Get a Remote Data Science Job
Get a Remote Data Science Job
What you’ll learn
Skills you’ll gain
Finding a remote data science dream job can be challenging, but as companies are expanding their data science teams, it’s a great time to master your remote job search skills. Take control by learning the specific steps from fellow data scientist Michael Galarnyk. Find out how to identify data science job openings, build a data science portfolio that includes an online presence, nail interviews, and dial in your networking. By the end of this course, you should have the confidence to stay vigilant in your job search and land the perfect remote data science job.
Syllabus
Download syllabus-
1
Identify data science job types Data science is a very broad field. After this lesson, you'll be able to identify which types of data science jobs fit your interests. 1m
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2
Find online job listings Finding job listings online can help you prepare your resume and portfolio. 2m
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3
Fill your skill gaps It is common for people to continually educate themselves in data science. 1m
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Importance of a portfolio While a resume matters, having a portfolio of public evidence of your skills can do wonders for your job prospects. 2m
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2
Showcase your projects Even for an entry level role, most companies want to have people with at least a little bit of real-world experience. 1m
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3
Optimize your resume Recruiters and hiring managers skim resumes very quickly, and you only have a short time to make an impression. 1m
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4
Write a cover letter Though you may not need to write one, a good cover letter can only help your resume. 1m
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Optimize your LinkedIn profile Unlike a resume, which is confined by length, a LinkedIn profile allows you to describe your projects and work experience in more depth. 1m
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2
Build your GitHub portfolio GitHub can help show off your job aptitude. 1m
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3
Write a data science blog A lot of data science is about communication and presenting data, and blogging is a great way of practicing. 2m
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Identify valuable connections Networking in any job hunt is important. After this lesson, you'll be able to identify who in your network you should be reaching out to. 1m
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2
Request a referral Referrals are a great way to get your foot in the door. 1m
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Prepare for assessments Case studies and take home assignments are common when you apply for a data science job. 1m
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2
Stand out remotely Remote interviewing is just slightly different than in person interviewing. 1m
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3
Craft your follow-up strategy Until you have a signed an offer and you have officially started, you should keep on applying. 1m
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Your path forward Thank you for watching this course! 1m
Certificate
Certificate of Completion
Awarded upon successful completion of the course.
Instructor
Michael Galarnyk
Michael is a recognized Python instructor and blogger.He taught University of California, San Diego, Extension, and Stanford Continuing Studies. Michael is constantly expanding his knowledge of the latest Python tools and technologies.You can find Michael on Medium or LinkedIn.
Michael Galarnyk
Python Instructor and Blogger
Accreditations
Link to awards
How GoSkills helped Chris
I got the promotion largely because of the skills I could develop, thanks to the GoSkills courses I took. I set aside at least 30 minutes daily to invest in myself and my professional growth. Seeing how much this has helped me become a more efficient employee is a big motivation.
