Build a Career in Data Science 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Build a Career in Data Science

简体网页||繁体网页
Emily Robinson 作者
Manning Publications
译者
2020-4-17 出版日期
250 页数
USD 39.99 价格
Paperback
丛书系列
9781617296246 图书编码

Build a Career in Data Science 在线电子书 图书标签: 数据科学  职场  职业发展  计算机  机器学习  数学和计算机  Statistics  PDF   


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发表于2024-12-24


Build a Career in Data Science 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Build a Career in Data Science 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Build a Career in Data Science 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



Build a Career in Data Science 在线电子书 用户评价

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对我来说略显啰嗦(如果简短一些会更好),适合刚入门的同学. (1) 分析要先写analysis plan, 避免无止境的挖细节,错过ddl; 也要在之上探索拓展; (2) 要多和业务方沟通 (1周1-2次的级别). 面试部分一些小问题不错. 其他的以后再读吧

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书涵盖了求职的方方面面,可以作为参考类的工具书,快速翻阅了自己感兴趣的内容,总之干货挺多的,但是面面俱到也不全是好事,有些东西有点冗余。

评分

对我来说略显啰嗦(如果简短一些会更好),适合刚入门的同学. (1) 分析要先写analysis plan, 避免无止境的挖细节,错过ddl; 也要在之上探索拓展; (2) 要多和业务方沟通 (1周1-2次的级别). 面试部分一些小问题不错. 其他的以后再读吧

评分

书涵盖了求职的方方面面,可以作为参考类的工具书,快速翻阅了自己感兴趣的内容,总之干货挺多的,但是面面俱到也不全是好事,有些东西有点冗余。

评分

一篇blog的信息量写了三百多页

Build a Career in Data Science 在线电子书 著者简介

Jacqueline Nolis is a data science consultant and co-founder of Nolis, LLC, with a PhD in Industrial Engineering. Jacqueline has spent years mentoring junior data scientists on how to work within organizations and grow their careers.

Emily Robinson is a senior data scientist at Warby Parker, and holds a Master's in Management. Emily's academic background includes the study of leadership, negotiation, and experiences of underrepresented groups in STEM.


Build a Career in Data Science 在线电子书 图书目录


Build a Career in Data Science 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Build a Career in Data Science 在线电子书 图书描述

Build a Career in Data Science is your guide to getting your first data science job, then quickly becoming a senior employee. Industry experts Jacqueline Nolis and Emily Robinson lay out the soft skills you’ll need alongside your technical know-how in order to succeed in the field. Following their clear and simple instructions you’ll craft a resume that hiring managers will love, learn how to ace your interview, and ensure you hit the ground running in your first months at your new job. Once you’ve gotten your foot in the door, learn to thrive as a data scientist by handling high expectations, dealing with stakeholders, and managing failures. Finally, you’ll look towards the future and learn about how to join the broader data science community, leaving a job gracefully, and plotting your career path. With this book by your side you’ll have everything you need to ensure a rewarding and productive role in data science.

what's inside

Creating a portfolio to show off your data science projects

Picking the role that’s right for you

Assessing and negotiating an offer

Leaving gracefully and moving up the ladder

Interviews with professional data scientists about their experiences

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