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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
    D

    DeepLearning.AI

    Applied Statistics for Data Analytics

    Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), LLM Application, Spreadsheet Software

    4.9
    Rating, 4.9 out of 5 stars
    ·
    54 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    328 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Business Intelligence (BI) Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Real Time Data, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Responsible AI, AI Personalization, SQL, Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Infosec

    Python for Cybersecurity

    Skills you'll gain: MITRE ATT&CK Framework, Cyber Threat Hunting, Threat Detection, Endpoint Detection and Response, Cybersecurity, Network Security, Cyber Security Strategy, System Monitoring, Cyber Operations, Threat Management, Continuous Monitoring, Cyber Threat Intelligence, Exploitation techniques, Data Persistence, Scripting, Network Monitoring, Persistence, Python Programming, Data Access, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    544 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Graph Analytics for Big Data

    Skills you'll gain: Graph Theory, Database Design, Big Data, Network Analysis, Analytics, Data Management, Query Languages, Computing Platforms, Scalability, Unsupervised Learning, Distributed Computing, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Data Frameworks for Generative AI

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Enterprise Architecture, AI Enablement, Metadata Management, Data Science, Machine Learning

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    PowerBI for Beginners: Data transformation

    Skills you'll gain: Power BI, Data Transformation, Data Preprocessing, Data Manipulation, Data Cleansing, Feature Engineering, Data Integration, Predictive Modeling, Data Quality

    4.8
    Rating, 4.8 out of 5 stars
    ·
    24 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Customer Data Analytics for Marketers

    Skills you'll gain: Marketing Analytics, Probability & Statistics, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Statistical Analysis, Marketing Effectiveness, Statistical Hypothesis Testing, Customer Insights, Customer Analysis, Correlation Analysis, Descriptive Statistics, Data Analysis, Analytics, Marketing Strategies, Exploratory Data Analysis, Statistical Visualization, Statistical Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Data Structures and Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Public Key Cryptography Standards (PKCS), Cryptography, Programming Principles, Computational Thinking, Pseudocode, Design Strategies, Computer Science, Tree Maps, Encryption, Linear Algebra, Combinatorics, Mathematical Modeling, Advanced Mathematics, IBM Cloud, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    912 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Sales Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Sales Strategy, Sales Presentation, Sales Enablement, Sales Training, Sales Pipelines, Sales Management, Lead Generation, Sales Prospecting, LinkedIn, B2B Sales, Prospecting and Qualification, Responsible AI, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Marketing Collateral

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • B

    Ball State University

    Master of Science in Computer Science

    Skills you'll gain: Data Ethics, Full-Stack Web Development, Graph Theory, Data Collection, Supervised Learning, Software Development Methodologies, File Systems, SQL, Statistical Methods, Data Wrangling, Theoretical Computer Science, Application Security, Cryptography, Object Oriented Programming (OOP), Statistical Hypothesis Testing, Text Mining, Artificial Intelligence, Data Visualization, Natural Language Processing, R Programming

    Earn a degree

    Degree · 1 - 4 Years

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

  • Applied Statistics for Data Analytics: DeepLearning.AI
  • Machine Learning for Data Analysis: Wesleyan University
  • Generative AI for Business Intelligence (BI) Analysts: IBM
  • Python for Cybersecurity: Infosec
  • Graph Analytics for Big Data: University of California San Diego
  • Data Frameworks for Generative AI: Fractal Analytics
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • PowerBI for Beginners: Data transformation: Coursera
  • Customer Data Analytics for Marketers: University of Colorado System
  • Foundations of Data Structures and Algorithms: University of Colorado Boulder

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