Basic tutorial series
Welcome to the basic data.world tutorials! There are many great reasons why to use data.world, and in these tutorials we're going to walk through how to use it. The basic tutorials are written in logical, manageable chunks of information explaining the basic concepts of the data.world platform. The exercises at the end of each tutorial are completed on data.world. You will need a data.world login, (available for free here if you do not have one) to do the tutorial exercises. Each tutorial follows the format of:
Introduction - Contains a brief introduction to the topic of the tutorial including terminology introduced in it.
Requirements - A list of tangible work from previous tutorials needed to complete this tutorial, and links to sample files you can use if you did not complete the previous tutorials.
Objectives - The learning goals of the tutorial. After working through the tutorials you should be able to:
Understand the terms used to describe data and data analysis
Find data relevant to your needs on data.world
Add, document, and share your own datasets
Create a project to work with your data
Produce visualizations of your data
Main body - The main body of the tutorial with all documentation and screenshots necessary to complete the exercise.
Exercises - One or more practice exercises that walk through all the material presented in the tutorial. The output of an exercise is often the basis for a future tutorial's exercise.
Best practices (optional) - If there are many ways to do something and we have suggestions for the best way to do it, they will be here.
Conclusion - A quick recap of the tutorial.
How to use the tutorials
The tutorials are ordered and presented in a natural progression for learning data.world from the ground up. Those that cover the main aspects of working with data.world are in the Basics section, and are numbered (e.g., 1.) Secondary or expert skills are found in the Advanced tutorials section. If you have already been using the platform and know the basics, you can jump around the tutorials to fill in any gaps or expand your knowledge. The entire tutorial series is based on a project using the Bee Colony Statistics dataset. Each person who uses the tutorials will need to create their own project using that dataset.
Though the exercises in each tutorial build on the work done in previous tutorials, all of the tutorials are also stand-alone--we provide the files, queries, datasets, etc. needed to do the tutorial if you did not create them in a previous tutorial. The only action that everyone must complete on their own is to create the project. The project is the container for all the exercises, and each person working through them must have their own project.
Objectives
After working through the tutorials you should be able to:
Understand the terms used to describe data and data analysis
Find data relevant to your needs on data.world
Add, document, and share your own datasets
Create a project to work with your data
Produce visualizations of your data