Description
Data Science, Analytics and Machine Learning with R-Academic Press (2023)
Data Science with R is an essential skill for anyone looking to analyze data, build predictive models, and leverage machine learning techniques. This comprehensive guide provides you with the skills needed to excel in data science, analytics, and machine learning using the R programming language, covering key concepts and real-world applications.
What You’ll Learn in This Course
- Introduction to R programming for data analysis and visualization
- Understanding and applying statistical methods in data science
- Exploring data preprocessing and cleaning techniques in R
- Machine learning algorithms in R: decision trees, regression, clustering
- Building and evaluating predictive models using R
- Advanced analytics techniques: time series forecasting and neural networks
- Using R for data visualization with ggplot2 and Shiny
- Practical hands-on projects in data science, analytics, and machine learning
Who Should Take This Course?
- Data scientists and analysts interested in learning R for data analysis and machine learning
- Beginners looking to start their journey in data science using R
- Experienced professionals looking to improve their R programming skills for analytics and machine learning
- Researchers and engineers working with large datasets
Course Description:
This course offers an in-depth guide to mastering data science and machine learning using R. It covers everything from the basics of data manipulation and visualization to implementing sophisticated machine learning algorithms and building predictive models. Whether you’re new to data science or looking to expand your existing knowledge, this course will help you achieve your goals.
Through hands-on coding exercises, real-world examples, and comprehensive theoretical explanations, you’ll gain practical skills in analytics, machine learning, and data-driven decision-making. By the end of the course, you’ll be able to use R confidently for data analysis and machine learning tasks in various industries, including finance, healthcare, marketing, and more.
About the Author
Authored by experts in data science and machine learning, this guide provides clear, step-by-step instructions to mastering R programming. With a focus on practical learning, the course includes numerous projects and exercises to reinforce the concepts taught throughout.
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