Leaders in Pharmaceutical Business Intelligence (LPBI) Group

A Learning Path To Become a Data Scientist

By Sara A. Metwalli, Associate Editor at Towards Data Science.

Step №1: Programming

Step №2: Databases

Step №3: Math

Step №4: Version Control

Step №5: Data Science Basics

Step №6: Machine Learning Basics

Step №7: Time Series and Model Validation

Step №8: Neural Networks

Step №9: Deep Learning

Step №10: Natural language Processing

Conclusion

Here we are at the “end” of the road. End here between quotation, because just like any other technology-related field, there’s no end. The field is developing rapidly because new algorithms and techniques are under research as I type this article.

So, being a data scientist means you will be in a continuous learning stage. You will be developing your knowledge and your style as you go. You will probably feel more attracted to a specific sub-field than another and dig even deeper and maybe specialize in that sub-field.

The most important thing to know as you embark on this journey is, you can do it. You need to be open-minded and dedicate enough time and effort to achieve your end goals.

Original. Reposted with permission.

Related:

• Essential Linear Algebra for Data Science and Machine Learning
• Beginners Learning Path for Machine Learning
• How To Overcome The Fear of Math and Learn Math For Data Science

SOURCE

https://www.kdnuggets.com/2021/07/learning-path-data-scientist.html