Overview
Throughout this Interviewing for DS or AI Roles Specialization offered by Coursera in partnership with University of California Irvine you'll find and Prepare for Your Next Data Science/AI Job.
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.
Key facts
- 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.
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
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data Artificial Intelligence View 127 other Short Courses in Artificial Intelligence in United StatesWhat students do after studying
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 Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
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.