financial Modeling, Jupyter, Predictive Modeling, GitHub, Statistical Modeling, NumPy

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Master Java Spring Framework: Build Web Apps

    Skills you'll gain: Object-Relational Mapping, Spring Framework, Hibernate (Java), Apache Maven, Model View Controller, Relational Databases, Database Design, MySQL, Web Applications, Java Platform Enterprise Edition (J2EE), Java, Full-Stack Web Development, Database Development, Application Frameworks, Back-End Web Development, Authentications, Object Oriented Design, Object Oriented Programming (OOP), Application Development, Software Design Patterns

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Lausanne

    HEALTHY URBAN SYSTEMS - PART 1 : Concepts and observations

    Skills you'll gain: Health Policy, Public Health, Health Systems, Geographic Information Systems, Systems Thinking, Community Health, Spatial Analysis, Social Determinants Of Health, Sustainable Development, Environmental Issue, Data Collection, Machine Learning

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    The Simplest Guideâ„¢ to Base SAS & Advanced SAS

    Skills you'll gain: SAS (Software), Data Visualization, Data Manipulation, Data Analysis, Data Import/Export, Data Visualization Software, SQL, Statistical Analysis, Data Cleansing, Data Transformation, Exploratory Data Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Natural Language Processing - Probability Models in Python

    Skills you'll gain: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Customer Segmentation with K-Means: Model & Visualize

    Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Data Preprocessing, Pandas (Python Package), Heat Maps, Data Manipulation, Seaborn, Histogram, Scatter Plots, Matplotlib, Exploratory Data Analysis, Applied Machine Learning, Data Visualization Software

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Creating Measures and Dimensions Using LookML

    Skills you'll gain: Looker (Software), Dashboard, Data Analysis Expressions (DAX), Ad Hoc Analysis, Data Analysis, Exploratory Data Analysis, Data Visualization Software

    Beginner · Project · Less Than 2 Hours

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    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Baseball into the Millennium

    Skills you'll gain: Culture, Social Studies, International Relations, World History, Cultural Diversity, Socioeconomics, Public History, Labor Law, Political Sciences, Trend Analysis, Economics, Business Economics

    Beginner · Course · 1 - 4 Weeks

Searches related to r statistics

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calculating descriptive statistics in r
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1…153154155…164

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

  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • Introduction to DeepSeek: Coursera
  • Data Understanding and Data Visualization with Python: Packt
  • Financial Analysis with ARIMA and Time Series Forecasting: Packt
  • Master Java Spring Framework: Build Web Apps: EDUCBA
  • HEALTHY URBAN SYSTEMS - PART 1 : Concepts and observations: University of Lausanne
  • The Simplest Guideâ„¢ to Base SAS & Advanced SAS: Packt
  • Natural Language Processing - Probability Models in Python: Packt
  • Customer Segmentation with K-Means: Model & Visualize: EDUCBA
  • Creating Measures and Dimensions Using LookML: Google Cloud

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