How to Get a Data Science Job Without Experience
- The only requirement is a strong desire to get your first data science job.
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.
Who this course is for:
- Aspiring data scientists
- Academic researchers looking to transition into data science
Emmanuel, PhD, is a computer scientist and AI expert. He runs his consulting business on data science and AI. He has worked with companies like Expedia, Vodafone, TUI fly, the French Space Agency and dozens of startups. He personally wrote some of Expedia’s AI-powered software to price hotel rooms, used by millions of travelers every day. During his past academic career he was one of the pioneers in using deep learning to automatically analyze the content of satellite images. He's passionate about teaching. In the past, he's given lectures on logic, theoretical computer science, machine learning, deep learning, and more.