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.

Camille Funk

Offered By

Interviewing for DS/AI Roles SpecializationUniversity of California, Irvine

What you will 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
Identify the required skills, education, and experience for various DS/AI roles.

Skills you will gain

About this Specialization

Data science and artificial intelligence are exciting fields to join, but with the explosion of growth has come a somewhat unexpected outcome: high competitiveness in the job market. This specialization focuses on not only how to pick the right DS/AI job for your skillset, but also how to prepare for and land an interview. We will start with an overview of the current entry challenges in this field as well as the differences between some commonly confused DS/AI roles. Next, we will prepare to apply for jobs by detailing job search strategies, skills to brush up on, and how to design resumes and portfolios for DS/AI job applications. Finally, we will describe the interview process and top tips and tricks for a successful interview. We will also touch on what to do after a great interview, including how to negotiate a salary and how to prepare for the next steps in your career. By the end of this specialization, students will be able to: Differentiate between top DS/AI roles and how they are described in the job market. 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. Recognize how to market themselves and how career fairs, connecting with recruiters, and networking can help. Discuss a technical interview preparation plan and interview best practices. Recall job offer acceptance or refusal best practices. Create a career development plan.

Applied Learning Project

Students will create a detailed career development plan by applying core specialization concepts, such as: what skills to develop in preparation for technical interviews, how to create short and long-term goals, and how to navigate the steps of the job search, application, and interview process.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approximately 3 months to complete

Suggested pace of 3 hours/week

English

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Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approximately 3 months to complete

Suggested pace of 3 hours/week

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

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

Learn more about Coursera for Business

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

There are 3 Courses in this Specialization

Course1

Course 1

Identifying the Right Role for Yourself

Data science and artificial intelligence are exciting, growing fields with a lot to offer prospective job seekers. However, even with the massive growth in technology and positions, there are still many barriers to entry. This course explores today’s challenges and opportunities within data science and artificial intelligence, the varying skills and education necessary for some commonly confused positions, as well as the specific job duties associated with various in-demand roles. By taking this course, learners will be able to discover which role and industry best fit their skills, interests, and background as well as identify any additional education needed, both of which will prepare them to apply and interview for DS/AI positions.

By the end of this course, students will be able to: • Identify the required skills, education, and experience for various DS/AI roles. • Recall the similarities and differences between various commonly confused DS/AI roles. • Describe a data science/artificial intelligence role that aligns with personal goals and area of interest. • Assess what additional skill training is needed to enter a specific DS/AI role.

Course2

Course 2

Finding and Preparing for the Right Job

Finding and preparing for the right job in the DS/AI field can be tricky. In this course, we will explore how the job market has vastly different descriptions for the same job title, how to identify what a company is really looking for, and how to search the “hidden” job market. We will also overview major skills areas experts recommend revisiting before applying for jobs in this field, how to tailor your resume to catch the eye of a DS/AI hiring manager, and how to create a stellar portfolio. Finally, we will discuss the importance of marketing yourself and tips and tricks on how to do it well.

By the end of this course, students will be able to: • Decipher job descriptions with the same titles to discern the different skill sets needed. • Recall the major skill areas experts recommend revisiting and 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. • Recognize how to market themselves and how career fairs, connecting with recruiters, and networking can help. • Describe what kind of networking is beneficial in this field.

Course3

Course 3

Interviewing, Negotiating a Job Offer, and Career Planning

Prepare yourself for interviewing and landing a job in the DS/AI field. In this course, we will discuss what needs to be done before, during, and after the interview process. We will also provide tips and tricks on how to practice for a major component of data science interviews: the technical interview. Finally, this course will cover best practices for accepting or declining a job offer, salary negotiations, and how to create a career development plan.

Instructor

Camille Funk

Director, Instructional Design and Learning Innovation

Division of Continuing Education

3,015 Learners

4 Courses

Offered by

University of California, Irvine

Since 1965, the University of California, Irvine has combined the strengths of a major research university with the bounty of an incomparable Southern California location. UCI’s unyielding commitment to rigorous academics, cutting-edge research, and leadership and character development makes the campus a driving force for innovation and discovery that serves our local, national and global communities in many ways.

Frequently Asked Questions

What is the refund policy?
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Can I just enroll in a single course?
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Can I take the course for free?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Will I earn university credit for completing the Specialization?
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

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Interviewing for DS/AI Roles Specialization

What you will learn

Skills you will gain

About this Specialization

Applied Learning Project