Build a Career in Data Science
- 14h 51m 15s
- Emily Robinson, Jacqueline Nolis
- Manning Publications
- 2020
You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager.
About the technology:
What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career.
About the audiobook:
Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews.
In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the audiobook.
What's inside:
- Creating a portfolio of data science projects
- Assessing and negotiating an offer
- Leaving gracefully and moving up the ladder
- Interviews with professional data scientists
In this Audiobook
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Chapter 1 - What is Data Science?
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Chapter 2 - Data Science Companies
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Chapter 3 - Getting the Skills
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Chapter 4 - Building a Portfolio
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Chapter 5 - The Search: Identifying the Right Job for You
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Chapter 6 - The Application: Résumés and Cover Letters
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Chapter 7 - The Interview: What to Expect and How to Handle it
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Chapter 8 - The Offer: Knowing What to Accept
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Chapter 9 - The First Months on the Job
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Chapter 10 - Making an Effective Analysis
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Chapter 11 - Deploying a Model into Production
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Chapter 12 - Working with Stakeholders
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Chapter 13 - When Your Data Science Project Fails
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Chapter 14 - Joining the Data Science Community
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Chapter 15 - Leaving Your Job Gracefully
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Chapter 16 - Moving up the Ladder
