How to Lead in Data Science - Brossura

Chong, Jike; Chang, Yue Cathy

Brossura

ISBN 10: 1617298891 ISBN 13: 9781617298899

Casa editrice: Manning Pubns Co, 2022

Riassunto

<b>A field guide for the unique challenges of data science leadership, filled with transformative insights, personal experiences, and industry examples.</b><br><br>In <i>How To Lead in Data Science</i> you will learn:<br> <br> Best practices for leading projects while balancing complex trade-offs<br> Specifying, prioritizing, and planning projects from vague requirements<br> Navigating structural challenges in your organization<br> Working through project failures with positivity and tenacity<br> Growing your team with coaching, mentoring, and advising<br> Crafting technology roadmaps and championing successful projects<br> Driving diversity, inclusion, and belonging within teams<br> Architecting a long-term business strategy and data roadmap as an executive<br> Delivering a data-driven culture and structuring productive data science organizations<br> <br> <i>How to Lead in Data Science</i> is full of techniques for leading data science at every seniority level&#8212;from heading up a single project to overseeing a whole company&#39;s data strategy. Authors Jike Chong and Yue Cathy Chang share hard-won advice that they&#39;ve developed building data teams for LinkedIn, Acorns, Yiren Digital, large asset-management firms, Fortune 50 companies, and more. You&#39;ll find advice on plotting your long-term career advancement, as well as quick wins you can put into practice right away. Carefully crafted assessments and interview scenarios encourage introspection, reveal personal blind spots, and highlight development areas.<br> <br> Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.<br> <br> About the technology<br> Lead your data science teams and projects to success! To make a consistent, meaningful impact as a data science leader, you must articulate technology roadmaps, plan effective project strategies, support diversity, and create a positive environment for professional growth. This book delivers the wisdom and practical skills you need to thrive as a data science leader at all levels, from team member to the C-suite.<br> <br> About the book<br> <i>How to Lead in Data Science</i> shares unique leadership techniques from high-performance data teams. It&#8217;s filled with best practices for balancing project trade-offs and producing exceptional results, even when beginning with vague requirements or unclear expectations. You&#8217;ll find a clearly presented modern leadership framework based on current case studies, with insights reaching all the way to Aristotle and Confucius. As you read, you&#8217;ll build practical skills to grow and improve your team, your company&#8217;s data culture, and yourself.<br> <br> What&#39;s inside<br> <br> How to coach and mentor team members<br> Navigate an organization&#8217;s structural challenges<br> Secure commitments from other teams and partners<br> Stay current with the technology landscape<br> Advance your career<br> <br> About the reader<br> For data science practitioners at all levels.<br> <br> About the author<br> <b>Dr. Jike Chong</b> and <b>Yue Cathy Chang</b> build, lead, and grow high-performing data teams across industries in public and private companies, such as Acorns, LinkedIn, large asset-management firms, and Fortune 50 companies.<br> <br> Table of Contents<br> 1 What makes a successful data scientist?<br> PART 1 THE TECH LEAD: CULTIVATING LEADERSHIP<br> 2 Capabilities for leading projects<br> 3 Virtues for leading projects<br> PART 2 THE MANAGER: NURTURING A TEAM<br> 4 Capabilities for leading people<br> 5 Virtues for leading people<br> PART 3 THE DIRECTOR: GOVERNING A FUNCTION<br> 6 Capabilities for leading a function<br> 7 Virtues for leading a function<br> PART 4 THE EXECUTIVE: INSPIRING AN INDUSTRY<br> 8 Capabilities for leading a company<br> 9 Virtues for leading a company<br> PART 5 THE LOOP AND THE FUTURE<br> 10 Landscape, organization, opportunity, and practice<br> 11 Leading in data science and a future outlook

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Informazioni sull'autore

<b>Dr. Jike Chong </b>and<b> </b>Yue Cathy Chang have both built, led, and grown multiple high-performing data teams. Dr. Chong developed the Yiren Digital Ltd. data team from the ground up, expanded and led the data team as chief data scientist at Acorns, and recently led the Hiring Marketplace Data Science team at LinkedIn.<br> &#160;<br><br><b>Yue Cathy Chang</b> and her team &#34;parachuted&#34; into companies to address challenging and meaningful data needs. She has worked with leaders of centralized and distributed data teams at organizations big and small, including large asset-management firms and Fortune 50 companies.

Dettagli dell'edizione

• Editore: Manning Pubns Co
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1617298891
• ISBN 13: 9781617298899
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 300
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile