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.
Interviewing, Negotiating a Job Offer, and Career Planning
Interviewing, Negotiating a Job Offer, and Career Planning
This course is part of Interviewing for DS/AI Roles Specialization
Instructor: Camille Funk
2,829 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
13 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
What you'll 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'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Interviewing for DS/AI Roles Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 4 modules in this course
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.
What's included
2 readings1 assignment1 discussion prompt2 plugins
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.
What's included
2 readings1 assignment1 discussion prompt1 plugin
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.
What's included
2 readings1 assignment1 discussion prompt2 plugins
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.
What's included
2 readings1 assignment1 peer review1 discussion prompt1 plugin
Instructor
Instructor ratings
4.8 (5 ratings)5 Courses14,072 learners
Offered by
Explore more from Data Analysis
University of California, Irvine
Macquarie University
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
New to Data Analysis? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
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.
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.
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.
More questions
Financial aid available,