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Overview
Context
Take your tidyverse skills to the next level. This Intermediate Tidyverse Toolbox course offered by Data Camp covers getting your data in the right condition to start your analyses, writing better code with functional programming, and generating, exploring, and evaluating models. And you'll do all of this in the wonderful and clean world of the tidyverse.
What you will do during this course:
- Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data
- Learn to easily summarize and manipulate lists using the purrr package.
- Continue learning with purrr to create robust, clean, and easy to maintain iterative code.
- Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.
Programme Structure
Courses
- Dealing With Missing Data in R
- Functional Programming with purrr
- Intermediate Functional Programming with purrr
- Machine Learning in the Tidyverse
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Web Technologies & Cloud Computing View 417 other Short Courses in Web Technologies & Cloud Computing in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- There are no prerequisites for this track
- 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.
- 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.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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