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Interviewing, Negotiating a Job Offer, and Career Planning

Prepare yourself for interviewing and landing a job in the Data Science /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.

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by Joanna

Last Updated:2023-01-14

Course level:Intermediate

Course Duration: 14h

Categories Career Development, Communication, Data Science / Analytics, Learning, Negotiation, Personal Development, Pro, Soft Skills, Succeed At Work

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Course Content

11 sections • 28 lecture • 7h 33m total length

About Course

Prepare yourself for interviewing and landing a job in the Data Science /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.

Course Curriculum / Content

Week 1: 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. Learning Objectives Identify best practices for in-person and virtual interviews. Recall the elements of the STAR Method. Describe a situation from a past interview that didn't go well and what could be done differently to improve the overall outcome.

1.1 Required Readings & Resources
1.2 Top Interview Tips: Common Questions, Nonverbal Communication & More(video)
05:00
1.3 How to Ace Your Video Interview(video)
05:00
1.4 A Better Interview Next Time
1.5 Supplemental Resources
1.6 Module 1 Knowledge Check

Week 2: 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. Learning Objectives Recognize the purpose and characteristics of a technical interview. Identify ways to prepare for a technical interview. Describe ways to improve technical interview performance.

Week 3: 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. Learning Objectives Recall best practices for accepting or declining a job offer. Identify salary negotiation best practices. Discuss successful and unsuccessful strategies for negotiating a job offer.

Week 4: 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. Learning Objectives Identify career paths in the DS/AI field. Recall the core components of a SMART career goal. Recognize strategies for forward career progression. Describe how to implement core specialization skills to the job search and interview process. Create a career development plan.

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Description

Prepare yourself for interviewing and landing a job in the Data Science /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.

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Interviewing, Negotiating a Job Offer, and Career Planning

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Course Content

About Course

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Course Curriculum / Content

1.1 Required Readings & Resources

1.2 Top Interview Tips: Common Questions, Nonverbal Communication & More(video)

1.3 How to Ace Your Video Interview(video)

1.4 A Better Interview Next Time

1.5 Supplemental Resources

1.6 Module 1 Knowledge Check

2.1 Required Readings & Resources

2.2 How to Prepare for Technical Interviews(video)

2.3 Strengthening Your Interview Answers

2.4 Supplemental Resources

2.5 Module 2 Knowledge Check

3.1 Required Readings & Resources

3.2Always Negotiate Your (Tech) Salary. (Seriously.)(video)

3.3 Tips for Negotiating Your Salary (from an Ex-FAANG Recruiter)(video)

3.4 Job Offer Negotiations

3.5 Supplemental Resources

3.6 Module 3 Knowledge Check

4.1 Required Readings & Resources

4.2 How to Build an Effective Career Plan (Top 5 Tips)(video)

4.3 Putting It Into Practice

4.4 Supplemental Resources

4.5 Module 4 Knowledge Check

4.6 Peer-graded Assignment: Data Science/Artificial Intelligence Career Development Plan

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