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🎙️Emily Robinson and Jacqueline Nolis interviewed
🎙️Emily Robinson interviewed
🎙️ Data Science and Sponsorship with Emily Robinson
🎙️ SuperDataScience with Emily Robinson
🎙️ TalkPython with Emily Robinson and Jacqueline Nolis
🎙️ Emily Robinson & Jacqueline Nolis – How To Jump Into Data Science from Any Background?
🎙️ The Artists of Data Science with Jacqueline Nolis and Emily Robinson
Preparing Yourself for a Job in Data Science, Part 1: bootcamp
Preparing Yourself for a Job in Data Science, Part 2: building a portfolio
🎙️ Jacqueline Nolis & Emily Robinson: Building a Career in Data Science #115
Preparing Yourself for a Job in Data Science, Part 3: finding a job
Preparing Yourself for a Job in Data Science, Part 4: what to expect after you get a job
🎙️ How To Build A Career in Data Science with Jacqueline Nolis and Emily Robinson
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Full of useful advice, real-case scenarios, and contributions from professionals in the industry.
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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 book
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 book.FREE domestic shipping on orders of three or more print books
The perfect companion for someone who wants to be a successful data scientist!
Insightful overview of all aspects of a data science career.
Highly recommended.
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