10 steps to start career in data science

10 steps to start career in data science

1.Choose the right role

1.Choose the right role

A data visualization expert, a machine learning expert, a data scientist, data engineer, etc are a few of the many roles that you could go into

2.Take a course and finish it.

2.Take a course and finish it.

When you take up a course at Vista Academy, go through it actively. Follow the coursework, assignments, and all the discussions happening around the course

3.Select a tool or language, then stick with it.

3.Select a tool or language, then stick with it.

approach would be to begin your data science adventure using any of the popular tools or languages available.

4. Adopt a peer groupe

4. Adopt a peer groupe

The process appears a bit simpler when you have friends around you.

5.Focus on actual applications rather than theory.

5.Focus on actual applications rather than theory.

you should focus on the practical applications of things you are learning.

6.Improve your communication .

6.Improve your communication .

They expect that if they are technically profound, they will ace the interview. This is actually a myth.

7.Network, but don’t waste too much time on it!

7.Network, but don’t waste too much time on it!

You get to meet people in your area who work actively in the field

8.Database knowledge and SQL is a must

8.Database knowledge and SQL is a must

Knowledge of data storage techniques along with the basics of big data will make you much more favorable

9.Study programming

9.Study programming

we still use programming skills

10.Create a portfolio that stands out

10.Create a portfolio that stands out

Search the internet for cool problems and projects, create the solutions, and post on your GitHub or your kaggle

Enroll today!

Enroll today!

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