Practice Your Data Science Skills
Application-Focused Challenges for ML Practitioners 🌟 Level up your Machine Learning Skills and Grow your Data Science Career 🔥
Use key tools, libraries and frameworks
Hands-on Learning with Data Science Challenges 🦾
Challenges are all about practicing ML problems, learning state-of-the-art methods, and progressing in your data science career. You will develop the competencies and skills needed in the industry.
It's never been easier to reach the next level as a data-driven software engineer and ML practitioner!
What makes Challenges different from online courses
Data-Driven Science Challenges
Traditional Online Courses
How Challenges will impact your machine learning skills
You are not alone – the Data-Driven Science Community will be your learning buddy throughout every Challenge. Other students, alumni and mentors will help you get your questions answered and allow you to collaborate with peers whenever you need.
In every Challenge you will work on actual data science projects and develop your own solution. Share your project results with your social network and put them on your GitHub profile. This will be super helpful for your next job application. Promise!
Practicing your data science skills will be a real boost for your career. You will be able to solve ML problems in the industry faster and become much more valuable for any company that is seeking talent with experience in the application of state-of-the-art models and methods.
Frequently Asked Questions
A Challenge is a goal-oriented learning journey that teaches in-demand machine learning skills through hands-on practice in an interactive and engaging way. You work with state-of-the-art methods, real-world data sets, and apply your skills to industry problems. Challenges will support your career growth by building critical data science competencies.
Absolutely not. Online courses continue to be very important for building fundamental knowledge and are crucial for your data science education. However, Challenges will take you to the next level by allowing you to practice in-demand machine learning skills through hands-on projects. Overall, Challenges are more similar to data science competitions than online courses.
Anyone who already has some basic knowledge in machine learning and wants to hone their skills by regularly joining new Challenges – because practice is the only way to become truly proficient. Active skills development is key to build highly sought-after competencies and progress in your data science career.
Most Challenges are on-demand and we structure them in a way so that they are self-explanatory with links to resources and supplemental material. In addition, we have set up channels for all Challenges in our online community where you can directly connect with us and other students. There will also be periodic live events to answer questions.