GitHub for Data Science Job Seekers
1hIntermediate2022-09-15
Authors

Isil Berkun
Data Scientist at Intel Corp.
Course details
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.
Skills covered
Version ControlData Science FoundationsGitHubJob SearchingSoftware Development ToolsCareer DevelopmentData ScienceSoftware DevelopmentOne-Off
Concepts
0. Introduction
- 01 - Utilize GitHub for your data science resume
1. GitHub Overview
- 02 - What is Git and GitHub
- 03 - Sections in GitHub
- 04 - GitHub profile readme optimization
2. How to Construct a Project Resume
- 05 - GitHub repo descriptions and tags
- 06 - Target industry of the project
- 07 - Project flow
- 08 - Visualization
3. Projects
- 09 - Exploratory data analysis (EDA)
- 10 - Prediction - Regression
- 11 - Prediction - Classification
- 12 - Cluster analysis - Unclassified data
- 13 - Advanced data science - Deep learning
Conclusion
- 14 - Next steps
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Related learn paths
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