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  • R For Data Analysis

R For Data Analysis Courses

Courses in R for Data Analysis can help you learn data manipulation, statistical modeling, data visualization, and hypothesis testing. You can build skills in cleaning datasets, performing regression analysis, and creating informative graphs. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, showing how these tools facilitate efficient data analysis and enhance the presentation of findings.


Popular R For Data Analysis Courses and Certifications


  • Status: Free Trial
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    Microsoft

    Data Structures and Algorithms

    Skills you'll gain: Graph Theory, Data Structures, Microsoft Copilot, .NET Framework, Algorithms, Back-End Web Development, Pseudocode, C# (Programming Language), Performance Tuning, Programming Principles, Server Side, Scalability

    4.8
    Rating, 4.8 out of 5 stars
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    18 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Google

    Google Data Analytics Capstone: Complete a Case Study

    Skills you'll gain: LinkedIn, Data Analysis, Data Processing, Spreadsheet Software, Case Studies, Google Analytics, Google Sheets, Analysis, Analytics, Analytical Skills, Interviewing Skills, Data Storytelling, Data Visualization Software, Business Analytics, Artificial Intelligence, Data-Driven Decision-Making, Portfolio Management, Research Reports, Data Cleansing, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
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    19K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Genomic Data Science

    Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Statistical Modeling, Data Structures, Data Analysis, Molecular Biology, R Programming, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    6.8K reviews

    Intermediate · Specialization · 3 - 6 Months

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    J

    Johns Hopkins University

    Introduction to Systematic Review and Meta-Analysis

    Skills you'll gain: Clinical Research, Qualitative Research, Data Synthesis, Scientific Methods, Research Methodologies, Data Collection, Quantitative Research, Risk Analysis, Statistical Methods, Statistical Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    3.5K reviews

    Mixed · Course · 1 - 3 Months

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    Imperial College London

    Linear Regression in R for Public Health

    Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, R (Software), Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Probability & Statistics, Biostatistics, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
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    527 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Imperial College London

    Logistic Regression in R for Public Health

    Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Statistics, R Programming, Predictive Modeling, Statistical Analysis, Feature Engineering, Probability & Statistics, Data Wrangling, Statistical Inference, R (Software), Data Cleansing, Public Health

    4.8
    Rating, 4.8 out of 5 stars
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    367 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Data Analysis with NumPy and Pandas

    Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Data Import/Export, NumPy, Time Series Analysis and Forecasting, Business Reporting, Jupyter, Data Wrangling, Microsoft Excel, Data Transformation, Matplotlib, Data Analysis, Data Cleansing, Analytics, Data Processing, Management Reporting, Business Analytics, Python Programming, Numerical Analysis

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
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    A

    Amazon Web Services

    Getting Started with Data Analytics on AWS

    Skills you'll gain: Descriptive Analytics, Analytics, Dashboard, Data Analysis, Exploratory Data Analysis, Amazon Web Services, Data-Driven Decision-Making, Data Visualization, Big Data, Cloud Security, Amazon S3, Cloud Computing

    4.5
    Rating, 4.5 out of 5 stars
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    908 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google

    The Path to Insights: Data Models and Pipelines

    Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Databases, Data Warehousing, Database Systems, Data Pipelines, Business Intelligence, Data Integrity, Performance Tuning, Data Mart, Data Management, Process Optimization, Data Quality, Data Transformation, SQL, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
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    693 reviews

    Advanced · Course · 1 - 4 Weeks

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    Coursera

    Data Visualization using Plotly

    Skills you'll gain: Plotly, Exploratory Data Analysis, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Interactive Data Visualization, Python Programming

    4
    Rating, 4 out of 5 stars
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    50 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
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    Status: Free Trial
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    EDUCBA

    Data Analysis with Minitab: Analyze & Apply

    Skills you'll gain: Minitab, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Descriptive Statistics, Statistical Analysis, Predictive Modeling, Analytics, Predictive Analytics, Data-Driven Decision-Making, Exploratory Data Analysis, Statistical Methods, Statistical Inference

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
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    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    Skills you'll gain: People Analytics, Data Validation, Data Processing, Workforce Management, Advanced Analytics

    Mixed · Course · 1 - 4 Weeks

Searches related to r for data analysis

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In summary, here are 10 of our most popular r for data analysis courses

  • Data Structures and Algorithms: Microsoft
  • Google Data Analytics Capstone: Complete a Case Study: Google
  • Genomic Data Science: Johns Hopkins University
  • Introduction to Systematic Review and Meta-Analysis: Johns Hopkins University
  • Linear Regression in R for Public Health : Imperial College London
  • Logistic Regression in R for Public Health: Imperial College London
  • Data Analysis with NumPy and Pandas: EDUCBA
  • Getting Started with Data Analytics on AWS: Amazon Web Services
  • The Path to Insights: Data Models and Pipelines: Google
  • Data Visualization using Plotly: Coursera

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