Track
Intermediate Tidyverse Toolbox
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Loved by learners at thousands of companies
Training 2 or more people?
Try DataCamp for BusinessTrack Description
Intermediate Tidyverse Toolbox
Prerequisites
There are no prerequisites for this trackCourse
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.
Course
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.
Complete
Earn Statement of Accomplishment
Add this credential to your LinkedIn profile, resume, or CVShare it on social media and in your performance reviewEnroll Now
FAQs
Is this Track suitable for beginners?
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.
What is the programming language of this Track?
The programming language of the Intermediate Tidyverse Toolbox track is R.
Which jobs will benefit from this Track?
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.
How will this Track prepare me for my career?
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.
How long does it take to complete this Track?
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.
What's the difference between a skill track and a career track?
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.
Do I need any additional software for this Track?
No, all the necessary software to complete the Intermediate Tidyverse Toolbox track is provided by DataCamp.
What kind of support will I get when taking this Track?
The Intermediate Tidyverse Toolbox track is supported by industry professionals that are available to answer any questions users have while taking the track.
Join over 19 million learners and start Intermediate Tidyverse Toolbox today!
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Grow your data skills with DataCamp for Mobile
Make progress on the go with our mobile courses and daily 5-minute coding challenges.