How Challenges will impact my machine learning skills?

Practice, Practice, Practice

The 10,000 hour rule reflects the idea to obtain elite performance levels with enough practice. Data-Driven Science gives you the opportunity to do exactly that.

Learn application not just theory

Practical application is the holy grail of learning. Just knowing the theory and concepts of machine learning won’t make you a good data scientist. Period.

Work with data like in the real-world

Ideally data would always be as clean and structured as in Kaggle competitions. However, the industry requires you to work with pretty messy data sometimes. Time to learn it.

Make yourself a real-life problem solver

Everyone loves problem solving skills. Why? Because you are able to come up with new and creative solutions to any problem. Challenges help you developing that critical skill.

Finish always with an achievement

Challenges have a clear goal and always end with a result that demonstrates your newly learned skill. Now you can take this accomplishment and move on to the next Challenge.

Build new skills through a learning habit

Learning a little each day adds up. Research shows that students who make learning a habit are more likely to reach their goals. Challenges are ideal for building new habits.