GitHub for Data Science Job Seekers

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Isil Berkun

59:42

133 View

01 - Introduction

01 - Utilize GitHub for your data science resume.mp4

00:53

02 - 1. GitHub Overview

01 - What is Git and GitHub.mp4

03:59

02 - Sections in GitHub.mp4

02:46

03 - GitHub profile readme optimization.mp4

04:24

03 - 2. How to Construct a Project Resume

01 - GitHub repo descriptions and tags.mp4

01:53

02 - Target industry of the project.mp4

03:52

03 - Project flow.mp4

03:09

04 - Visualization.mp4

04:41

04 - 3. Projects

01 - Exploratory data analysis (EDA).mp4

06:00

02 - Prediction Regression.mp4

05:30

03 - Prediction Classification.mp4

09:08

04 - Cluster analysis Unclassified data.mp4

05:56

05 - Advanced data science Deep learning.mp4

06:29

05 - Conclusion

01 - Next steps.mp4

01:02

Description

Explore ways to use your GitHub profile and projects to increase your value add and visibility, improve opportunities to be recognized for your work, and secure a job. Hiring teams view and assess profiles when vetting candidates. In this course, instructor Isil Berkun shows you exactly how to make your profile shine, if you're looking for jobs in data science. Isil explains what Git and GitHub are, as well as the sections to fill out for your data science profile. She goes over how to make a better profile readme by using online generators, then steps through how to construct a project resume. Isil highlights several great project ideas for an EDA portfolio, then finishes up with useful advice on what hiring managers are looking for.

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Data Science

GitHub

Job Search

Isil Berkun

Instructor's Courses

I solve engineering problems with data driven insights. Here is the course I recently taught over at LinkedIn Learning: https://www.linkedin.com/learning/python-working-with-predictive-analytics

Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.