How to Get a Data Science Job Without Experience

How to Get a Data Science Job Without Experience, available at Free, has an average rating of 4.5, with 20 lectures, 1 quizzes, based on 101 reviews, and has 4609 subscribers.

You will learn about 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 This course is ideal for individuals who are Aspiring data scientists or Academic researchers looking to transition into data science It is particularly useful for Aspiring data scientists or Academic researchers looking to transition into data science.

Enroll now: How to Get a Data Science Job Without Experience

Summary

Title: How to Get a Data Science Job Without Experience

Price: Free

Average Rating: 4.5

Number of Lectures: 20

Number of Quizzes: 1

Number of Published Lectures: 20

Number of Published Quizzes: 1

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 21

Original Price: Free

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Aspiring data scientists

Academic researchers looking to transition into data science

Target Audiences

Aspiring data scientists

Academic researchers looking to transition into data science

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.

Course Curriculum

Chapter 1: How to Get an Interview

Lecture 1: Your goal is not to get a job

Lecture 2: The résumé that got me ZERO calls

Lecture 3: Top-3 skills recruiters are looking for: Machine Learning

Lecture 4: Data Science project ideas

Lecture 5: Top-3 skills recruiters are looking for: Python for Data Science

Lecture 6: Top-3 skills recruiters are looking for: Business Acumen

Lecture 7: Other 2 skills recruiters like to see

Lecture 8: The improved résumé that got me interviews

Lecture 9: Tips for writing your résumé

Lecture 10: Elon Musks résumé

Lecture 11: Step-by-step résumé writing guide and template

Lecture 12: Where to find a data science job

Chapter 2: How to Get Hired

Lecture 1: How well you should know machine learning

Lecture 2: How to prepare for a machine learning quiz

Lecture 3: What the data science take-home assignment is all about

Lecture 4: How to prepare for a take-home assignment

Lecture 5: How to structure a data science notebook (PDF guide)

Lecture 6: What the on-site interview is all about

Lecture 7: How to prepare for an on-site interview

Lecture 8: BONUS

Instructors

Emmanuel Maggiori
Computer Scientist

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 13 votes

4 stars: 35 votes

5 stars: 53 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!