This course is part of the Interviewing for DS/AI Roles Specialization

Camille Funk

Offered By

Interviewing for DS/AI Roles SpecializationUniversity of California, Irvine

About this Course

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.
By the end of this course, students will be able to:
• Recall what actions need to be done before, during, and after an interview.
• Discuss a technical interview preparation plan.
• Identify job offer acceptance or refusal best practices.
• Create a career development plan.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

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Course 3 of 3 in the

Interviewing for DS/AI Roles Specialization

Beginner Level

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

Approx. 13 hours to complete

English

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What you will 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 will gain

Negotiation
Career Development
Technical Interviewing
interviewing

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 of 3 in the

Interviewing for DS/AI Roles Specialization

Beginner Level

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

Approx. 13 hours to complete

English

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

Try Coursera for Business

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.

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Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

Develop and Refine Your Interviewing Skills

Welcome to Module 1, Develop and Refine Your Interviewing Skills. After deciding on a position, updating your materials, and applying for jobs in the first two courses, now it’s time to prepare for interviews. In this module, we will discuss what research and preparation need to happen before an interview, what to do and say during an interview, and what actions need to be taken soon after an interview. We’ll conclude this module with a reflection on past interviews that might have included some sour notes and what can be done differently in the future.

3 hours to complete

2 readings

Week2

Week 2

6 hours to complete

Preparing for Technical Interviews

Welcome to Module 2, Preparing for Technical Interviews. Technical interviews are an opportunity to show your interviewers how well you can perform the skills associated with your desired role. In this module, we will cover common technical interview questions, places you can practice various data science interview problems, red flags to avoid, and other ways to prepare for your technical interview. We will wrap up the module with a discussion on how to improve your interview performance.

6 hours to complete

2 readings

Week3

Week 3

2 hours to complete

Negotiating a Job Offer

Welcome to Module 3, Negotiating a Job Offer. Congratulations! All your hard work has paid off and you’ve got a job offer. As exciting as this is, the work is not over. Now you need to decide if the offer meets your expectations. In this module, we will discuss best practices related to accepting or declining a job offer. We will also explore strategies for negotiating your salary and other benefits. We will close the module with a discussion about personal experiences with job offer negotiation and what strategies we plan to implement in our next negotiation.

2 hours to complete

2 readings

Week4

Week 4

3 hours to complete

Career Planning for DS/AI Professionals

Welcome to Module 4, Career Planning for DS/AI Professionals. Now that you’ve landed the job, it’s time to start considering your future career. In this module, we will identify the career paths for the DS/AI field, including paths for those who don’t want to get into management. We will also identify strategies for forward career progression and describe how we can implement the core skills learned throughout this specialization to improve our own job searches and interviews. Finally, we will take everything we’ve learned and create a career development plan to help guide us from our next job to our dream job.

3 hours to complete

2 readings

About the Interviewing for DS/AI Roles 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.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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.

More questions? Visit the Learner Help Center.

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Interviewing, Negotiating a Job Offer, and Career Planning

About this Course

What you will learn

Skills you will gain