
UdemyThis course tackles the career side of data science rather than the technical skills, focused on the specific problem of breaking in without prior work experience. It covers how recruiters actually screen resumes in the few seconds they spend on each one, and walks through what companies look for at every stage of the interview process, including take-home assignments.
Academic researchers, data analysts, software developers, or complete beginners who have relevant skills but no commercial data science experience yet.
It's a practical, job-search-focused companion to technical data science training.
Getting your first job in data science isn't easy. Recruiters spend on average 7 seconds to scan your résumé. So, you have to prove very quickly that you have the right skills for the job. However, if you don't have work experience in data science, proving your skills seems extra hard.
We've all been there though. Every data scientist was once a data scientist without experience.
In this course, I'll share with you my tips to get that first job in data science. I'll tell you what recruiters are looking for in this field and how to write a résumé that stands out.
Afterward, I'll tell you how the rest of the interview process goes, and what companies really want from you in every stage. You'll learn how deeply you should study machine learning to pass interviews and how to structure a take-home assignment. There is also a sample machine learning quiz, similar to what you may find in a real interview.
You may be:
An academic researcher who wants to transition into data science. You have mathematical, stastistical and coding skills and you want to apply them in a commercial role for the first time;
A data analyst who wants to transition to data science or machine learning roles;
A software developer who want to take the leap into data science ;
A complete beginner who wants to know what the pathway to a career in data science looks like.
Advertisement
More in Personal Development



