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Thank u
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Here’s a list of fundamentals you can started with in order:
Understand what data types are (integers, strings, floating point numbers) and how all of those data types are different.
Learn loops and conditionals – Loops execute a block of code several times and conditionals tell the program when to stop executing that block of code.
Learn how to manipulate data – Practice this by reading data into your Python program and then doing some kind of computations on it, cleaning it up, and maybe even writing it out to a CSV file. You'll want to understand exactly how you can manipulate data because that is a huge part of a data scientist’s job.
Algorithms – use algorithms to build models and maybe even create your own models.
Data Visualizations - This is my favorite part of data science! There are multiple Python libraries or packages to help you do this.
Communication – Begin communicating these things that you’ve learned in a way that other people can explain to solidify that learning.
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You have to be strong in mathematics you need to learn python libraries which are using widely in this field like numpy ..pandas matplotlib ,scipy .
Refer any data science course you can search on YouTube if u want quality content then you can search on Coursera platform u can audit course free .