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Offered By: IBM

Data Scientist Job Guide: Resume & Interview Preparation

Get interview-ready with expert preparation for landing a data scientist role. Plus, create a resume and portfolio that will catch the eye of employers.

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Course

Data Analysis

At a Glance

Get interview-ready with expert preparation for landing a data scientist role. Plus, create a resume and portfolio that will catch the eye of employers.

You’ve got the data scientist skills you need to land your next job in the field. Now it’s time to create an eye-catching resume and brush up your interview skills. 

This Data Scientist Job Guide: Resume & Interview Preparation course gives you expert guidance on how to find the right vacancies, craft an outstanding resume, and prepare for that all-important interview.   

You will learn:  
  • The job-roles and career paths open to you as a data scientist, so you can take your next step with confidence.  
  • How to draft your resume and cover letter, pull together your portfolio of work, and create an elevator pitch.  
  • What to expect during a typical job interview cycle, the different types of interviews, and how to prepare for them.  
  • How to give an effective interview, including techniques for answering questions and how to make a professional personal presentation. 
Course Overview  

Data science professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. So, how can you get the edge in this competitive field?   

This course will prepare you to enter the job market as a great candidate for a data scientist position. You’ll learn practical techniques for creating essential job-seeking materials such as an eye-catching resume and portfolio, plus you’ll draft key aspects of the application process such as a cover letter and an elevator pitch.  

You’ll also learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing.  You’ll get inside tips and guidance on how to perform well at interviews. You’ll learn how to approach a code challenge and get practice completing them. Plus, you’ll fine-tune your understanding of the regular functions and tasks of data scientists, as well as the opportunities for career development.  

If you’re keen to catch the eye of an employer with a stand-out resume, and nail your next interview, enroll today. You have a lot to look forward to!

Course Syllabus 

Welcome 
  • Reading: Course Introduction 
  • Reading: General Information 
  • Reading: Learning Objectives and Syllabus 
  • Reading: Grading Scheme 
 
Module 1: Building a Foundation 
  • Reading: Module 1 Introduction and Learning Objectives 
  • Video: Role of a Data Scientist 
  • Reading: Build your skills as a Data Scientist 
  • SME Video: Paths in Data Science 
  • Video: Opportunities in Data Science 
  • SME Video: Data Science Roles and Required Skills 
  • Video: Build Your Portfolio 
  • SME Video: Optimal Portfolios 
  • Video: Introduction to Data Science Professional Certificate 
  • Video: Draft Your Resume 
  • SME Video: Attention-Getting Resumes 
  • Lab: Draft Your Resume 
  • Reading: Draft Your Basic Cover Letter 
  • Lab: Create your Cover Letter 
  • SME Video: Standing Out from the Crowd 
  • Reading: Drafting Other Materials 
  • Reading: Drafting an Elevator Pitch 
  • Practice Quiz: Building a Foundation 
  • Graded Quiz: Building a Foundation 
 
Module 2: Applying and Preparing to Interview 
  • Reading: Module 2 Introduction and Learning Objectives 
  • Video: Company and Industry Research in Data Science 
  • Video: Networking Online and Off 
  • SME Video: Building Your Network  
  • Video: Assessing Job Listings 
  • SME Video: A Closer Look at Job Listings 
  • Reading: Applying for a Job 
  • Video: Interview Rehearsal 
  • SME Video: Job Interview Preparation 
  • Lab: Prepare for an Interview 
  • Practice Quiz: Applying and Preparing to Interview 
  • Graded Quiz: Applying and Preparing to Interview 
 
Module 3: Interviewing 
  • Reading: Module 3 Introduction and Learning Objectives 
  • Video: Overview of the Interview Process  
  • SME Video: A Typical Interview Cycle 
  • Reading: Unethical Interviewing 
  • Video: Data Science Mock Interview - Part 1 
  • Video: Data Science Mock Interview - Part 2 
  • Video: Data Science Mock Interview - Part 3 
  • Video: Mock Interview Analysis 
  • Video: Best Practices: Getting an Interview 
  • Video: Best Practices: Interview Preparation  
  • Video: Coding Challenges in Data Science 
  • SME Video: Case Study Insights 
  • Reading: Second-Round Screen 
  • SME Video: Tech Screen Expectations 
  • Video: Final Interviewing 
  • SME Video: Interviewing 
  • Reading: After the Interview 
  • SME Video: Negotiations 
  • Reading: Checklist 
  • Practice Quiz: Interviewing 
  • Graded Quiz: Interviewing 
 
Module: Course Wrap-Up 
  • Reading: Congratulations and Next Steps 
  • Reading: Thanks from the Course Team 
  • Reading: Copyrights and Trademarks 
Prerequisites 
This course does not have any prerequisites. 

To build the skills you need to be a successful data scientist, we recommend that you enroll in the full Professional Certificate program and complete the courses in sequence. In just a few months, you’ll have the full set of job-ready skills and practical experience you need to ensure your resume stands out to potential employers! 

Estimated Effort

3 Weeks

Level

Beginner

Skills You Will Learn

Career Development, Data Analysis, Interviewing Skills, Job Preparation, Resume Building

Language

English

Course Code

DS0291EN

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