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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


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    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    720 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Board Infinity

    AI & Automation for Supply Chain Resilience

    Skills you'll gain: Inventory and Warehousing, Supply Chain Management, Business Continuity, Forecasting, Predictive Analytics, Logistics, Automation, Logistics Management, Real Time Data, Risk Mitigation, Risk Management, Case Studies, Business Ethics, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Data Privacy and Protection Standards

    Skills you'll gain: Information Privacy, General Data Protection Regulation (GDPR), Personally Identifiable Information, Data Security, Data Governance, Data Ethics, Data Loss Prevention, Security Controls, Regulatory Compliance, Compliance Management, Compliance Training, Data Integrity, Security Strategy, Regulatory Requirements, Employee Training

    4.8
    Rating, 4.8 out of 5 stars
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    35 reviews

    Beginner · Course · 1 - 4 Weeks

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    University of Michigan

    Answering Interesting Questions with Data

    Skills you'll gain: Relational Databases, Databases, Data Visualization Software, Web Scraping, Data Science, Scatter Plots, Data Manipulation, SQL, Data Processing, JSON, Application Programming Interface (API), Data Import/Export, Python Programming, Extensible Markup Language (XML), Hypertext Markup Language (HTML)

    Intermediate · Course · 1 - 4 Weeks

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    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Portfolio Risk, Financial Market, Time Series Analysis and Forecasting, Risk Management

    3.5
    Rating, 3.5 out of 5 stars
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    246 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Foundations of Data Analysis with Pandas and Python

    Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Python Programming, Data Structures, Development Environment, Object Oriented Programming (OOP)

    4.7
    Rating, 4.7 out of 5 stars
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    30 reviews

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Practical Engineering Data Mining: Techniques and Uses

    Skills you'll gain: Data Mining, Exploratory Data Analysis, Model Evaluation, Dimensionality Reduction, Data Preprocessing, Data Cleansing, Data Transformation, Data-Driven Decision-Making, Predictive Analytics, Forecasting, Big Data, Data Analysis, Applied Machine Learning, Statistical Analysis, Classification Algorithms, Data Visualization Software, Unsupervised Learning, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Pandas with Python: Analyze, Transform & Export Data

    Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Time Series Analysis and Forecasting, Data Import/Export, Jupyter, Microsoft Excel, Data Transformation, Matplotlib, Data Analysis, NumPy, Data Cleansing, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
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    7 reviews

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Traverse Trees for ML with DFS & BFS

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering

    Advanced · Course · 1 - 4 Weeks

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    Coursera

    Agentic AI Content for Practitioners: Marketing

    Skills you'll gain: Prompt Engineering, Marketing Automation, AI Personalization, Marketing Effectiveness, Marketing, Content Marketing, Marketing Strategies, MarTech, Advertising Campaigns, Agentic Workflows, AI Enablement, Marketing Analytics, Customer Relationship Management, Data-Driven Decision-Making, Social Media Management, Customer experience improvement

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Talend Data Integration: Build & Automate Workflows

    Skills you'll gain: Extract, Transform, Load, Data Integration, Databases, Data Warehousing, Data Import/Export, Data Migration, Data Manipulation, Data Mapping, Software Installation, Data Transformation, Version Control

    Mixed · Course · 1 - 4 Weeks

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    Packt

    Data Structures in JavaScript

    Skills you'll gain: JSON, Data Structures, Javascript, Application Programming Interface (API), Computer Programming, Object Oriented Programming (OOP), Debugging

    Intermediate · Course · 1 - 4 Weeks

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

  • TensorFlow 2 for Deep Learning: Imperial College London
  • AI & Automation for Supply Chain Resilience: Board Infinity
  • Data Privacy and Protection Standards: Coursera
  • Answering Interesting Questions with Data: University of Michigan
  • Reinforcement Learning for Trading Strategies: New York Institute of Finance
  • Foundations of Data Analysis with Pandas and Python: Packt
  • Practical Engineering Data Mining: Techniques and Uses: Northeastern University
  • Pandas with Python: Analyze, Transform & Export Data: EDUCBA
  • Traverse Trees for ML with DFS & BFS: Coursera
  • Agentic AI Content for Practitioners: Marketing: Coursera

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