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
MathWorks
Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Data Visualization, Plot (Graphics), Supervised Learning, Dimensionality Reduction, Data Presentation, Data Integration, Scientific Visualization, Statistical Visualization, Data Preprocessing, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Classification Algorithms, Model Training, Technical Communication, Data Analysis, Machine Learning Methods
Skills you'll gain: Plotly, Pandas (Python Package), Plot (Graphics), Interactive Data Visualization, Data Visualization, Data Analysis, Data Visualization Software, Restful API, Application Programming Interface (API), Python Programming, Data Manipulation, Data Validation, Context Management
Skills you'll gain: Data Wrangling, Data Mining, Classification Algorithms, Data Storage, Logistic Regression, Model Evaluation
John Wiley & Sons
Skills you'll gain: Statistics, Probability & Statistics, Data Analysis, Statistical Methods, Data Literacy, Data Collection, Unsupervised Learning, Text Mining, Analytical Skills, Statistical Inference, Unstructured Data, Probability, Predictive Modeling, Data Science, Deep Learning, Machine Learning, Machine Learning Methods, Data Visualization, Business Communication, Communication
University of California, Irvine
Skills you'll gain: Supply Chain Planning, Demand Planning, Customer Demand Planning, Inventory Control, Inventory Management, Supply Chain Management, Supply Chain, Capacity Planning, Inventory and Warehousing, Materials Management, Process Optimization, Resource Utilization, Forecasting, Operations Management, Material Requirements Planning, Resource Planning, Resource Allocation, Capacity Management, Microsoft Excel, Performance Measurement
Illinois Tech
Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Machine Learning Algorithms, Model Evaluation, Data Visualization, Data Science, Exploratory Data Analysis, Data Presentation, Statistical Programming, Statistical Methods, Statistical Machine Learning, Analysis, Statistical Modeling, Applied Machine Learning, R (Software), R Programming, Statistical Software, Forecasting, Machine Learning
Skills you'll gain: Data Visualization, Statistical Visualization, Ggplot2, Plot (Graphics), R (Software), R Programming, Scatter Plots, Data Collection, Graphing, Data Analysis, Data Manipulation, Data Access, Data Import/Export, Regression Analysis, Data Structures, Development Environment, Software Installation
Microsoft
Skills you'll gain: Data Cleansing, Data Manipulation, Data Preprocessing, Data Transformation, Data Wrangling, Data Quality, Tidyverse (R Package), R Programming, Data Import/Export, Generative AI, Data Validation, AI literacy, Text Mining, Data Pipelines, grep, Anomaly Detection
Skills you'll gain: Object Oriented Programming (OOP), Matplotlib, Plot (Graphics), Seaborn, File I/O, Data Visualization Software, NumPy, Python Programming, Code Reusability, Pandas (Python Package), Data Analysis, Program Development, Data Import/Export, Data Processing, JSON, Package and Software Management, Data Manipulation
Skills you'll gain: Data Store, Data Architecture, Apache Hadoop, Extract, Transform, Load, Relational Databases, Big Data, Data Storage, Databases, Operational Databases, Apache Spark, Data Storage Technologies, Data Lakes, Data Warehousing, Data Governance, Data Pipelines, Data Integration, Data Processing, SQL, NoSQL, Data Science
Coursera
Skills you'll gain: Ggplot2, Plot (Graphics), Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation, Statistical Visualization, R (Software), Data Analysis, Data Management, Pivot Tables And Charts
Yonsei University
Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geospatial Information and Technology, Geographic Information Systems, Geospatial Mapping, GIS Software, Database Management Systems, Big Data, Database Systems, Apache Hadoop, Data Modeling, PostgreSQL, Network Analysis
In summary, here are 10 of our most popular r for data science courses
- Practical Data Science with MATLAB: MathWorks
- Advanced Python Techniques for Data Science & AI: Packt
- Survey of Data Science: Packt
- Data Science and Machine Learning for Business Professionals: John Wiley & Sons
- Leverage Data Science for a More Agile Supply Chain: University of California, Irvine
- Introduction to Data Science Techniques: Illinois Tech
- How to Visualize Data with R: Packt
- Data Manipulation and Cleaning in R: Microsoft
- Python Programming And Libraries for Data Science: Packt
- Introduction to Data Engineering: IBM
