How to be a Great Data Scientist without Going to University

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Data science is a topic that has boomed over the past few years, and it seems that more and more people are looking to enter this area. There’s currently an interesting debate going on about how much you actually need to know before you can enter this area and work for a company as a junior data scientist. Many say that you should have a deep, fundamental understanding of mathematics and statistics, with at least an undergraduate degree in statistics and preferably a graduate degree and at least one paper under your name. To these people, the journey to becoming a competent data scientist is one that should take years and can’t be done through simple online courses. However, it is clear that more and more data scientists now are self-educated, and companies are starting to value those who have their own projects under their belt. In this article, I’ll list some ways to get started with your own data science projects that you can put on your CV and companies will value.

Learn from Kaggle Projects

Read Data Science Blogs and Watch Videos

Try Bootcamps and Online Learning Platforms

Check Out Alibaba’s Big Data Courses

Don’t Be Afraid to Experiment

What Do to If You Have Limited Computing Power

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