Interviewing for DS or AI Roles, Short Course | Part time online | Coursera | United States
3 months
Duration
Free
Free
Unknown
Tuition fee
Anytime
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Apply date
Anytime
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Start date

About

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 with this Interviewing for DS/AI Roles course offered by Coursera in partnership with University of California Irvine.

Visit the Visit programme website for more information

Overview

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 Interviewing for DS/AI Roles course offered by Coursera in partnership with University of California Irvine 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. The course 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, you 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, you will describe the interview process and top tips and tricks for a successful interview. This course 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.

Skills You Will Gain:

  • Negotiation
  • Career planning
  • Job Selection
  • Technical Interviewing
  • Interviewing

Programme Structure

Courses include:

  • Identifying the Right Role for Yourself
  • Finding and Preparing for the Right Job
  • Interviewing, Negotiating a Job Offer, and Career Planning

Key information

Duration

  • Part-time
    • 3 months
    • Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Beginner level

  • Recommended experience: 1-2 years of formal or informal education in DS/AI field is recommended.

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 3 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 3 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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