R Ultimate 2024 - R for Data Science and Machine Learning Specialization
Basics to Deep Learning & Data Science using R. Indulge in data transformation/modeling with R basics, data science techniques, statistical machine learning models, deep learning, and Shiny app development. Elevate your skills with real-world challenges in this R Ultimate journey
Instructor: Packt - Course Instructors
Included with 
Recommended experience
What you'll learn
Recall and describe R basics and advanced data science techniques
Explain methods to transform, visualize, and aggregate data with precision
Use ggplot, Plotly, and leaflet to craft compelling visuals
Develop dynamic web apps using R Shiny for engaging user experiences
Skills you'll gain
- Deep Learning
- Dimensionality Reduction
- Artificial Neural Networks
- Data Import/Export
- Image Analysis
- Statistical Analysis
- Reinforcement Learning
- Data Manipulation
- Interactive Data Visualization
- Web Scraping
- Artificial Intelligence
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning Algorithms
- Applied Machine Learning
Details to know
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- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Packt
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Frequently asked questions
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,