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  • R For Data Science

R for Data Science Courses

R for Data Science courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning techniques. You can build skills in exploratory data analysis, hypothesis testing, and predictive modeling. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, that support creating visual representations of data and performing complex data transformations. By engaging with these tools and methods, you can effectively analyze datasets and derive meaningful insights.

Popular R for Data Science Courses and Certifications


  • Status: Free Trial
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    A

    Arizona State University

    Materials Science for Advanced Technological Applications

    Skills you'll gain: Semiconductors, Electronic Components, Materials science, Electrical Engineering, Electronics Engineering, Manufacturing Processes, Mechanical Engineering, Electronics, Thermal Management, Chemical Engineering, Structural Analysis, Chemistry, Failure Analysis, Physical Science, Engineering Calculations

    4.5
    Rating, 4.5 out of 5 stars
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    209 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    P

    Pearson

    Data Science Fundamentals Part 1: Unit 2

    Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, Data Import/Export, JSON, Object Oriented Programming (OOP), Data Access, Extensible Markup Language (XML), Data Modeling, Data Collection, Extensible Languages and XML, Systems Integration, Application Programming Interface (API), Relational Databases

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neurohacking In R

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, R (Software), Neurology, R Programming, Radiology, Image Quality, Data Processing, Software Visualization, Scientific Visualization, Data Preprocessing, Data Transformation, Data Import/Export, Package and Software Management

    4.6
    Rating, 4.6 out of 5 stars
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    315 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    C

    Coursera

    GenAI for Everyone

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, AI Enablement, AI powered creativity, Artificial Intelligence, Creative Problem-Solving, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
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    195 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Calculating Descriptive Statistics in R

    Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Histogram, R (Software), Statistical Methods, Statistical Programming, Probability & Statistics, Descriptive Analytics, Statistics, Statistical Software, Data Science

    4.8
    Rating, 4.8 out of 5 stars
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    52 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

    Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Model Evaluation, Apache Spark, Data Integration, SQL, Dataflow, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
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    125 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    R

    Rice University

    Introduction to Data Analysis Using Excel

    Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Presentation, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    L

    Logical Operations

    Power BI: Data Analysis, Reporting, and Connecting

    Skills you'll gain: Power BI, Business Reporting, Microsoft Power Platform, Business Intelligence, Business Intelligence Software, Data Visualization Software, Data Analysis, Microsoft Excel, Data Analysis Software, Data Modeling, Data Integration, Data Access, Self Service Technologies, Data Management, Microsoft PowerPoint, Microsoft 365

    4.1
    Rating, 4.1 out of 5 stars
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    8 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Foundations for Everyone

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, Generative Model Architectures, AI Workflows, LLM Application, Application Deployment, AI literacy, Machine Learning Software, Natural Language Processing, Business Workflow Analysis, Workflow Management, No-Code Development, Artificial Intelligence, Machine Learning, Deep Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    36K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Leeds

    Data Science: Ethical decision-making in practice

    Skills you'll gain: Data Ethics, Ethical Standards And Conduct, Data-Driven Decision-Making, Responsible AI, Risking, Analytical Skills, Research Methodologies

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Plot (Graphics), Box Plots, Data Analysis, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Data Literacy, Statistical Visualization, Seaborn, Descriptive Analytics, Analytical Skills, Statistical Analysis, Correlation Analysis, Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Mastering Geospatial Data Science: From Beginner to Expert

    Skills you'll gain: GIS Software, Model Evaluation, Geographic Information Systems, Extract, Transform, Load, Spatial Analysis, Data Visualization, Spatial Data Analysis, Geospatial Mapping, Data Pipelines, Geospatial Information and Technology, Apache Airflow, Geostatistics, Interactive Data Visualization, Scientific Visualization, Data Visualization Software, Cloud Computing, Leaflet (Software), Environmental Monitoring, Pandas (Python Package), Python Programming

    Beginner · Specialization · 3 - 6 Months

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

  • Materials Science for Advanced Technological Applications: Arizona State University
  • Data Science Fundamentals Part 1: Unit 2: Pearson
  • Introduction to Neurohacking In R: Johns Hopkins University
  • GenAI for Everyone: Coursera
  • Calculating Descriptive Statistics in R: Coursera
  • Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs: Google Cloud
  • Introduction to Data Analysis Using Excel: Rice University
  • Power BI: Data Analysis, Reporting, and Connecting: Logical Operations
  • AI Foundations for Everyone: IBM
  • Data Science: Ethical decision-making in practice: University of Leeds

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