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What are some extracurricular activities if I want to be a data scientist?

I’m a senior and I was wondering what I should be doing or consider doing in high school or outside of school so that it would get me ready for data science. What are some resources that can help? data-science

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Sahar’s Answer

It's always nice to have a portfolio and an easy way of building one is by doing online coding and data science competitions. Kaggle.com is a great place to start, both for personal project ideas and actual competitions, but there are many sites online that do the same thing. Getting involved in these communities will help you keep up with current ideas and concepts in the field, give you a group of people to make connections with, and build valuable hands-on experience.
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Shea’s Answer

I'd recommend learning languages like Python, SQL, and R. There are free games online that you can play that help you learn such as TwilioQuest, SQL Murder Mystery, or CodinGame. If you like podcasts I'd recommend checking out the Women in Data Science podcast and a TikTok account I like is @damselindata.

Most importantly I'd also recommend figuring out what in data science you find the most interesting. There are a lot of different paths you can take in the data science field and narrowing down to a few options that feel the most interesting to you will help you better understand what you want to learn.
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Buket’s Answer

Hi, you can start to take introductory coding classes to be familiar with the programming first then you can enroll to more advanced data analytics classes like SQL, Python, R programming and some of the data visualization classes like Tableau. More advanced part of the data analytics is the predictive modeling and machine learning. There are machine learning packages of R and Python that you can get started to be familiar with the machine learning and artificial intelligence.
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Alex’s Answer

Hi Jessica,
You can add to your knowledge by taking free coding classes in SQL, Python and Tableau. Those will be some of the basic skills you'll need to be able to interpret data and chart and present it. The more you practice on these tools, the easier it will be to then apply logic into data problems.
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Karla’s Answer

Hi Jessica,
I recommend finding an internship - even though if you cannot find something specific to data science, look for similar alternatives. The advantage is that you will learn other activities, understand processes and how companies work. It will give you a different perspective and also you will gain some experience.

Another alternative is to ask your Professors if they know about bootcamps that you can join or activities that can help you strengthen specific skills. Normally at the University or with your professors, you can get several activities that you can do either as learning or volunteering teaching younger students. Besides, there are some professors that also work at companies or do research and sometimes they need somebody to help them with their projects. These are great ways to get extra curricular activities in your field of interest.
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Dave’s Answer

Along with the other great suggestions, I would dig into SQL and go pretty deep. SQL is just one part of what data scientists need to understand, but the stronger you are, the better.

"Learning SQL: Master SQL Fundamentals" from O'Reilly is a great starter book. You can use free tools along with it to learn a basis to work from. It's pretty fun!
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