Python for Data Science For Dummies, 2nd Edition

Chapter 22

Ten Data Challenges You Should Take

IN THIS CHAPTER

Locating starting challenges

Working with specific kinds of data

Performing analysis, pattern recognition, and classification

Dealing with huge online datasets

Data science is all about working with data. While working through this book, you have used a number of datasets, including the toy datasets that come with the Scikit-learn library. Of course, these datasets are all great for getting you started, but just as a runner wouldn’t stop after conquering the local fun run, so you need to start training for data science marathons by working with larger datasets.

This chapter introduces you to a number of challenging datasets that can help you become a world-class data scientist. By combining what you discover in this book with these new datasets, you can learn how to do amazing things. In fact, some people may view you as a bit of a magician as you pull seemingly impossible data patterns out of your hat. Each of the following datasets provides you with specific skills and helps you achieve different goals.

You can find ...