# Wrap Up: Basics 102[¶](https://knowledge.dataiku.com/latest/courses/basics/basics-102-course-complete.html#wrap-up-basics-102 "Permalink to this headline")

## Congratulations![¶](https://knowledge.dataiku.com/latest/courses/basics/basics-102-course-complete.html#congratulations "Permalink to this headline")

You’ve just completed the **Basics 102** course, where you gained experience in working with Dataiku DSS. Here are a few of the main takeaways from this course:

* Recipes are used to transform your data. Recipes contain the processing logic that DSS uses to act upon datasets. Recipes keep the processing logic separate from datasets.

* Statistical tasks help you explore your dataset. A statistics worksheet provides a visual summary of exploratory data analysis tasks. Cards in a worksheet provide a straightforward way to explore your dataset while keeping your workspace well organized.

* You can use the Group By recipe when you want to create an output file that aggregates values based on a particular column.

* In DSS, you can trace the dependencies among items in the Flow.

* Since the DSS Computation Engine works with a sample of your dataset, you get quick feedback while working on your preparation steps.

* The Jobs log lets you look for bottlenecks so that you can debug potential errors when you are building the Flow.

## Learn More[¶](https://knowledge.dataiku.com/latest/courses/basics/basics-102-course-complete.html#learn-more "Permalink to this headline")

Continue to the Basics 103 course in the Core designer learning path. In Basics 103, we continue working with Haiku T-shirts to enrich the data and use the Lab to create a visual analysis.
