University of California, Irvine
Interviewing for DS/AI Roles Specialization
University of California, Irvine

Interviewing for DS/AI Roles Specialization

Find and Prepare for Your Next Data Science/AI Job. Master strategies to navigate the job market, prepare an exceptional application, and nail the interview process.

Taught in English

Some content may not be translated

Camille Funk

Instructor: Camille Funk

Included with Coursera Plus

Specialization - 3 course series

Get in-depth knowledge of a subject

5.0

(5 reviews)

Beginner level

Recommended experience

3 months at 3 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify which skills to refresh in preparation for DS/AI applications and interviews.

  • Make their portfolio and resume stand out by applying tips specific to the field.

  • Discuss a techincal interview preparation plan and interview best practices

Details to know

Shareable certificate

Add to your LinkedIn profile

Specialization - 3 course series

Get in-depth knowledge of a subject

5.0

(5 reviews)

Beginner level

Recommended experience

3 months at 3 hours a week
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

Placeholder

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of California, Irvine
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

Specialization - 3 course series

What you'll learn

  • Identify the required skills, education, and experience for various DS/AI roles.

  • Describe a DS/AI role that aligns with personal goals and area of interest.

  • Assess what additional skill training is needed to enter a specific DS/AI role.

Skills you'll gain

Category: Machine Learning Positions
Category: AI Positions
Category: Data Science Positions

What you'll learn

  • Identify which skills to refresh in preparation for DS/AI applicaitons and interviews.

  • Make your portfolio and resume stand out by applying tips specific to the field.

  • Recognize how to market yourself and how career fairs, connecting with recruiters, and networking can help.

Skills you'll gain

Category: portfolio
Category: Marketing Yourself
Category: Skill Practice
Category: job search
Category: Resume

What you'll learn

  • Discuss a technical interview preparation plan.

  • Recall what actions need to be done before, during, and after an interview.

  • Identify job offer acceptance or refusal best practices and create a career development plan.

Skills you'll gain

Category: Negotiation
Category: Career Development
Category: Technical Interviewing
Category: interviewing

Instructor

Camille Funk
University of California, Irvine
5 Courses11,023 learners

Offered by

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions