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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
    Free Trial
    A

    Arizona State University

    Data Analysis and Visualization with Python

    Skills you'll gain: Matplotlib, File I/O, NumPy, Plot (Graphics), Pandas (Python Package), Data Structures, Data Visualization Software, Data Analysis, Python Programming, Data Processing, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    PwC

    Problem Solving with Excel

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Spreadsheet Software, Data Validation, Data Analysis Software, Data Analysis, Statistical Analysis, Financial Analysis, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Database to AI: Practical Data Analytics Integration

    Skills you'll gain: Database Management Systems, Data Modeling, Database Design, Database Systems, Big Data, Unified Modeling Language, Database Architecture and Administration, Data Storage Technologies, Data Management, Apache Hadoop, Apache Spark, Conceptual Design

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Streaming Data to Bigtable

    Skills you'll gain: Dataflow, Google Cloud Platform, NoSQL, Cloud Storage, Data Pipelines, Data Integration, Data Storage Technologies, Data Processing, Big Data, Data Validation

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    K

    KodeKloud

    Jenkins for Beginners

    Skills you'll gain: Jenkins, CI/CD, Continuous Integration, Systems Administration, Command-Line Interface, Continuous Delivery, Software Development, Continuous Deployment, DevOps, Software Development Tools, Software Installation, User Accounts, Server Administration, Operating System Administration, Configuration Management, Data Integrity

    3.5
    Rating, 3.5 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    O

    Oracle

    Oracle Data Platform Foundations Associate

    Skills you'll gain: Oracle Databases, Oracle Cloud, Data Architecture, Database Architecture and Administration, Data Migration, Data Lakes, NoSQL, Database Application, Cloud Applications, MySQL, Data Security, Application Development, Analytics, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Introduction to Generative AI in Finance

    Skills you'll gain: Generative AI, Fraud detection, AI Personalization, Financial Regulation, Predictive Analytics, Financial Services, Personalized Service, Financial Forecasting, Financial Trading, Retail Banking, Financial Reporting, Compliance Management, Artificial Intelligence, Risk Analysis, Emerging Technologies, Automation

    3.6
    Rating, 3.6 out of 5 stars
    ·
    68 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Azure Data Engineering: Cosmos DB, SQL & Analytics

    Skills you'll gain: Dashboard, Azure Synapse Analytics, Microsoft Azure, Data Storage Technologies, Microsoft SQL Servers, Data Storage, Data Architecture, Performance Tuning, Query Languages, SQL, NoSQL, Data Processing, Cloud Solutions, Analytics, Cloud Computing Architecture, Process Optimization, Data Pipelines, Real Time Data, Data Modeling, System Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Statistical Modeling

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Engineer Features and Evaluate Models for Production

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Healthcare Ethics, Machine Learning, Artificial Neural Networks, Data Ethics, Healthcare Industry Knowledge, Data Preprocessing, Health Care, Deep Learning, Convolutional Neural Networks, Supervised Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    610 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Interviewing for DS/AI Roles

    Skills you'll gain: Goal Setting, Interviewing Skills, Professional Networking, Artificial Intelligence and Machine Learning (AI/ML), Negotiation, Workforce Planning, Professional Development, LinkedIn, Artificial Intelligence, Machine Learning, Productivity, Talent Sourcing, Compensation and Benefits, Data Science, Data Analysis, Recruitment, Data Architecture, Presentations, Technical Management, Big Data

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20 reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Data Analysis and Visualization with Python: Arizona State University
  • Problem Solving with Excel : PwC
  • Database to AI: Practical Data Analytics Integration: Northeastern University
  • Streaming Data to Bigtable: Google Cloud
  • Jenkins for Beginners: KodeKloud
  • Oracle Data Platform Foundations Associate: Oracle
  • Introduction to Generative AI in Finance: Coursera
  • Azure Data Engineering: Cosmos DB, SQL & Analytics: Coursera
  • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
  • Engineer Features and Evaluate Models for Production: Coursera

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