This course gives you a complete, practical strategy for landing a data science job, covering everything from identifying the right roles and closing skill gaps to building a portfolio that gets noticed, activating your professional network, and performing well throughout the full interview process. Gain insight into how hiring managers evaluate candidates, why most applications never reach a human reviewer, and what separates those who get callbacks from those who do not.

15 Tips for Landing a Data Science Job
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15 Tips for Landing a Data Science Job
This course is part of Starting a Data Science Career Specialization

Instructor: Madecraft
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What you'll learn
Target data science roles by identifying job types, sourcing opportunities across multiple channels, and closing skill gaps.
Build a portfolio, resume, and cover letter that give hiring managers tangible evidence of your data science skills.
Activate your network, request referrals, and navigate the full interview process from assessment to follow-up email.
Skills you'll gain
Tools you'll learn
Details to know

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June 2026
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Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

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Status: Free TrialUniversity of California, Irvine
Status: Free Trial
Status: Free TrialUniversity of California, Irvine
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