Track
Learn to build machine learning models more effectively using more efficient code and clean data in the tidyverse.
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Make progress on the go with our mobile courses and daily 5-minute coding challenges.
Course
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.
Course
Learn to easily summarize and manipulate lists using the purrr package.
Learn to easily summarize and manipulate lists using the purrr package.
Course
Continue learning with purrr to create robust, clean, and easy to maintain iterative code.
Continue learning with purrr to create robust, clean, and easy to maintain iterative code.
Course
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.
Intermediate Tidyverse Toolbox
Track
Complete
Course Instructor
No, the Intermediate Tidyverse Toolbox track is not suitable for beginners. It covers advanced topics such as foundations of Functional Programming, Intermediate Functional Programming, Dealing with Missing Data and Machine Learning with R language. It's recommended to have some prior knowledge and experience working with Tidyverse concepts before taking this track.
The programming language of the Intermediate Tidyverse Toolbox track is R.
This track is suitable for aspiring and experienced data scientists, as well as those planning to pursue a career in data engineering, statisticians, analysts or data miners. It will equip them with the tools and techniques to perform machine learning tasks in the tidyverse.
The Intermediate Tidyverse Toolbox track will enhance and deepen the core skill set for topical areas such as data-driven programming, machine learning, and data analysis. This will help users to become proficient in the domains and be best equipped for their data professional career.
On average, this track takes 17 hours to complete. The individual courses in the track will also vary in the amount of time it takes to cover them.
A skills track focuses on a set of specific topics and is a great way for users to quickly acquire relevant knowledge within a specific domain. A career track is more comprehensive and includes a wider set of topics. It is designed to equip users with the necessary skills and knowledge to improve their current career prospects or to move up to the next level.
No, all the necessary software to complete the Intermediate Tidyverse Toolbox track is provided by DataCamp.
The Intermediate Tidyverse Toolbox track is supported by industry professionals that are available to answer any questions users have while taking the track.
The tracks helped me complete my journey without feeling lost. Each course builds on the last, keeping me motivated and on track
DataCamp helped me transition from someone curious about data to someone actively applying these skills in my job
I've been using DataCamp for four years, and it's helped me transition from filling gaps in my skills to proactively creating value for my company
