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How to Get a Data Science Job Without Experience
Rating: 4.6 out of 5(139 ratings)
5,402 students

How to Get a Data Science Job Without Experience

Stand out as a candidate, make recruiters call YOU and get your first data science job
Created byEmmanuel Maggiori
Last updated 10/2022
English
English [Auto],

What you'll learn

  • How to write a CV that gets recruiters to call you
  • The top-3 skills recruiters are looking for in data science candidates
  • How to nail a machine learning quiz
  • How to structure a take-home data science assignment
  • The mistakes that get your CV ignored

Course content

2 sections • 20 lectures • 38m total length

  • Your goal is not to get a job2:04

    Focus on securing an interview, not just a job, by crafting a concise one-page resume that grabs recruiter attention within seven seconds and communicates your knowledge and experience.

  • The résumé that got me ZERO calls2:37

    Review an old data science resume that got zero calls and learn why it failed to convey value. See how revisions highlight machine learning and big data for recruiters.

  • Top-3 skills recruiters are looking for: Machine Learning2:31

    Learn to showcase machine learning on a data science resume by proving you understand it and can apply it to business goals, using coursework, Kaggle projects, or current job experiments.

  • Data Science project ideas0:29
  • Top-3 skills recruiters are looking for: Python for Data Science1:26

    Learn to showcase Python for data science by using pandas, scikit-learn, and numpy in real projects or Kaggle competitions, and clearly cite these libraries on your resume.

  • Top-3 skills recruiters are looking for: Business Acumen3:07

    Develop business acumen by framing data work in terms of business goals and outcomes. Show recruiters that models deliver practical, business-ready solutions used by teams.

  • Other 2 skills recruiters like to see1:00
  • The improved résumé that got me interviews4:38

    Rewrite your résumé to highlight deep learning for remote sensing, scalable data handling, and collaboration with the French space agency, delivering real-world impact that earned multiple interview calls.

  • Tips for writing your résumé3:48

    Craft a concise data science resume by removing irrelevant personal details and acronyms, prioritizing project achievements that prove you can get the job, and dedicating time to refine every word.

  • Elon Musk's résumé1:27

    Imagine Elon Musk's résumé as a concise sales letter that highlights what you bring to the table, with a resume guide and template in the resources.

  • Step-by-step résumé writing guide and template0:09
  • Where to find a data science job0:07

Requirements

  • The only requirement is a strong desire to get your first data science job.

Description

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

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