Even for an entry-level role, most companies want to have people with at least a little bit of real-life experience. In this video, learn how to confidently exhibit your projects as real-world data experience.
- How do you create a project … that'll make you stand out from other applicants? … Since all a project requires is data … and initial question you want to answer, … one way to stand out is to have interesting data. … You may be able to do impressive machine learning, … but if your data is boring, … you're making it more difficult than it has to be … to build an intriguing project. … In this video, I will share some tips … on how to make your data science projects stronger. … Now, there are a couple of things to keep in mind … when you're working on a project. … The first thing is to find interesting data. … You shouldn't use any dataset like Titanic, … MinCED or Empty Cars. … Better choices including finding less common … Kaggle datasets and using API to get data from Twitter, … Yelp and various other sites. … One thing to keep in mind when you're looking … for remote data science roles is to find data relevant … to the industries you're interested in. … For example, if you're trying …
This course was created by Madecraft. We are pleased to host this content in our library.
- Types of remote data science jobs
- Filling skills gaps
- Building a portfolio
- Writing your resume and cover letter
- Marketing yourself online
- Interviewing remotely