Data science and data in general, is the new language the professional world is speaking. And like any new language (natural or programming), practice and perseverance make perfect. If you are one of the 1 million + people learning data science on DataCamp or are thinking about it, this article is for you.
There are common best practices that data science learners should share. Whether they are seeking to improve their careers, or are learning for fun. We focus on creating a learning environment to help you succeed in achieving your goals. We’ve created interactive courses, a learning community, walkthroughs, and tutorials. And now, we’ve added Practice Mode.
In this post, we’ll cover 7 reasons why you need to use Practice mode and how it can help you.
(Wondering what DataCamp’s practice mode is? Check out last week’s post introducing the features and functionalities.)
1. Learning Data Science By Doing
Learning by doing is a pillar of DataCamp’s philosophy behind learning. We all share this idea at DataCamp. What better way to do than by practicing through challenges? We incorporate this idea in all the products we build. Practice Mode is another way for us to further this learning concept.
2. Gaining Deeper Insights
You will achieve a better understanding of DataCamp’s course content. Making your time spent more efficient learning new concepts. Practice mode gives you a deeper insight into the language’s structure and syntax and offers a chance to look at the content from a different perspective.
3. Maintaining Motivation
Learning data science is hard. With Practice Mode, we introduce variety in difficulty and in the way content is presented. Multiple choice questions, reproducing input to match output and vice versa... With more variety, you have more fun! You will get rewarded for your hard work which will keep your motivation strong!
4. Immersing Yourself into Data Science
Looking for a quick and effective way to immerse yourself into data science? DataCamp’s practice mode is exactly what you’re looking for. The daily challenges are designed to keep you challenged by new concepts. Moreover, they can help you fulfill your 100-day coding challenge!
5. Building A Data Science Learning Habit
As mentioned earlier, learning data science is a lot like learning a new language. Most language learners know that consistent practice helps you keep your vocabulary. You will even forget your native language over time if you don’t speak or read it regularly.
The same goes for data science.
Habit-forming is very important and we see practice mode as a great enabler of this. 5 questions a day, 10min of your time every day as a refresher of the courses you’ve taken. Keep your daily streak alive for as long as possible. Soon, you’ll find yourself thinking of data science all the time! All you need to do is start by making small commitments. Practice mode will help you with that.
6. Learning Data Science Through Repetition
Spaced repetition learning is most effective when spread out over time. Binge learning is unproductive compared to regular, consistent education. Practice mode enables you to spread the content from the courses, and test yourself on each part. This takes advantage of the psychological spacing effect.
7. Catering To Your Learning Needs
DataCamp is an online education platform - take advantage of it! Our self-paced curriculum presents a collection of benefits to help you learn. Practice mode is available to you whenever you are ready or wish to go over a concept. This flexibility will help you tailor our content to your learning style. Experiment with it!
With our various courses and tutorials, DataCamp strives to offer the best learning environment for data science.
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Try out the daily practice mode, get started today!