How to become a data scientist: seven more convenient ways than online courses
Posted: Sun Feb 02, 2025 7:01 am
Would you like to work as a Data Scientist? There are many ways to get into this in-demand profession, and online courses aren't the best way. Here are some alternatives.
1. Solve a real problem
Novice specialists can choose a problem and solve it using machine learning tools. This is not easy when there is no roadmap. But it is a real experience that will tell about the applicant as a specialist with experience, regardless of whether the solution was successful or not.
Here are examples of such problems:
detect fake news;
predict the cost of housing in your area;
recommend a pet depending on a person's lifestyle.
If the solution works (at least partially), it's worth creating an interface for it and posting it on Hacker News or Product Hunt.
This experience can be added to your resume by writing “data bulgaria number data scientist” in the job title field. If the problem was solved using machine learning, no one will notice that the project team consisted of one person. This experience can then be used in an interview and will carry more weight than an online certificate.
2. Find an AI expert mentor
Another recommendation is to meet with an experienced professional who could recommend artificial intelligence tools for the tasks you are trying to solve.
You can find a mentor in the following ways:
connect with local data science professionals via LinkedIn;
invite them for coffee;
come up with a specific problem and options for solving it to get feedback;
After implementing the solution, organize a meeting again to discuss the results.
3. Complete an internship in machine learning
Internships pay less, but you can participate in real projects that use artificial intelligence. This method is not for everyone, and is more suitable for young professionals or students. Not everyone will be able to quit their job and become an intern, but you can find a part-time or remote option. It is important that your resume includes experience related to a project using artificial intelligence.
1. Solve a real problem
Novice specialists can choose a problem and solve it using machine learning tools. This is not easy when there is no roadmap. But it is a real experience that will tell about the applicant as a specialist with experience, regardless of whether the solution was successful or not.
Here are examples of such problems:
detect fake news;
predict the cost of housing in your area;
recommend a pet depending on a person's lifestyle.
If the solution works (at least partially), it's worth creating an interface for it and posting it on Hacker News or Product Hunt.
This experience can be added to your resume by writing “data bulgaria number data scientist” in the job title field. If the problem was solved using machine learning, no one will notice that the project team consisted of one person. This experience can then be used in an interview and will carry more weight than an online certificate.
2. Find an AI expert mentor
Another recommendation is to meet with an experienced professional who could recommend artificial intelligence tools for the tasks you are trying to solve.
You can find a mentor in the following ways:
connect with local data science professionals via LinkedIn;
invite them for coffee;
come up with a specific problem and options for solving it to get feedback;
After implementing the solution, organize a meeting again to discuss the results.
3. Complete an internship in machine learning
Internships pay less, but you can participate in real projects that use artificial intelligence. This method is not for everyone, and is more suitable for young professionals or students. Not everyone will be able to quit their job and become an intern, but you can find a part-time or remote option. It is important that your resume includes experience related to a project using artificial intelligence.