Basic to advanced studies in deep learning and data science using R. Delve into data preparation, data science techniques, statistical machine learning models, deep learning, and Shiny app development. Level up your skills with hands-on challenges on an advanced journey into the world of R.
Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
R is a programming language and environment designed for statistical calculations, data analysis, and graphical representation. It is widely used by:
The course guides learners through R programming, from the basics to advanced techniques. It covers:
Learners will master the secrets of data visualization using leading packages, statistical analysis, hypothesis testing, and regression models.
The course also includes:
Additionally, it covers machine learning with:
The course concludes with creating dynamic web applications using Shiny. It is intended for:
The course is suitable for different levels of experience. The prerequisites include previous programming experience, but the course is also suitable for learners with different levels of familiarity with data science and R programming.
The projects included in “R Ultimate 2023 – R for Data Analysis and Machine Learning” are designed to provide hands-on experience with real-world data analysis and machine learning tasks.
Learners will use their skills to solve real-world problems, such as:
Which will allow them to transform raw data into meaningful insights and interactive applications.
