# Wrap Up: Basics 101[¶](https://knowledge.dataiku.com/latest/courses/basics/basics-101-course-complete.html#wrap-up-basics-101 "Permalink to this headline")

## Congratulations![¶](https://knowledge.dataiku.com/latest/courses/basics/basics-101-course-complete.html#congratulations "Permalink to this headline")

You’ve just completed the **Basics 101** course, where you gained experience in working with Dataiku DSS. Here are a few of the main takeaways from this course:

* The project homepage is where you land after you create or open a project. It acts as your command center.

* Creating a dataset can mean uploading a file or simply informing Dataiku DSS of how it can access an external source dataset.

* When looking at or working interactively with your data, Dataiku DSS only shows a sample of it.

* Columns in the dataset have both storage types and meanings. The storage type tells DSS how the original data is stored while the meaning reflects the nature of the values of the column.

* Visualization is a key tool in the data exploration and discovery process. The Charts tab of a Dataiku dataset houses a simple drag and drop interface for visual exploration. Charts help you answer questions about your data.

## Learn More[¶](https://knowledge.dataiku.com/latest/courses/basics/basics-101-course-complete.html#learn-more "Permalink to this headline")

Continue to the Basics 102 course in the Core designer learning path. In Basics 102, we build upon the project from Basics 101 by preparing the data using recipes, performing a statistical analysis, and then exploring the Flow.
