How to Become a Data Scientist Without a Degree in Data

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1. Use resources to learn the basics.

The Learning Basics program is based on an important axis, which is learning a programming language, which is the cornerstone of learning data science, and the Python language is the most appropriate option at the beginning. Here, I do not intend to neglect the importance of other programming languages, each of which has its own function and importance, so some may not agree with me in the opinion, it may be For them, the best option is SQL, and those who need to use data visualization may consider it necessary to learn the R language, but what everyone agrees on is that all programming languages and with their different functions often complement each other.

In general, at the beginning of the learning journey, I do not recommend that you distract your thoughts by learning more than one language, so that boredom or frustration does not creep into you at a time when you are most in need of focus and desire to learn.

2. Let those around you know that you are studying data science.

During your journey in learning data science, you are in dire need of support and encouragement. Informing those around you that you are studying data science may make many take the initiative to provide assistance and support, especially those who are willing to learn this type of science from your peers.

Knowing everyone about your studies may open up horizons of learning for you that contribute greatly to raising the level of your expertise and skills so that you have a high scientific balance that you would not have reached during your learning on your own.

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3. Market yourself as a data scientist.

When you reach the level of a good data scientist, you will find employment opportunities open to you, so when you apply for a job in data science, you must clearly define your goal, and you should employ everything you have learned to show your skills and experience. The correct handling of problems and solutions that usually confront the data scientist during his career, present everything you have, present your projects and discuss them, impress them with your confidence in yourself, your information and your expertise, then you will be the focus of their attention and you will gain their admiration and increase your chances of success and acceptance

From my point of view, these were the most important factors that help build a data scientist who does not have a degree in data, and there is no doubt that you share my opinion that there are other factors that contribute to the refinement of expertise and skills. Let’s get to know some other factors that you see achieve this and discuss them together I wish you luck and success

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Ų£ŲŖŁ…Ł†Ł‰ Ł„ŁƒŁ… Ų§Ł„ŲŖŁˆŁŁŠŁ‚ ŁˆŲ§Ł„Ł†Ų¬Ų§Ų­

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2 thoughts on “How to Become a Data Scientist Without a Degree in Data”

  1. Cool stuff!.
    Here is what I think
    Great tips on becoming a data scientist without a degree in data! Learning the basics, informing others about your studies, and marketing yourself as a data scientist can all contribute greatly to your success in this field. Best of luck on your journey!
    Thanks, Ely Shemer

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    1. Thanks for your comment. Actually this is the way I learned Data Science, self learning using online rescources
      and performing many data projects. The more you practice the more you learn.

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