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Статья расказывает, как правильно составить свое Data Science-портфолио и том как Data Science-менеджеры их отбирают.  Портфолио — итеративно. У Фавио Васкеса есть отличная статья на тему того, как он получил работу в сфере Data Science. Как вы уже поняли, в своей статье он советует составить портфолио: Составьте портфолио. Если вы ищете высокооплачиваемую работу в сфере Data Science, возьмитесь за несколько проектов с реально существующими наборами данных. Если можете, разместите их на GitHub. Также, помимо прохождения соревнований по Data Science на Kaggle, вы можете взять проблему, которую хотите решить, и создать на ее основе свой проект. Types of Projects to Include in a Portfolio. Data science is such a broad field that it is hard to know what kind of projects hiring managers want to see. William Chen, a Data Science Manager at Quora, shared his thoughts on the subject at Kaggle’s CareerCon (video). I love projects where people show that they are interested in data in a way that goes beyond homework assignments.  Jason Goodman, Data Scientist at Airbnb, has a post Advice on Building Data Portfolio Projects where he talks about many different project ideas and has good advice on what kind of datasets you should use. He also echos one of William’s points about working with interesting data. Building a data science portfolio in two months is definitely doable, assuming you already have most or all of actual the skills you need, and you can dedicate a significant amount of time to this during the two months. The first thing to consider   Coming to the portfolio, 2 months is very less. Minimum of 5–6 months to develop a project end to end from scratch to the deliverable shape. 69 views · Answer requested by.





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Author: admin | 07.04.2021



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