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Data Science and Machine Learning with R from A-Z Course [Updated for 2021]
Become a professional data scientist with R and learn machine learning from scratch
Created by Juan E. Galvan
Explore how to analyze and visualize data using R, even if you're brand new to programming. You'll set up your own statistical environment, work with real data, and build a strong foundation in both theory and practical application. By the end, you'll be ready to tackle real-world data science and machine learning projects.
Packt | Apr 2021 | 1730 min
What You Will Learn
You'll start by setting up R and learning the basics of programming, then move on to importing, cleaning, and visualizing data. Step-by-step guidance helps you build and test machine learning models, while practical exercises reinforce each concept. By applying what you learn to real scenarios, you'll gain confidence and practical skills.
Key Features
- Clean, process, and visualize data using R for real-world analysis
- Build and evaluate machine learning models with hands-on projects
- Automate data tasks and generate dynamic reports to boost productivity
Target Audience
Perfect for beginners interested in data science, analytics, or machine learning. If you have little or no experience with R or programming, you'll find clear explanations and practical examples. Ideal for those aiming to start a career in data science or add valuable skills to their resume.
