AI News, Practice Makes Perfect: Announcing Tracks, Challenges, and Projects

Practice Makes Perfect: Announcing Tracks, Challenges, and Projects

Since we launched Dataquest a year ago, tens of thousands of people a month have learned data science and have started to experience the benefits in their respective careers.

Projects are more open-ended and closely resemble the workflow that data analysts and data scientists in industry experience on a daily basis.

Completing projects and building a portfolio is the best way to stand out on job applications, as you're able to demonstrate both your data science skills as well as your ability to step through the entire data science lifecycle.

Since projects are much more open-ended than challenges, you will need to highly specific and personal feedback to help you better understand your strengths and weaknesses.

Interview with a Data Analyst

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