Biased datasets can bring real harm to already marginalized communities. It’s our responsibility as a leading education company to diversify our student body and promote a welcoming and inclusive environment. Learn about the importance of gender diversity and how to combat bias.
Learn what tech burnout is, discover some of its causes, explore some common signs of tech burnout, and find out the steps you can take to prevent burnout at work.
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.
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