Dear Student,

Steps to follow for becoming a data scientist :-

1. Practice coding a lot - Data Science involves a lot of programming as from controlling equipments, processing data on them, building simulation to figures plotting, all are performed with the help of coding. Also, if you practice algorithms with competitive programming, it would be nice. You can start with python as your language because python is in great demand for data scientist.
2. Acquire knowledge on machine learning - You can find various materials and courses for the same. Focus more on understanding the pattern, the pros and cons of each algorithm, and what library can be used to implement them and don't go for attempting the algorithm from scratch.
3. You can participate on Kaggle - It is an amazing platform for beginners to find examples on how to solve a machine learning problem and practice as they learn.
4. Do personal Data Science projects - This means that you yourself have to decide what you have to work upon, where you will find the data, and how to get the solution and importantly, without much references from other’s works. Doing self-initiated and self processed projects and uploading them to your blog or Github will have many benefits when you will apply for a Data Science job. You can go for projects on Computer Vision, Natural language processing and classical machine learning.
   
   In a nutshell,

• You need to have the right mindset
• Practice coding on daily basis
• Acquire machine learning knowledge through books and MOOCs, but don't spend more time on one topic, there is much to learn.
• Practice what you have learned through Kaggle
• Do projects on your own, it will help you with better understanding.

Happy Learning!