15 Tips for Landing a Data Science Job

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Michael Galarnyk and Madecraft

32:00

16 View

01 - Introduction

01 - Land your dream job.mp4

01:01

02 - 1. Find Opportunities

01 - Identify job types.mp4

02:12

02 - Explore online forums.mp4

02:19

03 - Overcome gaps.mp4

02:31

03 - 2. Present Your Experience

01 - Showcase your work.mp4

02:01

02 - Build your projects.mp4

02:13

03 - Build your resume.mp4

02:22

04 - Craft your cover letter.mp4

01:43

04 - 3. Build Your Online Presence

01 - Optimize your LinkedIn profile.mp4

02:03

02 - Create impressive GitHub projects.mp4

02:05

03 - Build a compelling blog.mp4

02:13

05 - 4. Leverage Your Network

01 - Identify valuable connections.mp4

01:35

02 - Request a referral.mp4

01:50

06 - 5. Ace Your Interviews

01 - Prepare for assessments.mp4

02:07

02 - Stand out in interviews.mp4

01:23

03 - Craft your follow-up strategy.mp4

01:47

07 - Conclusion

01 - Begin your journey.mp4

00:35

Description

Finding and landing the perfect data science job can be challenging, but as demand and flexibility in the field grow, it’s a perfect time to master your job search skills. In this course, Python instructor and blogger Michael Galarnyk shows you how to find data science job opportunities, showcase your experience, build and leverage an online presence, and prepare to network and interview. Learn how to identify job types, explore online forums, and overcome gaps in your education or experience. Go over the best ways to present your experience through work, projects, resumes, and cover letters. Find out how to optimize your LinkedIn profile, create impressive GitHub projects, and build a compelling blog. Examine best practices for identifying connections and requesting referrals. Plus, learn how to ace your interviews and follow up effectively.

This course was created by Madecraft. We are pleased to host this training in our library.

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Data Science

Michael Galarnyk and Madecraft

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