See what your basic R installation offers for data wrangling including the apply function family (
mapply) for loops and transformations, split, and combine (match, merge). Join datasets using
merge and compute summaries of your dataset using
Learn to use the basic dplyr verbs to filter rows, select columns and sort/arrange datasets in combination with the pipe
%>% operator. Tidy your data with more complex transformations and apply various join operators.
Do assignments, joins and aggregations faster with data.table using various optimizations including keys and re-use of objects in memory (no copy).
Re-cap of the Grammar of Graphics implemented in ggplot2 syntax using geometric objects, aesthethic mappings and facet plots.
Transform large and complex data sets using base-R and popular libraries like dplyr and data.table. Master dplyr verbs quickly and build data processing pipelines for modelling and plotting. Unleash the power of data.table with optimized, lightning fast merges and queries and see how it compares to dplyr and base-R in terms of speed and usability.
Convert your data to different layouts (e.g. 3rd normal form aka tidy data) using packages like reshape2. Plot your data sets with base-R, and ggplot2. See how every single detail of base-R plots can be customized. Learn advanced ggplot2 skills by creating your own geoms and customize themes for your corporate identity. Tell compelling stories and transport your data insights clearly through great visualizations. Make your visualizations even more appealing through interactive plots created with packages like plotly or r2d3.
The Quantargo certificate in “Advanced Data Wrangling and Visualization” demonstrates that your are literate in the topics covered by this course. You have...
We have built a complete online Learning Hub with hands-on quizzes, code exercises and viedeos and an online Workspace that lets you immediately apply learned skills by trying out code.
Track progress and learn in your own pace with our interactive tutorials. In the CourseCockpit you’ll find all assets and course materials.
A complete RStudio environment to try out new ideas and play around with different packages and features. All files are synced automatically.