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

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.
• R​ecognize 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.

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.

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Course 2 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. 10 hours to complete

English

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What you will learn

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.

Skills you will gain

Skill Practice
Marketing Yourself
job search
Resume
portfolio

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 2 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. 10 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

3,047 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

The Job Search

Welcome to Module 1, The Job Search. In this module, we will overview DS/AI-specific job-search strategies including how to tell what a company is really looking for no matter the job title. We will also practice how to conduct a targeted job search and identify the “hidden” job market. Finally, we will compare two job postings with the same title and identify the differences in skill expectations and descriptions.

3 hours to complete

2 readings

Week2

Week 2

2 hours to complete

Skills to Brush Up On

2 hours to complete

2 readings

Week3

Week 3

3 hours to complete

Portfolios, Resumes, and Cover Letters

Welcome to Module 3, Portfolios, Resumes, and Cover Letters. In this module, we will discuss the importance of portfolios and resumes as well as the surprising lack of importance of cover letters for this field. We will also identify specific tips and tricks to improve your resume and overview what should be included in a portfolio to make you stand out. Finally, we will apply the module’s core concepts to update our own resumes, portfolios, and cover letters.

3 hours to complete

2 readings

Week4

Week 4

2 hours to complete

Marketing Yourself

Welcome to Module 4, Marketing Yourself. In this module, we will explain why marketing yourself is an important key to landing interviews in your desired field. We will learn how to market yourself, including how to connect with recruiters, how to build your online presence, and why and how to attend career fairs. In our group discussion, we will describe what kind of networking is beneficial in this field and one new strategy we plan to implement to better market ourselves.

2 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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