What Is the Objective-C Language?
September 30, 2024
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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.
Instructor: Camille Funk
Included with
(7 reviews)
Recommended experience
Beginner level
1-2 years of formal or informal education in DS/AI field is recommended.
(7 reviews)
Recommended experience
Beginner level
1-2 years of formal or informal education in DS/AI field is recommended.
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
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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.
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.
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.
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.
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. UC Irvine’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.
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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.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
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.
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.
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.
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.