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How can you manage a Data Science Project alongside a Full-time job? Here’s How!

Learn 5 tips to make more time in your busy agenda for Data Science projects

Anca Onuta
Geek Culture
Published in
4 min readAug 31, 2021

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As a Data Scientist in any organization, you need to process data, extract insights, build models, and train them. All these tasks are a time-suck! Big data sheets and codes might drain any emerging innovative ideas you may have.

Are you juggling work and wondering how you can take some time out of your busy schedule to work on some real-world, challenging Data Science projects?

As the “hottest job of the 21st century,” Data Science is a trending field with a vast scope. The growth in this field is unparalleled. Thus, to develop a project in a domain that upgrades at an unprecedented rate might seem challenging.

In such a scenario, how can you develop a Data Science project; while simultaneously managing your work as a Data Scientist? Sounds super hectic, right?

However, it is possible and manageable.

The following steps can help you take out some time to work on your Data Science…

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Anca Onuta
Anca Onuta

Written by Anca Onuta

🚀 Fractional COO 🎯 Vision to Action📍Lille, France

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