How to become a Data Scientist
There is a global shortage of data scientists in the industry! Enter the world of stats, maths and data & bring valuable insights to the world's top corporations!
Why should you become a
Data Scientists are more in-demand than ever! While many folks in the data space try to get their hands dirty with AI and Machine Learning, they are leaving a big gap in the job market for data analysts and scientists.
In the US today, over 3,000 new job postings for Data Scientists are found. The space is growing and getting more open for career changers.
A Data Scientist can expect to be among the top range of tech salaries. Well into the six-figures in the US on average, and at top ranges all around the world!
The Data Science must-reads you shouldn't miss.
Key articles and posts of industry experts can help you get a better picture of what you are getting
In our opinion, these are some must-reads you really shouldn't miss.
Simple Reinforcement Learning with Tensorflow
This 8-part series by Arthur Juliani (Deep RL researcher at Unity) is an amazing entry point to the new and mysterious advancements of Reinforcement Learning, perfectly suited for folks coming from other topics in Machine Learning.
Karpathy on "Software 2.0"
Andrej Karpathy is the Director of AI at Tesla. Before that, though, he authored this blog post in 2017 talking about Deep Learning as "Software 2.0" of some sort. A must-read if you ever want to have another way of thinking about ML.
Opportunities and projects in the Data Science
In the end, advancing your career is all about getting the right opportunities at the right time and
good portion of luck.
These are some interesting things going on in the Data Science space and you
probably don't want to miss them.
Specialize with Kaggle
It wouldn't be the first time I've seen someone get hired over good Kaggle results! Kaggle competitions are data science and ML projects that are graded through a public leaderboard. A good place on the leaderboard shows that you know your craft and can apply your knowledge to real-life problems!
Get into open-source
The world thrives on open-source software and this is no exception. Core contributors to core libraries and fast-growing tech like React, scikit-learn, Bitcoin and TensorFlow prove their abilities by going into the inner workings of a framework to improve it. For many companies, that's a desirable skill!
These projects are always looking for fresh faces. Grab an issue from the issue board or review a PR to get started!
Get the help you need & advance your career
Ready to enter the competitive world of Data Science? Our mentors can help, whenever you are getting lost!