Question

how to make science portfolio .?​

Answer 1

Explanation:

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there is basically 3 steps

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. Data Science Internship (Or Equivalent)

Yes. Data Science related internships.

We’re not only talking about data scientist internship, but also including data analyst, data engineer, business intelligence or analyst, research engineer, and other related internships.

The important point is this: As long as the internship requires you do some form of data collection, analysis, models building, or visualization, the skills learned are highly transferable to any data science jobs in the market.

So getting a data science relevant internship is the first step

2. Projects

Getting data science internships is the first step. But what if you’re just starting out and have zero experience in data science work? How do you get experience when you’re not given an opportunity to get experience?

The answer is by doing projects. In my opinion, there are 2 types of projects — school projects and personal projects. And I’d definitely recommend to go for the latter.

Let’s be brutally honest to ourselves for a moment. Think about the current competitive job market. In the sea of candidates seeking for employment, we’re just another candidates who have the common goals but with different experience.

3. Social Media

Imagine now that you have a solid portfolio with data science internships and involvement in various projects.

After spending countless hours on working on your internships and side projects, you know you’re well-prepared with knowledge and experience that would potentially land you a job in data science. But you have nowhere to showcase your capability and portfolio except on a piece of paper — Resume.

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