Not Ready for a Bootcamp? Start with Data Science Essentials
Learn how you can prepare for a data science bootcamp and find out the steps you can take to find a bootcamp that is best suited for your career goals.
Learn how you can prepare for a data science bootcamp and find out the steps you can take to find a bootcamp that is best suited for your career goals.
StatsModels & Scikit-learn are two popular packages for working with stats and machine learning in Python. Learn more about each from The Data Incubator.
SQLite and pandas are two common data manipulation tools, but SQLite selects and filters data faster while pandas joins and loads data faster.
So you want to be a data scientist? Great choice! Data scientists are still the hottest jobs around. But before you can start applying for data science jobs, you need to build a strong data science portfolio. A data science portfolio is a collection of your best data science projects that demonstrate your skills and abilities.
In this blog post, I’ll provide a 5-step guide on how to build a strong data science portfolio.
Impostor syndrome isn’t experienced in just certain industries or disciplines or only by certain individuals. It’s much more widespread than you may think. If you’re in the technology field, you may be familiar with this sentiment, but maybe you’ve never heard the term impostor syndrome. So, what exactly is impostor syndrome? What causes it? And how do people in data science, the tech field or STEM industries overcome it?
Are you seeking a career in data science? If so, developing your communication skills is crucial to increase your chances of landing a data science role. As a data scientist, you’ll be relied upon to clearly communicate technical conclusions to non-technical members, such as those working in marketing and sales.
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