How DataCamp is Helping Me Learn Data Science for Free

A young DataCamp Donates scholarship recipient from Nepal shares her experience spending the last year learning. By Anshu Adhikari

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In college, I am planning to study computer science and economics. However, I did not want to wait to learn the basics of data science until I got to college. In that sense, DataCamp has truly helped me overcome the barriers of time and space.

I got access to DataCamp as a member of Code for Nepal, a non-profit organization working to increase digital literacy and data literacy in Nepal. DataCamp Donates is their global effort to build data skills and has donated thousands of subscriptions to organizations and schools globally.

As I worked to enhance the learning experiences of hundreds of others who were selected as Code for Nepal’s Data Fellows, I was increasing my own knowledge of data science and familiarity with DataCamp. The courses on DataCamp are developed to meet the expectations of learners at every level—I have found them very helpful.

I had no prior experience with programming languages. I knew a little bit of HTML and Q-basic that I had learned in middle school. As a total beginner at the start of my DataCamp journey, I discovered Introduction to Python, Introduction to R, and Introduction to SQL and they were the perfect place to start. 

The next step in my journey was having to decide whether I wanted to start with an individual course or a track. The courses started with the basics: types, variables, basic calculations. Therefore, even as a beginner that has never written or read a single line of code, I was able to follow the material presented very easily.

The courses on DataCamp take place on your browser so you don’t have to download anything to learn. I am very impressed with the concept of interactive e-learning with DataCamp as it allowed me to become active with my own learning experience. Interestingly, DataCamp XP is an experience point system that rewards learners like me for engaging in learning. XP is awarded to learners for progressing in courses, exercises, and projects.

When I use hints or show answer methods for solving problems a certain amount of my XP was used which motivated me to try and solve problems on my own as I did not want to lose the hard-earned XP.

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DataCamp also has a section dedicated to getting real-life experience with projects. On the live events tab, there are always upcoming events like webinars and live training sessions to learn about data-driven organizations. I am thrilled to learn new things every day. DataCamp feels like a roadmap where I am in a data car that leads me safely by minimizing risk and providing clarity to reach my destination as a data scientist. This journey has to be my favorite of all time.

All our DataCamp Donates fellows have had a positive experience learning different technologies like python, R, SQL, and Machine learning. In the era of the COVID-19 pandemic, as a high school student, I realized it is necessary to reinforce the various learning opportunities that prioritize strengthening my data skills and DataCamp was the best platform for it.

Finally, let me share that when I finished my first course, I was very proud of myself. After all, I managed to accomplish a significant step towards eventually becoming a data expert. I realized that becoming data fluent would require more time and dedication. I look forward to completing more courses, tracks, and projects that DataCamp has to offer.


Anshu Adhikari recently graduated high school in Kathmandu, Nepal, and is matriculating to the University of Mary Washington in the fall.

Code for Nepal’s mission is to help create a digitally and data-empowered Nepal together where everyone can thrive. Learn more about them by visiting their website, where this post was originally featured

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